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To generate a research overview of digital banking, we did a bibliometric analysis. In our bibliometric analysis, we identified 2475 papers about digital banking that were published in the previous 10 years (2013–2023) from 1492 different sources under the direction of 6777 academics. The bibliographic information was gathered using the Scopus database. The dataset was examined using the bibliometric R program Biblioshiny. The number of digital banking research publications published each year, the most relevant author, the most cited articles, thematic maps, and trending topics are all listed. A keyword analysis showed that "blockchain", "security", "digital banking", and "digital storage" appeared most often. The research results will be significant to scholars, researchers, and policymakers in banking, as the study showed the roadmap and pathways to scientifically understanding current and future research trends. [ABSTRACT FROM AUTHOR]

We assessed 6122 environmental modelling papers published since 2005 to determine whether the number of citations each paper had received by September 2014 could be predicted with no knowledge of the paper's quality. A random forest was applied, using a range of easily quantified or classified variables as predictors. The 511 papers published in two key journals in 2008 were further analysed to consider additional variables. Papers with no differential equations received more citations. The topic of the paper, number of authors and publication venue were also significant. Ten other factors, some of which have been found significant in other studies, were also considered, but most added little to the predictive power of the models. Collectively, all factors predicted 16–29% of the variation in citation counts, with the remaining variance (the majority) presumably attributable to important subjective factors such as paper quality, clarity and timeliness. [ABSTRACT FROM AUTHOR]

This paper provides a comprehensive bibliometricanalysis of solid-state circuit breakers, including technological developments and control methods in electric power distribution systems. By compiling and analyzing data from the Scopus database, the most cited papers in the field of protection system mechanisms can be identified. These papers, published in influential journals from various countries, covered different subject areas and case studies. Notably, 77.64 % of the articles focused on technological development and experimental control methods, while 22.35 % were review-based studies. This underscores the increasing interest among researchers in advancing the sustainability and reliability of protection devices in electric power distribution systems. The paper aims to identify and analyze the highly cited published articles on the respective field to provide future research direction on the technological development and control methods towards solid-state circuit breaker protection devices. The review also underlines numerous factors, issues, challenges, and difficulties that next-generation power semiconductor should overcome with in regards to system sustainability. Thus, this analysis will strengthen the scopes and provide context for the development of technology and control in the main protection devices in order to achieve an efficient, reliable, cost-effective, and sustainable power supply. [ABSTRACT FROM AUTHOR]

Oral submucous fibrosis (OSF) affecting populations is considered a public health issue in South/Southeast Asia. The purpose of this study was to analyze the scientometric characteristics and research trends of OSF. All the papers on OSF were comprehensively retrieved from the Scopus database. Regional comparison (India versus outside of India) and chronological comparison (before 2015 versus after 2015) were performed. Among all the 1357 papers on OSF, 930 (68.5%) were from India. In India, biology research on antioxidant, oxidative stress, angiogenesis, and extracellular matrix were distinctive keywords. Risk factors of smokeless tobacco and gutkha and the roles of saliva and blood sampling were also distinctive keywords in India. In outside of India, biology research on myofibroblast, alpha smooth muscle actin, microRNA, long untranslated RNA, and protein p53 were distinctive keywords. The trend of biology research on connective tissue, genotype, genetic predisposition, messenger RNA, and cytology before 2015 has changed to research on myofibroblast, biological marker, microRNA, epithelial mesenchymal transition, extracellular matrix, and oxidative stress after 2015. The trend of clinical aspects of surgery and mouth hygiene before 2015 has changed to the aspects of adverse event/effects, complication, and quality of life after 2015. This scientometric study elucidated the current scenario and research trends of OSF, and would help in improving in reciprocal collaboration and communication for this disease control in South/Southeast Asia. [ABSTRACT FROM AUTHOR]

This paper presents a bibliometric analysis of digitalization and cybersecurity in Small and Medium Enterprises (SMEs), using the R tool Bibliometrix, with a total of 417 papers. First, our paper contributes to academia by showing that research on this topic is grouped into four clusters corresponding to four research lines: Industry 4.0 and Smart Factory; Industry 4.0 and SME; SME and Cybersecurity; Digitalization, SMEs, and Entrepreneurship. Second, our paper contributes to the literature by highlighting the existing gaps. We see that the digital transformation of SMEs entails increasing exposure to possible cyberattacks, which can be a determining factor for digitalization and, additionally, can affect the future of the SME business. In this context, we see that this gap has not been covered, as research lines have been found that focus on these issues but are unconnected. Regarding future research, we can predict that cybersecurity in SMEs will be a particular case of cybersecurity in firms, separated from research on digitalization in SMEs, which addresses issues such as smart factories and Industry 4.0 objectives in these enterprises. [ABSTRACT FROM AUTHOR]

This study probed into the gender variation, subject dispersion and citation impact of dental research with an objective to highlight the increasing influence of female authors in the field of dentistry. The research employed bibliometric techniques to highlight gender variation in dental research as demonstrated in the Saudi Dental Journal (SDJ), over a period of thirteen years, 2009–2021. The examination comprised SDJ publications indexed in PubMed, with citation data extracted from Google Scholar on July 2023. The analysis encompassed the progressive growth of papers, authors, and citations, the gender distribution of authors, the co-authorship structure, subject dispersion, and collaboration patterns based on affiliation, both national and international. 625 SDJ publications were identified in the PubMed database from 2009 to 2021. There was a notable rise in the volume of papers and the number of authors per year. The citation impact analysis revealed that these 625 papers achieved an average of 26 citations each. Remarkably, the representation of female authors increased from 0.47 to 2.23 authors per paper during the study period. The authorship pattern largely showed single-authorship, closely followed by a three-author pattern. Almost half the papers (48%) were a collaboration between male and female authors, with female authors solely producing about 15% of papers. The topological classification of papers revealed that the most considerable number of papers were on Periodontics, with the least number focusing on Oral and Maxillofacial Surgery. Female authors prominently contributed to Pediatric Dentistry and Periodontics papers. The study illustrates an encouraging trend of heightened female authorship in dental research over the years. Their increasing engagement not only enriches the academic diversity but also impacts the progressive evolution of dental science, contributing to a more inclusive and balanced society. [ABSTRACT FROM AUTHOR]

In recent decades, the interest of the scientific community in plant space biology increased based on the certainty that cultivating higher plants in space is imperative for prolonged human missions. The cultivation of plants in space assumes great relevance moved by the consideration that there is a pivotal need to improve resource regeneration and onboard production of plant-based food, thus reducing the supply of resources from Earth. Therefore, the hereby paper provides an overview on the evolution of the interest in plant space biology from 2000 to 2023, basing the search on specific keyword combinations. The study encompasses (i) a proper quantitative search on the Scopus database; (ii) keyword frequencies and clustering analysis, (iii) a keyword network and time-gradient analysis and (iv) an elaboration of knowledge gaps comparing our results and recent reviews. Results highlighted an increase in publications in the last 10 years and a specific time-gradient related shifting on subtopics such as in situ resource utilization (ISRU) application and food production in a space mission context. Currently, knowledge gaps were identified in four research areas related to water dynamics in extra-terrestrial environments, plant physiology and biochemistry in response to growth on regolith, interactions with fertilizers, and plant/soil microbiome. Identifying these gaps will allow to canalize future efforts of space research where needed, facing the unsolved questions. Our analysis pointed out that space plant biology turned out to be oriented towards short and long-term space mission applications for improving resource regeneration and onboard/extraterrestrial-grounded production of plant-based food, thereby diminishing reliance on Earth for resupply. • The scientific community's interest in plant space biology increased in the perspective of prolonged human missions. • The bibliometric analysis highlighted a general increase in publications in the last ten years. • Publications shifted their focus on subtopics such as ISRU application and food production in a space mission context. • Main identified knowledge gaps are water dynamics in space, plant growth on mars-like soils, and plant/soil microbiome. [ABSTRACT FROM AUTHOR]

