Search

We apply bibliometric analysis to the review papers published in the finance domain, considering 264 review and qualitative studies. The approach applied in this study involves using review studies published in finance literature from 2000 to 2022, predominantly aiming at the pedigree of such papers and unfolding the renaissance experienced by such papers in recent years. We apply bibliometric analysis to know the most influential countries, authors, institutions, and journals publishing review papers. Results of the study identified four literature review clusters: The first cluster is related to 'corporate finance and financial markets', the second cluster combines the studies related to 'financial innovations and Fintech', the third cluster is related to 'social finance and financial inclusion', and finally, the fourth cluster combines the studies related to 'CSR and corporate governance'. We conclude that the bibliometric analysis and literature review papers are critical for identifying and highlighting the emerging problems in finance and motivating future academics to pursue further investigations and provide solutions. [ABSTRACT FROM AUTHOR]

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]

In recent years, the domain of renewable energy communities has experienced dynamic growth, spurred by European Union (EU) legislation that became law for all 27 Member States in June 2021. This legislative framework intensified research efforts aimed at discovering new methods for sustainable energy sources through the development of individual and collective energy communities. Each EU country has implemented distinct frameworks for renewable energy communities, leading to varied legislative approaches. This has spurred exponential investment, facilitating the deployment of photovoltaic and battery energy storage systems, offering significant economic and environmental benefits to community members. Against this backdrop, the purpose of this analysis is to investigate academic publications related to renewable energy communities. Using a dataset extracted from the ISI Web of Science database, this study employs a bibliometric approach to identify the main authors, affiliations, and journals and analyze collaboration networks, as well as discern key topics and the countries involved. The analysis reveals an annual growth rate of 42.82%. Through thematic maps, WordClouds, three-field plots, and a review of the top 10 globally cited documents, this study provides a comprehensive perspective on the evolving domain of renewable energy communities. [ABSTRACT FROM AUTHOR]

Natural language processing (NLP) plays a pivotal role in modern life by enabling computers to comprehend, analyze, and respond to human language meaningfully, thereby offering exciting new opportunities. As social media platforms experience a surge in global usage, the imperative to capture and better understand the messages disseminated within these networks becomes increasingly crucial. Moreover, the occurrence of adverse events, such as the emergence of a pandemic or conflicts in various parts of the world, heightens social media users' inclinations towards these platforms. In this context, this paper aims to explore the scientific literature dedicated to the utilization of NLP in social media research, with the goal of highlighting trends, keywords, and collaborative networks within the authorship that contribute to the proliferation of papers in this field. To achieve this objective, we extracted and analyzed 1852 papers from the ISI Web of Science database. An initial observation reveals a remarkable annual growth rate of 62.18%, underscoring the heightened interest of the academic community in this domain. This paper includes an n-gram analysis and a review of the most cited papers in the extracted database, offering a comprehensive bibliometric analysis. The insights gained from these efforts provide essential perspectives and contribute to identifying pertinent issues in social media analysis addressed through the application of NLP. [ABSTRACT FROM AUTHOR]

In recent years, the research community has increasingly embraced topics related to smart cities, recognizing their potential to enhance residents' quality of life and create sustainable, efficient urban environments through the integration of diverse systems and services. Concurrently, recommender systems have demonstrated continued improvement in accuracy, delivering more precise recommendations for items or content and aiding users in decision-making processes. This paper explores the utilization of recommender systems in the context of smart cities by analyzing a dataset comprised of papers indexed in the ISI Web of Science database. Through bibliometric analysis, key themes, trends, prominent authors and institutions, preferred journals, and collaboration networks among authors were extracted. The findings revealed an average annual scientific production growth of 25.85%. Additionally, an n-gram analysis across keywords, abstracts, titles, and keywords plus, along with a review of selected papers, enriched the analysis. The insights gained from these efforts offer valuable perspectives, contribute to identifying pertinent issues, and provide guidance on trends in this evolving field. The importance of recommender systems in the context of smart cities lies in their ability to enhance urban living by providing personalized and efficient recommendations, optimizing resource utilization, improving decision-making processes, and ultimately contributing to a more sustainable and intelligent urban environment. [ABSTRACT FROM AUTHOR]

A quantitative analysis of scientific articles published in the Journal of Agrometeorology (JAM) between 2008 and 2022 was conducted using SCOPUS database and a variety of scientometric indicators. Various metrics were utilized to examine aspects including yearly research output, highly referenced sources, author rankings, contributions and profiles, cooperation trends, highly contributing nations, most cited papers, commonly searched keywords and worldwide collaboration mapping. This study employs biblioshiny for analysis and only looks at data that is available in Scopus database. With an h-index (17), a g-index (21) and 3238 total citations across the study period, the journal demonstrated considerable influence. With the greatest number of research publications (n=46) and the greatest number of citations (236), Pandey V stands out among other authors. In terms of the number of papers and citations, India emerged as the leading nation, with the Punjab Agricultural University in the lead with 744 publications. Four clusters were found by co-citation network analysis, with Allen RG being the most quoted author among them. The study also highlighted the fact that Indian authors worked together the most. This analysis is important for assessing the influence of the JAM and offers insightful information about noteworthy research trends and developments in the scientific community. [ABSTRACT FROM AUTHOR]

The last few years have witnessed tremendous challenges in the management of operational risks faced by banks and the emergence of newer risks. The working models for bank staff are now different; additionally, there has been a massive increase in the digitization level. All these aspects make operational risk management in banks an attractive field of study. There is a need to perform systematic bibliometric analysis in this research area, providing the various trends and highlighting areas for further research analysis. This research paper has examined the various aspects of operational risk management in Banks by performing a thorough bibliometric analysis of 676 articles extracted from two data databases, i.e., Scopus and Web of Science, from 2010 until March 2023. These were analyzed using the tools Biblioshiny and VOSviewer. Various bibliometric techniques like analysis of trends, citations, contributing authors, keywords, and bibliographic coupling have been performed. This research paper has significant theoretical and practical implications which can assist future researchers. Operational risks are ever-dynamic, and five themes, i.e., climate risk, information security risks, geopolitical risks, third-party risks and compliance risks, have been identified in this research paper as key focus areas for conducting research in the future. The findings of this study and suggestions for future research will be useful to academicians, policymakers, and operational risk management professionals for identifying potential areas of collaboration in the future to strengthen the operational risk management framework. [ABSTRACT FROM AUTHOR]

This research aims to enlighten current and future research trends on political connections by providing complete bibliometric mapping through network studies on political connections. Utilizing Biblioshiny, the Bibliometrics R package, multi-perspective research publications on political connections from 2003 to the third quarter of 2023 were discovered and analyzed. This bibliometric analysis provides valuable insights regarding current and future publications on political connections. The most prolific contributors, the most used keywords, the most productive countries and sources, the most cited publications, and the most productive sources of information are network analysis data about co-occurrence networks. The discourse revolves around issue mapping data on political connection studies. The search method used to find related literature is the Scopus database. This research contributes valuable information to help other researchers map ongoing and future investigations into political connections. This bibliometric analysis of 294 documents is the first regarding political connections known to researchers. This evaluation emphasizes annual publication trends, authors, publications, countries, organizations, and most productive sources, determining potential future research objectives. The research on political connections was published in early 2003. No papers were released on this subject for 3 years after 2003 (2003–2005), which shows that the growth of this academic field slowed down for ten years. There were significant changes in 2011, and many more linked papers have been released. Authors from the USA and China significantly contributed to the initial scientific journal papers on their political connections. Hong Kong, China, and Australia are recognized as leading nations in scholarly contributions to studying political connections. Chinese scholars spearheaded the collaborative publication effort focused on political connections, with the USA and Australian experts following suit. Based on indexed terms, political connections, sustainable development, and financial performance are trending keywords. These results show possible directions for further research into political connections. [ABSTRACT FROM AUTHOR]