[Display omitted] In order to assess the research status, hot issues of artificial intelligence in nursing to provide reference for scholars. This work conduct a quantitative analysis on related literature in WOS from 2011 to 2022 by mathematical and statistical methods, including publication trend, journals, author, institution, national and regional, keyword, literature co-citation. The hotspots and trends were revealed. The results showed that: (1) scholars' attention to it showed a steady increasing. (2) There were 20 journals published more than 6 papers, published 205 papers, that's 30.83 % of the total, Journal of Healthcare Engineering published the most papers, that's 8.78 %. (2) Kendrick Cato, Lisiane Pruinelli published the most papers, that's 2.95 %, which have strong cooperation. (3) Harvard Medical School, Columbia University and University of Minnesota published 114 papers, that's 8.21 % of the total, were the core unit, Harvard Med Sch, Columbia Univ and Univ Penn had strong cooperation. (4) The United States, China, Japan, Australia and United Kingdom are the top five countries for publishing papers, that's 80.3 % of the total. The cooperation degree of the each are 0.51, 0.36, 0.07, 0.04, and 0.06. (6) "electronic health record", "risk prediction" and "supervised machine learning" are current research hotspots. [ABSTRACT FROM AUTHOR]

• This review paper is aimed to summarize the latest important advances in cast magnesium alloys, wrought magnesium alloys, bio-magnesium alloys, Mg-based energy storage materials and corrosion and protection of Mg alloy in 2022, including both the development of new materials and the innovation of their processing technologies. • The main research focus of magnesium alloys were analyzed by bibliometrics. The bibliometric analyses indicate that the microstructure, mechanical properties, and corrosion of Mg alloys are still the main research focus. Bio-Mg materials, Mg ion batteries and hydrogen storage Mg materials have attracted much attention. • Based on the issues and challenges identified here, some future research directions are suggested. More than 4600 papers in the field of Mg and Mg alloys were published and indexed in the Web of Science (WoS) Core Collection database in 2022. The bibliometric analyses indicate that the microstructure, mechanical properties, and corrosion of Mg alloys are still the main research focus. Bio-Mg materials, Mg ion batteries and hydrogen storage Mg materials have attracted much attention. Notable contributions to the research and development of magnesium alloys were made by Chongqing University (>200 papers), Chinese Academy of Sciences, Shanghai Jiao Tong University, and Northeastern University (>100 papers) in China, Helmholtz Zentrum Hereon in Germany, Ohio State University in the USA, the University of Queensland in Australia, Kumanto University in Japan, and Seoul National University in Korea, University of Tehran in Iran, and National University of Singapore in Singapore, etc. This review is aimed to summarize the progress in the development of structural and functional Mg and Mg alloys in 2022. Based on the issues and challenges identified here, some future research directions are suggested. [ABSTRACT FROM AUTHOR]

Recurrent aphthous stomatitis (RAS) is a common oral mucosal disease. Despite a variety of scientific articles have been available till date, merely a few scientometric analyses have been systematically carried out in this field. The objective of this study was to recognize the hotspots and research trends related to RAS via bibliometric approach. The Elsevier's Scopus database was searched to retrieve qualified literature through an advanced search strategy on 9 Feb 2023. The basic information was collected as following: article type, publication year, journals, impact factor, the count of citations, citation density, keywords, authors, contributing institutions and country. A list of 986 publications were identified from 1933 to 2022, and the number of citations for each paper varied from 0 to 283. A steady increasing trend in the number of documents could be observed each decade with the summit in 2010s. Controlled study (n = 334) and major clinical study (n = 192) were the most common types of study design. Scully C (n = 26) was identified as the most productive author. United States (n = 166) and Turkey (n = 101) top the list of dedicating countries. This report would offer profound insight into the current status of RAS research and serve as a reference source for anyone planning to enhance the quality of future work. [ABSTRACT FROM AUTHOR]

The use of Online Games (OGs) in education has sparked significant interest in recent years. Despite the proliferation of various applications and approaches, the precise role of OGs in higher education remains uncertain. Therefore, this study aims to provide an overview of the integration of Online Games (OGs) in higher education. This study considered the broad perspective of OGs' use, not limiting the application to teaching strategies, to fully understand the variety of implementations. Using bibliometric analysis and coding, we processed journal articles and conference papers from the Scopus database, resulting in a sample of 109 documents. Four dimensions were found, with studies currently focused on: types of content and learning goals (89.9%), students' behavior towards the use of OGs in higher education (57.79%), OG software and applications (53.21%), and teachers' behavior toward the use of OGs in higher education (5.5%). Within these dimensions, we identified a total of 16 distinct elements as subtopics for further discussion and research opportunities. Notably, there is a lack of context-specific studies, both in terms of geographical region and disciplinary focus, indicating a pressing need for empirical investigations tailored to diverse educational contexts. [ABSTRACT FROM AUTHOR]

Yang and Meng (2020) used sub-optimal search keywords and methods to publish a bibliometric paper in Ecological Indicators. There are two questionable parts to the original paper: a filter could be used to retrieve a more accurate set of data and the use of sub-optimal search keywords. There is a big difference between the two results that were searched using search keywords ("carbon footprint", "carbon footprints", and "carbon footprinting") which we suggested and ("carbon footprint") which authors used. Finally, an appropriate method and search keywords were presented. [ABSTRACT FROM AUTHOR]

To determine the institutions, journals of choice and topics of investigation of the most prolific and highly cited Spanish optometrist researchers. As a primary search strategy, the Scopus database (Elsevier) was queried with the terms (optometr* OR "contact lens*" OR refracti* OR *ocular) and the affiliation country filter "Spain". The list of authors returned by the primary search was used in a secondary manual search based on co-authors and institutions. Authors were included in the analysis if they had an h-index > 10, were of Spanish nationality, were affiliated to Spanish institutions, and possessed an optometry degree. Authors were ranked by h-index, number of publications and number of citations. Topics of research interest and target journals were determined by analyzing the 10 most highly cited papers of each author. A total of 32 authors with an h-index > 10 were identified, of whom 14 (43.7%) were female. Only one author had an h-index > 40, and 7 (21.9%) authors had an h-index over 20. The Journal of Cataract and Refractive Surgery was the first journal of choice (19.1% of highest cited papers), followed by Optometry and Vision Science (10.3%). The Universidad Complutense de Madrid hosted the largest percentage of authors (18.7%), followed by the Universitat de València (15.6%). Main topics of research interest were topography (6.5% of papers), cornea (6.2%) and contact lens (5.0%). Optometry in Spain is a fertile field of research, with an increasing number of highly cited authors publishing in high impact journals. [ABSTRACT FROM AUTHOR]