Copyright of Acta Scientiarum Polonorum. Formatio Circumiectus is the property of Wydawnictwo Uniwersytetu Rolniczego im. Hugona Kollataja w Krakowie and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The article uses R Studio Bibliometrix, VOSviewer, and Connected Papers to structure the scientific work of scientists on the development of educational systems during socio-economic, political, migration, pandemic, and climate crises in the 2020s. The research is based on more than 970 publications (articles, conference abstracts, monographs, and their sections) indexed by Scopus in 2020--2024, selected by keywords: "educational crisis," "education policy response," "education disruption," and "learning loss." The publication activity grew at an annual rate of 16.45%, peaking in 2023, while the peak of public interest (determined by Google Trends) was in 2022. The study consists of seven parts: the first examines shifts and patterns in the fields of educational crisis; the second analyzes influential publications; the third identifies key research institutions; the fourth explores various counties; the fifth highlights prominent researchers in these fields; the sixth delves into key areas of study; and the seventh uncovers core themes and insights in the research. The study identifies a number of important areas of concentration for the study of educational crises from a thematic perspective. These include education disruption and learning loss, and the broader impact of these issues on inclusive growth and sustainable development. Among all the crises that took place in the world in 2020--2024, COVID-19 and the full-scale war in Ukraine had the greatest impact on the transformation of education systems. China and the United States dominate the world in terms of publication activity and citation of articles by scientists from these countries (their point of view actually determines the emphasis with which the scientific world speaks about challenges in education), while scientists from Australia, India, and the United Kingdom have significantly increased their research activity in this area over the study period. The findings of this study are aimed at understanding the causes and consequences of educational crises and formulating recovery plans to mitigate global risks. [ABSTRACT FROM AUTHOR]

Scars are fibrous tissues that replace normal tissue during the wound healing process. Scarring can lead to low self‐esteem, social impairment, depression, anxiety, and other psychiatric and psychological distress, necessitating a comprehensive understanding of the latest perspectives, topical research, and directions in scarring‐mental health. This is a biblioshiny and VOSviewer based bibliometric analysis study. All data were obtained from the Web of Science, and a total of 664 articles from 2003 to 2022 met the criteria. The last 7 years have been a period of rapid growth in the field, with 2022 having the highest number of articles. The United States is the core country with the highest production and citation rate. The most cited literature was written in 2003 by Van Loey NE et al. Van Loey NE is the most prolific and influential author in this field. The top five popular keywords include "quality of life", "depression", "management", "anxiety", and "prevalence". The paper concludes that the current focus of scholars in the field is on the treatment of scars and that multidisciplinary treatment of such patients is worth exploring. These findings provide relevant researchers with the current state of research and possible future directions in this field. [ABSTRACT FROM AUTHOR]

Predictive analytics has gained significant attention in business as organizations seek to leverage data-driven insights for informed decision-making. The study uses rigorous bibliometric analysis to map the landscape of predictive analytics in business, revealing its evolution, trends, and research tendencies. A sizeable selection of academic publications from the Scopus database is chosen to identify key themes, notable authors, well-known journals, and emerging research areas in predictive analytics. The study extracts and analyses bibliographic data, including publication trends, citation patterns, and co-authorship networks, using cutting-edge tools like CiteSpace, VOSviewer, and Biblioshiny. The findings of this study provide important information regarding how predictive analytics are now being employed in the business sector. The most significant research findings, innovative breakthroughs, and major research clusters are highlighted, exposing the leading research paths and areas of interest. Additionally, emerging trends, cross-disciplinary collaborations, and potential research needs are identified in the study. The intellectual landscape of predictive analytics in business is mapped in this study to offer a comprehensive picture of the corpus of knowledge. This information will help scholars, practitioners, and policymakers navigate and contribute to this fast-developing area. The insights gained from this bibliometric analysis can guide future research endeavors, inform strategic decision-making, and foster stakeholder collaboration in leveraging predictive analytics for business success. [ABSTRACT FROM AUTHOR]

The aim of this paper is to enhance the comprehension of the worldwide landscape of scientific publications centred on healthcare management within the framework of sustainable development to discern potential opportunities for undertaking more influential and substantial future research within the examined domain. This study employs scientific articles published within the scientific journals indexed in the Scopus database. Relevant documents were sought by utilising the keywords 'sustainab*, ‘healthcare’, and ‘management’ in the titles of articles. A total of 740 articles published from 2000 to 2023 (up to August 8) were selected for analysis. The study employed various bibliometric methods to analyse and visually represent the collected data. Biblioshiny, VOSviewer 1.6.16 software toolkits, and Scopus analytical tools were utilised for the bibliometric analysis. The acquired outcomes were integrated, and potential avenues for future research were discussed. The bibliometric analysis disclosed a noticeable upward trend in research concerning healthcare management in the context of sustainable development. The theoretical implications of this paper encompass a more profound comprehension of patterns and developments in the scientific literature. The practical implications extend to guiding the execution of bibliometric analyses and offering insights for prospective research endeavours. It is important to note that the conclusions drawn from this study are confined to data derived from the Scopus database. Future studies should consider incorporating a broader range of data sources for a more comprehensive analysis. [ABSTRACT FROM AUTHOR]