The association between technology and social development is particularly important in the health field, pointing to research in e-Health to optimize health services. This paper aimed to carry out a bibliometric mapping of software architecture for e-Health systems, so an exploratory and descriptive study was performed, with a quantitative approach and based on secondary data from ISI Web of Science. The bibliometric indicators showed 127 different papers in 97 sources, with 16.92 citations per paper and a collaboration index of 4.18 with higher scientific productivity from Europe and North America. Scattered networks of co-citation of the sources and co-occurrence of the keywords were identified, pointing to three main approaches in the research theme, including (i) a managerial view of e-Health systems based on the development of frameworks; (ii) data privacy in health services; (iii) and application of digital technologies, especially Big Data, IoT, Cloud Computing, and Blockchain as corroborated by the word cloud. In addition, for the evaluation of the countries that have the largest number of scientific production and to assess the most used keywords, a descriptive statistical analysis was performed to organize the dataset and to obtain the measures of centrality, dispersion, and frequency. This paper contributes to direct the discussion about software architecture and its multifaceted aspects in the health field, guiding architects and practitioners in their e-Health projects. [ABSTRACT FROM AUTHOR]

The industrial transformation is sociotechnical. Industry 5.0 is one of the recent terms to describe this phenomenon, defined as a humanized vision of technological transformations in industry, balancing the current and future needs of the workers and society with the sustainable optimization of energy consumption, materials processing, and product lifecycles. This paper presents a tertiary study of thirty-two literature reviews on Industry 5.0, supported by a bibliometric analysis in the Scopus database. The results show three stages of Industry 5.0 research since 2018, starting with the Industry 4.0 separation. The latest priority is to deploy circular manufacturing strategies supported by human-friendly digitalization capable of anticipating and acting proactively on impacts. Therefore, Industry 5.0 is future-oriented and cross-sectoral, (interactively) diverging from the original configuration of Industry 4.0. For theory, we highlight the findings of recent literature reviews, clarifying the landscape of Industry 5.0 research and suggesting future developments. For practice, this paper presents examples of societal priorities that industries should consider in their digital transformation investments, as crucial as improving economic competitiveness. [ABSTRACT FROM AUTHOR]

Challenged by complex problems and the speed of technological, social, and environmental change, the joint approach of Lean Management and the Agile Mindset has been explored in business as a management model. This paper aimed to carry out a bibliometric analysis of Lean Agile Management, pointing out trends in scientific research. To this end, an exploratory and descriptive study was developed, with a quantitative approach and based on secondary data from the Web of Science and Scopus, between 1994 and 2022. Bibliometric indicators pointed to 1808 different papers in 897 sources, with 18 citations per paper, and higher scientific productivity of U.S. (276), India (221), and UK (191), with production peaks in 2018 and 2021, suggesting the diffusion and contemporaneity of the research topic. The laws of bibliometrics were not met for this research subject, and dense networks of collaboration and co-citation among researchers were identified, mainly in four application domains, including supply chain, manufacturing, sustainability, and software development as corroborated by the word network. [ABSTRACT FROM AUTHOR]

Online collaboration growing significantly in the development of open-source hardware and software has led to a surge of research interest. However, no comprehensive bibliometric review has investigated the management of digital communities in these ecosystems. In this study, academic contributions to the field of online community management in open-source hardware and software were mapped, highlighting influential research streams and trends. A bibliometric review was conducted based on a keyword search analysis of research databases (IEEExplore, Scopus, ScienceDirect, Web of Science), with a sample comprising an overall 399 papers. The study identifies the most impactful articles in the field, maps the diverse streams of research on online collaboration and community management, visualizes focus areas and trends, and pinpoints areas for further investigation. These findings will support future research within this rapidly evolving domain. [ABSTRACT FROM AUTHOR]

The participation of women in sports and the management of women's sports teams have gained significant attention in recent years, underscoring the need to understand the dynamics and organizational aspects of women's sports. However, there is a noticeable lack of comprehensive bibliometric analyses in this domain, hindering a thorough exploration of the existing literature and the identification of key trends and knowledge gaps. This study aims to address this gap by conducting a rigorous bibliometric analysis of sports management competencies in women's semi-professional teams in Europe. Using the VOSviewer software, advanced data analysis techniques, including citation and co-citation analysis, were employed to gain insights into the research landscape, influential authors, seminal papers, and key research trends. The results of the analysis revealed clusters of research topics related to women's semi-professional sports, including performance, gender, football, and sports. The findings of this analysis will contribute to the advancement and success of women's semi-professional teams by informing the development of tailored training programs, educational curricula, and professional initiatives for sports management roles. Ultimately, this study aims to enhance the understanding of sports management competencies in women's semi-professional teams and guide future research endeavors in this area. [ABSTRACT FROM AUTHOR]

Artificial intelligence (AI) is an important enabler of the fourth and fifth industrial revolutions. It has the potential to empower intelligent production systems that are central to industry 4.0 and help place worker wellbeing and the planet at the centre of industry 5.0 processes. However, few studies have considered the different roles of AI in industry 4.0 and 5.0. This paper reports on a bibliometric review of 2887 documents examining the use of AI for industry 4.0 and industry 5.0. We found that scholarly activity increased rapidly from 2018 onwards and can be attributed to a large variety of countries, including India, South Africa and China. Our analysis reveals four clusters in the literature, with two showing particular promise for researchers notably around the themes of industry 5.0 and deep learning. Further insights are presented and discussed, followed by a future research agenda. [ABSTRACT FROM AUTHOR]

Scholarly interest in Green IT has been rapidly growing over the past 15 years in a wide variety of disciplines including computer science, information systems, sustainability, production management and engineering. This is not surprising given the growing environmental impacts of information and communication technologies. This article presents a bibliometric analysis of academic literature across 1862 sources to improve our understanding of the evolution and current state of this multidisciplinary field. The corpus includes 4067 published journal and conference papers identified using the Scopus database. A descriptive performance analysis of the corpus using Bibliometrix software first allows us to identify the most influential works, authors, sources, institutions, and countries in the field. Examination of its conceptual structure reveals that most work has focused on the design and use phases of ICTs and neglected the manufacturing and end-of-life phases. Further insights are provided and opportunities for future research are identified. [ABSTRACT FROM AUTHOR]

This paper examines the existing field of digital innovation publications in management and business journals. Due to the exponential growth of digital technology adoptions in companies, much attention has been given to the new phenomenon of digital innovation. Prior literature reviews have attempted to explore the phenomenon but they seem to lack objectivity and are limited in scope. By applying three bibliometric techniques – co-citation, co-occurrence, and bibliographic coupling analysis – we provide a holistic overview of the digital innovation publications. We employ 354 primary documents, identify three foundational themes from which digital innovation draws on, and seven emerging topics. We conclude with recommendations for future research in the field of innovation management. [ABSTRACT FROM AUTHOR]