This study explores current research trends in environmental studies, emphasizing the importance of addressing climate change through effective strategies and highlighting the crucial role of circular economy principles and resource management in achieving sustainability goals. It aims to investigate emerging patterns and analyze the altmetric impact of published research in the field of environment and pollution. Environmental Science and Pollution Research (ESPR), a research journal published by Springer since January 1994, serves as a cornerstone for scholarly discourse in this field. The first volume of ESPR was released in January 1994, and since then, all of the information has been indexed by significant databases like OCLC WorldCat Discovery Service, SCOPUS, and DIMENSIONS, amongst others. ESPR is one of the leading journals with a five-year impact factor of 5.4 and 1.01 SJR Q1 quartile as of 2023, with an h-index of 179. The journal has published influential articles that garnered high altmetric scores, indicating online attention and engagement, although there is a notable disparity between altmetric scores and total citations. Most of the highly cited articles cover various topics, including eutrophication, electrochemical advanced oxidation processes, insecticides, and phytoremediation. Most publications fall under environmental sciences, followed by pollution and contamination. Chinese institutions have substantially contributed to the journal, indicating a strong emphasis on environmental and pollution research in China. Our findings reveal significant growth in publication output and citation rates, alongside a notable disparity between traditional citation metrics and altmetrics, underscoring the need for comprehensive impact assessment methodologies. [ABSTRACT FROM AUTHOR]

This paper presents a comprehensive bibliometric analysis of Multi-Attributive Border Approximation Area Comparison (MABAC) method using the Biblioshiny application of the bibliometrix package, R program and VOSviewer tools to provide a holistic view of the research landscape by identifying its evolution, major contributors and most influential research areas. The study, analyzing 264 articles from the Scopus database (January 2015 to September 2023), reveals China as the leading contributor, with India spearheading international collaboration. The most impactful publication, "The selection of transport and handling resources in logistics centres using MABAC," by Pamučar and Ćirović [2], boasts 537 citations. Notably, the "University of Defence in Belgrade" is a prominent institution in this domain. "Pamučar D" emerges as the most cited author. Key terms include "MABAC," "MABAC method," and "MCDM," commonly associated with MABAC method. The top three cited journals are "Expert Systems with Applications," "Decision Making: Applications in Management And Engineering," and "Symmetry." The study provides valuable insights for researchers, practitioners, and decisionmakers interested in MABAC's applications and future developments in MCDM, contributing to ongoing discussions about its relevance. [ABSTRACT FROM AUTHOR]

The study conducts a comprehensive retrospective analysis of the social media marketing literature along with text mining and bibliometric analysis using data obtained from the Scopus database. The analysis is conducted for the literature published during 2007–2022 using VOSviewer application and Biblioshiny. The analysis revealed the publication trend and emerging themes in the research landscape of social media marketing. This study has pointed towards important theoretical and practical implications pertaining to the social media marketing. It contributes to the understanding of social media marketing research by identifying and listing the best journal, authors, country, documents, most occurred words, social and intellectual structure, and emerging research trends. The results revealed that social media marketing research is at the focal point of the researchers throughout the word. This study found that there are lack of studies from firm perspective especially small retailers; adoption of disruptive technologies such as AI, ML and block chain and its impact need more exploration. [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]

Copyright of Revista de Arquitectura (1657-0308) is the property of Universidad Catolica de Columbia, Facultad de Arquitectura and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The concept of sustainable business, which emerges as one of the consequences of environmental degradation, is currently a significant focus for many entities. Having the ability to incorporate business costs with environmental sustainability within an accounting system becomes a distinct advantage for companies. The term for this concept is referred to as "green accounting". This article aims to explore and map research related to Green Accounting using bibliometric methods, covering the observation period from 1976 to 2023. Data were sourced from the Scopus database using keywords "green accounting" and "environment* accounting". The Scopus search yielded a total of 421 articles or documents discussing Green Accounting. The employed method was bibliometric analysis, utilizing R-Studio Biblioshiny and Vos Viewer software. The results of this mapping indicate a progressive increase in publication volume over time, particularly within the last two decades. The majority of publication sources stem from the Social and Environmental Accountability Journal and are predominantly authored by individuals from the United Kingdom and the United States. The primary trending topics in green accounting research revolve around the central theme of environmental accounting, which is presently undergoing evolution and generating several other new topics. [ABSTRACT FROM AUTHOR]