Supply Chain Coordination Management (SCCM) is an effective tool and has become a hot topic related to the supply chain. In order to clarify the SCCM research framework and its evolution, we conducted a literature study, using 5748 papers collected from the Web of Science database from 2005 to 2020 as the data source, using bibliometric analysis and visualization methods to document the SCCM research Quantitative analysis and visual analysis. This article first analyzes the time series distribution of papers published in the SCCM field, the core author group, the distribution of research institutions, the distribution of important journals, the author's co-occurrence network, and the keyword cluster analysis, and explains the current research status and research hotspots of SCCM. Secondly, use CiteSpace software to conduct timetone cluster analysis of keywords in the SCCM field, and further explore the frontiers of SCCM research. Finally, 5748 documents are summarized, and the research hotspots of SCCM in various time periods are systematically explained, which can provide theoretical and practical references for the future research. [ABSTRACT FROM AUTHOR]

Lithium, an important material in batteries, has shown an upward trend in demand in recent years. The research and development of lithium resources is of increasing importance because of the richness of lithium resources in Salt Lake brines. With breakthroughs in key technologies, research on lithium in salt lakes is increasing. Based on the research papers on Salt Lake Lithium in the Web of science core dataset, this paper finds that the number of Salt Lake Lithium relevant papers shows an increasing trend in recent year. We further identify the main experts and leading research institutions in the field of Salt Lake lithium research, and the results show that the Chinese academy of science has the leading position in Salt Lake lithium research. Besides, the keyword cooccurrence network indicate that lithium extraction and separation are mainstream research topics. [ABSTRACT FROM AUTHOR]

How can we establish a risk perception model and method to guide safety management has become an important issue that needs to be solved urgently in the field of tourism management. However, the solution to this issue is inseparable from the objective analysis, induction and deduction, and the analysis of the frontier trend towards the multidimensional model of tourism risk perception. In this paper, 211 articles from the Web of Science are selected as the research object, and the bibliometric analysis is applied to find: (1) Research on tourism risk perception based on multidimensional models can be divided into nascent, developmental, and mature stages; (2) The research on the multi-dimensional model of tourism risk perception has formed a group of academic groups with outstanding contributions and representative authors; (3) The research hotspots in multidimensional models of tourism risk perception focus on the comprehensive study of perceived risk, the outbreak of COVID-19, psychological risk, destination image, and behavioral intention. On this basis, this paper proposes some corresponding research suggestions to address the inadequacies of existing studies, and the research findings have significant theoretical implications for the construction of the theoretical system of tourism risk management. [ABSTRACT FROM AUTHOR]

Operation management, which has always been a hot topic in management research for seeking to increase the efficiency of the system using scientific methods. We use the Web of Science database to select the pertinent literature data from 2012 to 2022 with a focus on 10 significant international journals to perform the scoped literature on operation management in this paper. It then conducts a bibliometric analysis of operation management from two perspectives—main direction and development trend—using CiteSpace and VOSviewer. The analysis discovered that between 2012 and 2022, 22952 papers on operation management were published in significant international journals. Of these, 4398 were written by Chinese academics, making up 19.16% of the total. International Journal of Production Research, European Journal of Operational Research, and International Journal of Production Economics were the main venues for Chinese academics' publications. The National Natural Science Foundation of China supported 3446 papers in these journals, or 15.01% of all papers published. A variety of research hotspots are revealed by keyword analysis. The research's findings provide an excellent framework for describing the traits and developments in operation management. [ABSTRACT FROM AUTHOR]

[Display omitted] Artificial intelligence (AI) in education (AIED) has evolved into a substantial body of literature with diverse perspectives. In this review paper, we seek insights into three critical questions: (1) What are the primary categories of AI applications explored in the education field? (2) What are the predominant research topics and their key findings? (3) What is the status of major research design elements, including guiding theories, methodologies, and research contexts? A bibliometric analysis of 2,223 research articles followed by a content analysis of selected 125 papers reveals a comprehensive conceptual structure of the existing literature. The extant AIED research spans a wide spectrum of applications, encompassing those for adaptive learning and personalized tutoring, intelligent assessment and management, profiling and prediction, and emerging products. Research topics delve into both the technical design of education systems and the examination of the adoption, impacts, and challenges associated with AIED. Furthermore, this review highlights the diverse range of theories applied in the AIED literature, the multidisciplinary nature of publication venues, and underexplored research areas. In sum, this research offers valuable insights for interested scholars to comprehend the current state of AIED research and identify future research opportunities in this dynamic field. [ABSTRACT FROM AUTHOR]

• We conducted a quantitative analysis of intelligent SCA technology over the past 20 years using bibliometric methods and data portrait techniques and traced earlier literature for a systematic review. • We identified the hotspots and research frontiers of intelligent ship collision avoidance in maritime transportation. • We discussed the contributions, innovations, and trends of future research in intelligent ship collision avoidance. With the increasing promotion of digital technology, safety issues faced by rush ships in the maritime industry have once again received attention. Ship collision avoidance (SCA) is not only a hot topic in the shipping industry but also an eye-catching issue in the development of intelligent ships. This paper provides a bibliometric and systematic overview of the literature on SCA to assist researchers in understanding the frontiers and recent trends of SCA. Based on the bibliographic portrait, a classification and grading study was conducted on the literature to provide a systematic review of it. A screening process was conducted on 851 relevant articles related to SCA and published in 2004–2023 in the Web of Science (WoS) database, and 526 highly relevant and high-quality papers were selected. Then, CiteSpace, VOSviewer software, and data visualization techniques were used to conduct a bibliographic portrait analysis on the selected papers. The evidence from these systematic literature reviews revealed the close collaboration relationships among researchers, research institutions, and countries or regions in the field of SCA studying shortly. Furthermore, the frontiers of the research on SCA were focused on three aspects, i.e. research subjects, technological methods, and novel algorithms in intelligent SCA. COLREG is a problem that must be considered in intelligent SCA. The future trends in intelligent SCA were explored and SCA technology was introduced from artificial intelligence (AI) so as to meet the safety requirement of maritime autonomous surface ships. AI algorithms such as machine learning and deep learning are key technologies for SCA. This research provides a theoretical basis and implementation directions of the research on SCA. The hybrid encounters between traditional ships and intelligent ships, as well as multi-ship encounters in narrow waterways, will be the focal points of attention in the future. [ABSTRACT FROM AUTHOR]

Correctly adhering to the processes within the software development life cycle (SDLC), from analysis and design to coding and testing, is vital for ensuring the successful and efficient creation of high-quality software applications. These structured phases provide a systematic approach to software development, facilitating clear communication, reducing errors, and improving collaboration among development teams. For the proper and correct use of SDLC processes, it is essential for both software engineers and software decision makers to perform the correct and needed actions while performing each software process, and one method of facilitating that is multicriteria decision making (MCDM). This study aims to provide a systematic review of the use of MCDM within the field of software engineering (SE), encompassing methodologies such as fuzzy MCDM, AHP, TOPSIS, DEMATEL, and other methods, with a deliberate focus on software engineering development processes. To ensure the high quality of this review, a methodical and structured literature search process was performed with strict selection criteria, resulting in the identification of 32 contributions on the applications of MCDM in SE from various databases, including Scopus, ScienceDirect, IEEE Xplore digital library (IEEE), and Web of Science (WOS). The selected papers were taxonomized into seven main categories, with some divided into subcategories. This paper presents a systematic and comprehensive analysis of the aforementioned studies, investigating the challenges, motivations, and recommendations found within each, thereby paving the way for potential future research. Bibliometric analysis is also provided to show concise quantitative analysis of related bibliographic information, which draws several key insights into publication trends. Finally, a critical analysis of the current literature and existing research is presented, while also addressing relevant research gaps. • Investigates the taxonomy of MCDM applicability in software engineering. • Provides four bibliometric analyses and insights into the research landscape. • Explores data quality issues, high computation time, and sampling bias. • Illustrates perspectives on motivations, challenges, and recommendations. • Identifies a critical analysis and research gaps in MCDM-software engineering. [ABSTRACT FROM AUTHOR]

The need to develop novel alternatives to antibiotics gained prominence following the ban on sub-therapeutic antibiotic applications for livestock growth enhancement. This prohibition led to a surge in research papers exploring potential alternatives to antibiotics to promote growth and health in poultry. As a result, it has become imperative to synthesize information regarding research accomplishments and publication patterns in antibiotic alternatives, to assess research gaps and aid regulatory, funding, and research entities in making informed decisions. Consequently, our study aims to systematically analyze and comprehend the research and publication trends related to growth-promoting antibiotic alternatives in poultry. We identified all publications during the search period from 2009 to 2022, utilizing various bibliometric analysis datasets from Scopus, Web of Science/InCites, and Dimensions. The Rayyan web application was employed for manual deduplicating, labeling, and screening the relevant publications. From an initial pool of 2038 publications, we screened and categorized 816 based on factors such as alternative antibiotic categories, publication years, countries, species, journals, and institutes. Our findings reveal that the most prevalent publications are centered around probiotic (30.51%) and phytogenic (24.02%). Notably, the United States leads publication output, followed by China and Egypt. Among poultry species, broilers emerge as the most extensively studied category, followed by layer chickens. Universities emerge as the foremost contributors to antibiotic alternative research, while government institutes and industry occupy the second and third positions, respectively. Upon scrutinizing the journals responsible for the highest publication count and most cited papers, it became evident that the journal " Poultry Science " leads with the highest percentage (13.51%) and the most highly cited publications, accounting for five out of eleven highly cited articles. This comprehensive review outlines research trends concerning diverse antibiotic alternatives, taking into account poultry species and geographical distribution. The future trajectory in this domain is projected to encompass a blend of various antibiotic alternatives that could be administered as a single product and/or the innovative use of novel antibiotic alternatives. [ABSTRACT FROM AUTHOR]

Building Information Modelling (BIM) has emerged as a transformative technology in the field of Facilities Management (FM), which has in turn transformed methodologies and procedures. Therefore, a necessary task is to examine the present condition of the scholarly undertakings in this area and its imminent innovation prospects. The paper pioneers the development a BIM knowledge graph for FM by establishing a visual map of the interrelated themes for better understanding. Along with the use of VOS viewer and R-Bibliometrix software, this paper performed a comprehensive bibliometric analysis on 291 BIM-FM-related documents from the Web of Science (WOS) database for the periods from 2003 to 2023. Findings show the BIM-FM body of knowledge: technological integration and innovation, implementation and adoption strategies, sustainability and energy efficiency, education and professional development, and data management and analysis. This paper substantially contributes to an increasing dynamic discipline and presents future research path for its advancement. [Display omitted] • Application of BIM in FM is worthwhile to be studied. • Developing the BIM-FM integrative knowledge graph. • Leveraging VOSviewer and R-Bibliometrix for data analysis. • BIM changes how FM professionals interact with building data. • BIM-FM enhances sustainability and energy efficiency, as well as FM performance. [ABSTRACT FROM AUTHOR]

Technology adoption has acquired significant research interest, resulting in an expanding volume of literature. However, there is a scarcity of studies using scientometrics and detailed content analysis due to limited quantitative research over time. Consequently, this paper conducts a comprehensive review of 124 peer-reviewed articles to explore and characterize the developmental trajectory of construction-related technology acceptance and adoption literature. The research analyzes aspects such as annual publication trends, citation distributions, scientific collaboration, source citations, and literature content. The outcomes of this paper deepen new researchers' understanding of technology adoption literature, assist practitioners in evaluating emerging technologies, and identify promising domains for future studies. [Display omitted] • Conducting Scientometric analysis on technology adoption in the construction industry. • Visualizing collaboration and citation networks of technology adoption publications. • Performing content analysis and social network analysis on the extracted publications. • Mapping knowledge gaps and directions for developing new technology adoption studies. [ABSTRACT FROM AUTHOR]

Greenhouse gas (GHG) emissions from wetlands have exacerbated global warming, attracting worldwide attention. However, the research process and development trends in this field remain unknown. Herein, 1865 papers related to wetlands GHG emissions published from January 2000 to December 2023 were selected, and CiteSpace and VOSviewer were used for bibliometric analysis to visually analyze the publications distribution, research authors, organizations and countries, core journal and keywords, and discussed the research progress, trends and hotspots in the fields. Over the past 24 years, the research has gone through three phases: the "embryonic" stage (2000–2006), the accumulation stage (2007–2014), and the acceleration stage (2015–2023). China has played a pivotal role in this domain, publishing the most papers and working closely with the United States, United Kingdom, Canada, Germany, and Australia. In addition, this study synthesized 311 field observations from 123 publications to analyze the variability in GHG emissions and their driving factors in four different types of natural wetlands. The results suggested that the average carbon dioxide (CO 2), methane (CH 4), and nitrous oxide (N 2 O) fluxes in different wetlands were significantly different. River wetlands exhibited the highest GHG fluxes, while marsh wetlands demonstrated greater global warming potential (GWP). The average CO 2 , CH 4 and N 2 O fluxes were 60.41 mg m−2·h−1, 2.52 mg m−2·h−1 and 0.05 mg m−2·h−1, respectively. The GWP of Chinese natural wetlands was estimated as 648.72 Tg·CO 2 -eq·yr−1, and CH 4 contributed the largest warming effect, accounting for 57.43%. Correlation analysis showed that geographical location, climate factors, and soil conditions collectively regulated GHG emissions from wetlands. The findings provide a new perspective on sustainable wetland management and reducing GHG emissions. [Display omitted] • A 24-year bibliometric analysis of GHG emissions from wetlands was conducted. • The historical evolution and future trends in the field were summarized. • River wetlands exhibited the highest GHG fluxes. • GWP of China's wetlands was estimated to be 648.72 Tg·CO 2 -eq·yr−1. • CH 4 emissions contribute 57.43% to the GWP value in China's wetlands. [ABSTRACT FROM AUTHOR]