This bibliometric study explores the cryptocurrency accounting (CA) literature and the connections between authors, institutions, and countries where cryptocurrency activity involves transactions that must be legally recognized in accounting, ensure accuracy and reliability for auditing, and adhere to tax compliance. The design involves the selection of data from Web of Science Core Collection (WoS) and Scopus, published between 2007 and 2023. The technique helps identify influential publications, collaboration networks, thematic clusters, and trends in research on CA using tools VOSviewer, Biblioshiny, and MS Excel. The originality of the study lies in its dual role as a support for accounting professionals and academics to develop innovative solutions for the challenges posed by crypto technology across core accounting areas: financial and managerial accounting, taxation, and auditing. The findings offer insights into the themes mentioned, and even if the collaboration between the authors is not very developed, the innovation and public recognition of the subject could raise researchers' interest. The limitation of the dataset is that it does not cover all relevant publications in a different period from the one in which the data were retrieved, 9–11 May 2024. This review might need periodic updates because the CA landscape is constantly changing. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this study is to consolidate the existing literature on small retail and develop a conceptual framework using thematic analysis. Design/methodology/approach: The relevant set of 224 articles has been obtained from the Scopus database by applying the PRISMA framework. Bibliometric analysis has been performed using Biblioshiny in Bibliometrix and VOSviewer. Findings: Four major themes have been identified within the conceptual structure of the small retail domain, and a conceptual framework has been developed using the interlinkages within the themes. The intellectual structure of the domain has been explored using citation analysis, co-citation analysis and bibliographic coupling. Future research directions are also identified and documented based on the thematic analysis and overall consolidation of the literature. Originality/value: This is perhaps one of the first attempts to consolidate the published literature on small retail using bibliometric analysis. [ABSTRACT FROM AUTHOR]

Carbon sequestration in forests has increasingly captured the attention of scientists as a strategy for climate change mitigation and environmental sustainability. In this era of huge carbon emissions, being a low-carbon and cost-effective technology, the economic analysis of forest carbon sequestration holds higher importance for the successful implementation and intended outcomes. This study elucidates a scientometric view of the research structure and thematic evolution of economic studies on forest carbon sequestration based on 1439 articles over the time slice of 2001–2021. The bibliographic data have been retrieved from the Dimensions database, which accommodates a large coverage of research publications and also provides easy access to essential scholarly data and information. Vosviewer and Biblioshiny software tools have opted for visualisation and evaluation purposes of bibliometric data. This study employs various measures of bibliometric analysis like co-authorship, bibliographic coupling, citation and keyword analysis to find out the principal articles, authors, journals, most frequent keywords and highest publishing countries and institutions in this field, and the results show that the number of publications has escalated substantially in the last five years, the most cited article and most productive author are Popp A, 2017 (305 citations) and André P C Faaij (11 documents), respectively, Bradford's law calculates 21 core journals out of total 503 journals, among which Forest Policy and Economics is at the top, and the most productive country and institution are the USA and University of Florida, respectively. The study also investigates key publishing subject categories, and the number of publications covered under each of the Sustainable Development Goals. The overall outcome of this bibliometric study confers an in-depth understanding of the various dimensions of economic analysis on forest carbon sequestration and its development pattern in the last 21 years and also provides emerging themes for future reference. [ABSTRACT FROM AUTHOR]

In this study, the studies conducted in the field of ‘‘Green Supply Chains’’ (GSC) between 2010 and 2022 in the Web of Science database were analyzed using the bibliometric method. For this purpose, 1.544 article types of 13 years between the mentioned years were obtained in the ‘‘Web of Science’’ database. The obtained data were analyzed with the R-Studio ‘‘biblioshiny’’ program. In addition, the VOSviewer program was used to visualize the data. With the bibliometric analysis method, the countries with the most publications, the most cited authors, the most cited publications, and the authors with the most publications are shown. In addition to these, the most published journals, the keywords used in the publications, the publication rate by country, the citations received by years and finally the publications made according to the years were examined. As a result of the analysis, it has been understood that the popular and respected position of the ‘‘Green Supply Chains’’ themed studies scanned in the ‘‘Web of Science’’ database has increased more. In addition, it has been determined that the annual number of publications has been increasing in the aforementioned theme, and it has been seen that the authors from different parts of the world have started to publish on a wider range of topics with the joint participation of authors. [ABSTRACT FROM AUTHOR]