• Co-occurrence network analysis of driving distraction literature in terms of time, country, publication, author and keywords. • Deep learning algorithm recognition model based on video surveillance data source has become the mainstream hotspot distraction recognition method. • Among the driving distraction detection methods based on video images, the accuracy of CNN is higher than that of random forest, but the real-time performance of random forest is better than that of CNN. • Based on ECG and GER to detect driving distraction, there is contact with the driver, the accuracy is high, but the real-time performance is poor. • Driving volatility can be used as a measure of driving distraction, and it is of great significance to study driving distraction. Introduction: The existing selection of driving distraction recognition methods is based on a specific research perspective and does not provide comprehensive information on the entire field of view. Method: We conducted a systematic review of previous studies, aiming to come up with appropriate research methods to identify the driver's distraction state. First, this article selects four sets of search keywords related to driving distraction discrimination from five databases (Web of Science, ScienceDirect, Springer Link, IEEE, and TRID) and identifies 1,620 peer-reviewed documents from 2000 to 2020; these 1,620 documents underwent bibliographic analysis and co-occurrence network analysis. The co-occurrence coupling relationship is analyzed from the aspects of time, country, publication, author and keywords. Second, 37 papers published were screened, and the driving distraction recognition methods proposed by these 37 papers were summarized and analyzed. Results: The results show that this field has been prevalent since 2013; countries such as the United States, Britain, Germany, Australia, China, and Canada are in the forefront of research in this field, and the cooperation between related countries is relatively close. The cooperation between authors is characterized by aggregation, and the mobile phone as the main keyword is almost connected to other keyword nodes; the recognition model of deep learning algorithm based on video surveillance data sources has become the mainstream hot spot distraction recognition method. The recognition model of machine learning algorithm based on vehicle dynamics data, driver physiology, and eye movement data sources has specific advantages and disadvantages. Practical Applications: The results can help people to understand the current situation of driving distraction comprehensively and systematically, provide better theoretical support for researchers to choose the subsequent driving distraction recognition model, and provide research direction for driving distraction recognition in the future. [ABSTRACT FROM AUTHOR]

Chandrayaan-1 and Chandrayaan-2, the Indian Mars Orbiter Mission (MOM), and a multi-wavelength astronomical observatory (AstroSat) are the missions launched by the Indian Space Research Organisation (ISRO) under the broader category of space science and exploration. The results generated from the periodically released data from these missions, are published in the form of journal articles, conference papers, The Astronomer's Telegrams, GRB Coordinates Network circulars, etc. The goal of this study is a bibliometric analysis of 592 journal articles on ISRO's four space science and exploration missions which were published between 2002 and 2021 (20 years). The Web of Science Core collection database and Google Scholar are used to retrieve the data needed for the study. Bibliometric indicators like mission-wise distribution of articles; year-wise distribution of articles, relative growth rate and doubling time of publications; prolific authors; leading institutions; international collaboration; highly ranked journals; highly cited articles and keyword occurrences were considered for analysis. The doubling time of publications of those missions which yielded the highest number of articles were separately calculated using an exponential equation and built in algorithms in Python. Advanced data visualization tool such as VosViewer was used for generating the network maps. The bibliometric analysis revealed the usage of mission output data not only by ISRO scientists but also by academia, research labs, etc. Overall, the study can be considered as a comprehensive reference source for information on research trends related to the four Indian space science and exploration missions. [ABSTRACT FROM AUTHOR]

In modern times, any disturbances caused by natural or artificial factors to technological systems must be identified and eliminated promptly. Space weather has been acknowledged for more than ten years as a key cause of breakdowns in numerous ground- and space-based technology systems that are essential to human life. Thus, this article about research interest trends related to space weather events (SWEs), from all around the world was analyzed through bibliometric analysis using Scopus publications from 1994 until 2022. Initially, 2779 journal articles on SWE were collected over the course of 28 years, but only 1713 were retained when review articles were omitted. The study also presents the trends of co-authorships in correspondence to countries/academic institutions and co-occurrences of author keywords. Since 2005, the number of publications regarding SWE has steadily increased, resulting in a substantial library of publications until 2022. The three top-ranked nations that produced the most papers with the highest levels of international collaboration and networking are the United States, the United Kingdom, and China. [ABSTRACT FROM AUTHOR]

• Systematic bibliometric analysis of PIML in PHM. • Novel perspectives for PIML from the "Informed knowledge forms" and "Informed methods". • Taxonomy of PIML approaches in PHM. • Highlight remaining challenges and future perspectives based on this review. Prognostics and health management (PHM) plays a constructive role in the equipment's entire life health service. It has long benefited from intensive research into physics modeling and machine learning methods. However, in practice, the existing solutions often encounter difficulties caused by sparse data & incomplete system failure knowledge. Pure machine learning or physics-based methods can sometimes be infeasible in such situations. As a result, there has been a growing interest in developing physics-informed machine learning (PIML) models which allow incorporating different forms of physics knowledge at different positions of the machine learning pipeline. This combination provides significant assistance for detection, diagnostic, and prognostics. However, to the best of our knowledge, the bibliometrics analyses and the comprehensive review of the existing research concerning PIML in PHM remain vacant. Our review is therefore dedicated to filling these gaps. We synthesize the concept of PIML in PHM, and propose a taxonomy of PIML approaches from the perspective of "Expression forms of informed knowledge" and "Knowledge informed methods". The findings and discussions presented in this paper enable us to clarify the current state of the art and the emerging opportunities of PIML approaches, especially for building PHM systems that can work under the "small data and scarce physics knowledge" paradigm. [ABSTRACT FROM AUTHOR]

As part of smart city strategies and to improve their performance, researchers suggest various approaches such as industry 4.0 to help cities manage the constraints and problems they face, especially in public spaces. This paper addresses this research topic through a bibliometric approach based on quantitative analysis methods can be a new and more optimal approach, that have been applied to study the synergy between smart cities and industry 4.0. The Smart City 4.0 concept states that the value of a city is determined by its size, connectedness, and entrepreneurialism, while the construction of Smart Cities 4.0 is in its infancy, and there are currently no empirical analyses, it can be deduced and concluded from network theory that a Smart City will evolve into the 4.0 version if its internal connectivity is strengthened, and open platforms with entrepreneurship based on diversity are built. This research show that the topic is almost totally new and innovative and has not been widely addressed by researchers worldwide, but this paper shows the relevance of the topic and the directions it can take to address heuristics and important issues. [ABSTRACT FROM AUTHOR]

Hexavalent chromium (Cr(VI)) contamination of groundwater has traditionally been an environmental issue of great concern due to its bioaccumulative and highly toxic nature. This paper presents a review and bibliometric analysis of the literature on the interest area "Cr(VI) in groundwater" published in the Web of Science Core Collection from 1999 to 2022. First, information on 203 actual Cr(VI)-contaminated groundwater sites around the world was summarized, and the basic characteristics of the sources and concentrations of contamination were derived. 68.95% of the sites were due to human causes and 56.43% of these sites had Cr(VI) concentrations in the range of 0–10 mg/L. At groundwater sites with high Cr(VI) contamination due to natural causes, 75.00% of the sites had Cr(VI) concentrations less than 0.2 mg/L. A total of 936 papers on "Cr(VI) in groundwater" were retrieved for bibliometric analysis: interest in research on Cr(VI) in groundwater has grown rapidly in recent years; 59.4% of the papers were published in the field of environmental sciences. A systematic review of the progress of studies on the Cr(VI) removal/remediation based on reduction, adsorption and biological processes is presented. Out of 666 papers on Cr(VI) removal/remediation, 512, 274, and 75 papers dealt with the topics of reduction, adsorption, and bioremediation, respectively. In addition, several studies have demonstrated the potential applicability of natural attenuation in the remediation of Cr(VI)-contaminated groundwater. This paper will help researchers to understand and investigate methodological strategies to remove Cr(VI) from groundwater in a more targeted and effective manner. [Display omitted] • 56.4% of human-contaminated groundwater with Cr(VI) concentrations below 10 mg/L. • 75.0% of nature-contaminated groundwater with Cr(VI) concentrations below 0.2 mg/L. • Reduction and zero-valent iron were the most frequently used keywords. • Reduction (76.8%) is the main method for Cr(VI) removal or remediation. • 260 out of 666 Cr(VI) removal papers in groundwater involve zero-valent iron. [ABSTRACT FROM AUTHOR]

Freshwater resources are scarce globally, and the increase in carbon dioxide (CO 2) concentration leads to both a decrease in soil moisture and arid climate, further limiting agricultural production. Therefore, it is critical to achieve water efficiency in agriculture under elevated CO 2 concentration. A comprehensive analysis was conducted on the research topic of efficient agricultural water under elevated CO 2 concentration using bibliometric methods. The results show that the number of papers on this research has changed from an accumulation phase (1992–2005, 395) to a growth phase (2006–2023, 963). "Carbon dioxide", "water-stress", "growth", "photosynthesis", "yield", and other keywords have been the focus of past research in this area. Kimball BA and Ainsworth EA are the most influential authors in this area. Leakey's (2009) paper in "Experimental Botany" was the most contributing study, summarizing six lessons about the effects of CO 2 enrichment on the relationship among carbon, nitrogen, and water in plants. The United States and China were the most influential countries. Over time, research has shifted from an early focus on atmospheric CO 2 change itself to the response of crops to elevated CO 2 in agricultural production. The efficient crop production strategy under the interaction of environmental factors is becoming a hot spot for future research, and the emission and use of greenhouse gases, the improvement of crop quality, and the efficient guidance of models are also worth exploring. Overall, this study presents a quantitative analysis and comprehensive review of past research conducted on the effect of water and fertilizer on agricultural production under CO 2 enrichment. It also offers suggestions and expectations for future research on the hot spot direction of efficient crop production under climate change. • The continuous research attention is closely related to climate change caused by CO 2 enrichment. • The main research fields included CO 2 enrichment, water stress, crop growth and photosynthesis. • The co-citation analysis reveals broad research clusters in the literature. • The new research focus will be interactive climatic factors, greenhouse gas recycling, and modeling. [ABSTRACT FROM AUTHOR]

Mindful consumption (MC) has ancient roots, but the scholarship has recently received industry and academic attention. This research examines MC through a hybrid systematic review, including a bibliometric analysis of 41 years with 368 papers from 196 journals and a TCCM analysis to add further depth. Results indicate that the field is still evolving and has been approached by multiple disciplines and methodologies. Further, bibliographic coupling analysis presents six emerging themes in MC research, such as MC conceptualization, responsible consumption, and responsible practices by firms. Finally, the paper proposes future avenues for research for the resultant clusters. [ABSTRACT FROM AUTHOR]

This paper describes the role of Design Thinking (DT) in the context of sustainable development (SD), based on a perceived research need to identify the features which may characterise its deployment, and identify ways via which it may be optimised, especially in the implementation of the United Nations Sustainable Development Goals (UN SDGs). The main goal of this study is to examine the connection between DT and SD and showcase examples of what has been done to deploy it, using real-case situations. From a methodological perspective, the paper deploys a set of two methods: bibliometric analysis and case studies. Among other findings, the paper shows that DT can be used to help implement the UN SDGs by providing an approach that emphasizes human-centered design. This includes identifying problems, creating user-friendly solutions, and testing them in order to ensure that they are effective. Also, by using DT, companies, organisations, and governments can create low-cost, high-impact, and sustainable solutions to help achieve SDGs such as SDG8, SDG9, SDG12, and SDG13, among others. Overall, DT provides a framework for combining creative and analytical reasoning, specific mindsets, and diverse hands-on tools and techniques to improve critical thinking abilities towards sustainability challenges. The novelty of the paper relies on the fact that the combined use of the two methods allowed the identification of some useful features of DT, which may facilitate its deployment in sustainability contexts. This may assist future studies since it provides a theoretical basis for the field. • Research gaps in DT prevent its widespread use in SD. • The paper deploys bibliometric analysis and case studies. • DT within a circular economy is an emerging approach. • DT may foster sustainability practices. • A novelty is the identification of pathways to optimise DT in SD. [ABSTRACT FROM AUTHOR]

During passive solar design of greenhouses, engineers usually encounter issues such as building form parameter selection. Suitable parameters can help to reduce energy losses related to interior temperature control and relatively intensive crop production. However, by using bibliometric analyses, no existing review works provide concise parameter selection lists. To fill in this gap, this paper compares and evaluates various passive technologies for greenhouse design in five areas: (1) orientation, (2) building structures, (3) envelope materials, (4) heat storage options, and (5) numerical modeling. First, the orientation of a passive solar greenhouse significantly influences its performance. Second, greenhouses exhibit various architectural shapes, including single- and multispan, with transparent and opaque envelopes. Third, greenhouses usually include envelopes constructed from transparent materials, opaque materials, and movable insulation materials. Fourth, most passive greenhouses provide daily energy storage systems equipped with storage media, including water, soil, rock, brick, and phase change material (PCM). Finally, this paper reviews numerical modeling and performance evaluations for passive greenhouses. [ABSTRACT FROM AUTHOR]

With the increasing number of connected objects in the world, security is essential for various Internet of Things (IoT) objects to protect sensitive data and infrastructure. As these objects have very limited resources, traditional security mechanisms are not suitable for IoT objects. The issue of security has become crucial for IoT to mitigate the security risks for organizations as well as for end users. This paper presents a bibliometric study to get structural overview of the work done using the keywords solution AND hacking AND IoT AND network AND services. We use Dimensions database as a data source, VOSviewer and bibliometric methods to visually analyze 10751 papers published in the research area of IoT hacking in network services from 2012 through 2022. We provide co-author maps, keyword co-citations, citations, bibliographic links, or co-citations based on the bibliographic data and keyword analysis. [ABSTRACT FROM AUTHOR]

Publication metrics are derived for the fields of silicone hydrogel (SH) and daily disposable (DD) contact lenses. A search of the Scopus database for papers in the fields of SH and DD contact lenses found 979 SH and 291 DD papers. Subject-specific h-indices for SH lenses (h SH -index) and DD lenses (h DD -index) were derived, in relation to five categories – authors, institutions, countries and journals – to serve as measures of impact. A short list of the most impactful entities was generated for each of the above five categories in the SH and DD fields. A paper entitled "Soft contact lens polymers: An evolution" by Nicholson and Vogt was the most highly cited article (495 citations) in both SH and DD fields. The most impactful entities for the SH and DD fields were: authors – Lyndon Jones (h SH = 33) and Philip Morgan (h DD = 15); institutions – the University of Waterloo (h SH = 37) and the University of New South Wales (h DD = 15); countries – the United States (h SH = 45) and the United Kingdom (h DD = 24); and journals – Optometry and Vision Science (h SH = 33) and Contact Lens and Anterior Eye (h DD = 17). Overall, the SH field (h SH = 64) is far more impactful than the DD field (h DD = 34). Impactful papers, authors, institutions, countries and journals in the SH and DD fields are identified. Optometry is revealed as the leading profession in relation to SH and DD publications. [ABSTRACT FROM AUTHOR]

This research aims to contribute to the development of knowledge in project management, by searching for management approaches that can be useful in construction projects. A bibliometric approach based on quantitative analysis methods was applied to investigate the synergy between Traditional, Agile, and Lean management approaches. This study also evaluates the status of the three different approaches using a visualization analysis of journal articles. The bibliometric study was developed with a portfolio of 200 papers around "synergy between Traditional, Agile and Lean approaches" collected at the Web of Science database, covering the evolution of this topic over the last ten years (from 2011 to 2020). The retrieved records were analyzed in terms of year of publication, country, subject, and keywords. The analysis of the original articles revealed that the total number of publications has continuously increased over the last few years. The country producing more papers on this theme was the United States followed by England and Germany. Few studies in the literature have discussed this theme in the construction industry, which means that the concept of combining Traditional, Agile, and Lean approaches is a new concept in construction projects. [ABSTRACT FROM AUTHOR]

Natural capital accounting plays a pivotal role in the sustainable management and conservation of natural resources. This paper aims to contribute to this field by conducting a bibliometric review of 1409 articles and employing explainable artificial intelligence modeling (XAI) to identify and predict the factors that influence the impact of natural capital accounting (NCA) research, especially in terms of citations to this research. The findings revealed that the Journal of Cleaner Production is the leading publication in this field, with the highest h-index of 37. The XAI found that age of publication and number of references significantly impacted the likelihood of a paper receiving many citations. This study offers an innovative and practical framework for forecasting citation counts and provides effective strategies for authors and editors to enhance the citation impact of their work. [ABSTRACT FROM AUTHOR]

• Study analyzes 1374 papers on sensitivity analysis in Scopus. • RStudio, CiteSpace, and VOSviewer are used. • China has most articles published; India leads in international cooperation. • Top three cited journals: J. Clean. Prod., Expert Syst. Appl., and Comput. Ind. Eng. • Most cited authors are Pamučar D, Kahraman C, and Zavadskas EK. In the present era, the implementation of scientifically grounded Multi-Criteria Decision Making (MCDM) has emerged as a pivotal solution to diverse decision-making challenges across various domains. Although a substantial body of exploratory, conceptual, and experimental studies exists, only 9.457% studies have incorporated sensitivity analyses to assess the robustness of MCDM methods. An exhaustive scientific exploration of sensitivity analysis within the scope of MCDM is thus lacking. This research aims to address this gap through Bibliometric Analysis while examining 1374 articles published between January 2000 and March 2023 from the Scopus database. Using RStudio (Biblioshiny), CiteSpace, and VOSviewer software, the study constructs a visual representation of the most prolific countries, institutions, and authors. Impressively, China takes the lead in article publications, while India excels in international collaboration. "An extended TODIM multi-criteria group decision-making method for green supplier selection in an interval type-2 fuzzy environment," featured in the Journal of Environmental Management, emerges as the most cited paper with a total citation of 455. The study also identifies the top three most cited journals, namely "Journal of Cleaner Production," "Expert Systems With Applications," and "Computers and Industrial Engineering." "North China Electric Power University" is the leading institute with the highest research outputs. "Pamučar D" is the most cited author, with 2594 citations and 39 articles, followed by "Kahraman C" and "Zavadskas EK. This study sheds light on trends in scientific developments and collaborations, providing a model for the application of sensitivity analysis in MCDM research and highlighting global trends. An understanding of the current state of sensitivity analysis research can assist researchers working in the entire domain of MCDM. Additionally, the visualization provides prescriptive data for future work and applications related to sensitivity analysis. [ABSTRACT FROM AUTHOR]

• A systematic literature review of immersive technologies (ImTs) for occupational safety and health (OSH) in construction is conducted. • OSH areas, hazards and conditions that are addressed by ImTs are provided. • Challenges and future research associated with the use of ImTs for OSH are provided. Introduction : The construction industry employs about 7% of global manpower and contributes about 6% to the global economy. However, statistics have depicted that the construction industry contributes significantly to workplace fatalities and injuries despite multiple interventions (including technological applications) implemented by governments and construction companies. Recently, immersive technologies as part of a suite of industry 4.0 technologies, have also strongly emerged as a viable pathway to help address poor construction occupational safety and health (OSH) performance. Method: With the aim of gaining a broad view of different construction OSH issues addressed using immersive technologies, a review on the application of immersive technologies for construction OSH management is conducted using the preferred reporting items for systematic reviews and meta-analysis (PRISMA) approach and bibliometric analysis of literature. This resulted in the evaluation of 117 relevant papers collected from three online databases (Scopus, Web of Science, and Engineering Village). Results : The review revealed that literature have focused on the application of various immersive technologies for hazard identification and visualization, safety training, design for safety, risk perception, and assessment in various construction works. The review identified several limitations regarding the use of immersive technologies, which include the low level of adoption of the developed immersive technologies for OSH management by the construction industry, very limited research on the application of immersive technologies for health hazards, and limited focus on the comparison of the effectiveness of various immersive technologies for construction OSH management. Conclusions and Practical Applications: For future research, it is recommended to identify possible reasons for the low transition level from research to industry practice and proffer solutions to the identified issues. Another recommendation is the study of the effectiveness of the use of immersive technologies for addressing health hazards in comparison to the conventional methods. [ABSTRACT FROM AUTHOR]

The literature on gender diversity in boards of directors has expanded significantly in recent years, due to the fact that women are increasingly holding higher management positions within the company hierarchy, clearly demonstrating that certain characteristics of women have a positive impact on different areas within the company. The objective of this paper is to analyze scientific articles on the presence of women in boards of directors, based on a literature review, in order to learn about the evolution of this concept over time. The search conducted for this paper produced 300 documents from the Web of Science, with a final total result of 168 documents after passing the initial results through various filters. VOS viewer software was used to analyze the information, which enabled the creation of bibliometric citation, co-citation and co-word maps. The results reveal the most relevant authors and studies on this subject and identify the most current studies, the main topic of which deals with sustainability and corporate social responsibility, in addition to highlighting the characteristics of women that are of vital importance to boards of directors within the current context: empathy, open innovation, concern for the needs of interest groups and a heightened perception of risks. [ABSTRACT FROM AUTHOR]