Search

The purpose of this paper is to retrieve and study the highly cited papers as well as the correlation between the citation frequency and the download frequency of the 20 traditional Chinese medicine journals in China, in order to provide the guidance for improving the influence and academic quality of these journals. Bibliometric analyses were conducted on 1103 papers of 20 traditional Chinese medicine journals from 2011 to 2020 by retrieving for the China Academic Journal Network Publishing Database (CAJD) in China National Knowledge Infrastructure (CNKI). SPSS 17.0 software was used to analyze the correlation between the citation frequency and the download frequency via conducting regression fitting and establishing the mathematical models. The results showed that the total citations of the 1103 papers were 93051 times and the average citations were 84.36 times per paper. The total downloads of the 1103 papers were 2058442 times, and the average downloads were 1866.22 times per paper. China Journal of Chinese Materia Medica ranked first according to the number of papers, total citations and total downloads. The citations of Journal of Chinese Medicinal Materials ranked first based on the number of citations per paper. One of Li's paper had been cited the most (983 times). There were 629 (57.03%) papers whose first author was from universities. The scopes of the first authors were distributed in 29 regions and 2 special administrative regions (Macao, Hong Kong) in China. The authors from Beijing published 283 (25.66%) papers, ranking number one. The number of papers supported by funds was 882 (79.96%). The research results of correlation showed that the citation frequency and the download frequency of the highly cited papers had a highly positive correlation from both journal and paper level for whether the sample data of journals was normally distributed or nonnormally distributed. The correlation coefficients of the 20 journals at journal level and that at paper level were 0.9765 and 0.6677, respectively. The correlation was better at journal level than that at paper level, while the optimal regression fitting was all cubic polynomial. Among the 1103 papers, there were 684 (62.01%) research papers and 419 (37.99%) review papers. The main citation period of the top 15 papers was from the 2nd year to the 6th year after publication, accounting for 78.39%. Papers on clinical therapeutics research, papers on the pharmacological effects and its mechanism of traditional Chinese medicine, and papers on traditional Chinese medicine and natural medicine were the main source of the highly cited papers of the traditional Chinese medicine journals. Editors of the journals should focus on the above-mentioned research areas to select manuscripts for exploiting the excellent sources extensively, while paying attention to review papers, focusing on national major or key projects, paying attention to network spreading, stabilizing authors with quality services, in order to improve the influence and the academic quality of journals. [ABSTRACT FROM AUTHOR]

Continual development necessitates innovation. One must discover seeds of innovation and then concentrate resources on these seeds. To do so, one must recognize technology trends and then adopt and execute appropriate innovation strategies. This study used advanced change point detection method to investigate leading indicators that represent changes in technology trends. We examine patents, papers, and newspaper articles in Japan and US for 55 technologies. Results suggest that patents can be more appropriate as leading indicators than either papers or newspapers. This result can contribute to appropriate innovation strategies for planning and updating, and can provide tools that are useful to decision-makers. [ABSTRACT FROM AUTHOR]

Ecotourism potential is a fundamental research effort needed to promote sustainable regional tourism development, and scholars have paid greater attention to it in recent years, which has led to an increase in the publication of literature on this important and widely recognized topic. However, there is still no clear picture of the development direction of research on ecotourism potential. To address this issue, this study attempts to provide a comprehensive analysis of the existing research state in this field. This paper presents a more detailed review of ecotourism potential, a bibliometric analysis of 949 articles selected from 1,027 publications retrieved from the Web of Science Core Collection database, and a systematic descriptive and network analysis of the bibliometric data using the Biblioshiny tool. Here are some interesting findings: (1) research on the ecotourism potential in the academy started in 1992, with a rapid growth in the number of publications after 2013, with an overall interdisciplinary character and the emergence of a research community represented by Milcu, Balmford, Gallagher, and others; (2) ecotourism, conservation, tourism, management, and biodiversity are high-frequency keywords in this field, revealing the main research directions; (3) the development and evolution of research focus are mainly on three aspects: wildlife and biodiversity conservation, nature-based tourism and environmental values, and the modes and contributions of community participation. Future research should focus on the scientific references of ecotourism potential for promoting regional sustainable development. This paper sheds some light on the comprehensive bibliometric studies on ecotourism potential and improves our understanding of the evolution of this academic discourse theme over the last three decades. [ABSTRACT FROM AUTHOR]

Evolutionary studies of cultural complexity often assume that group members select the best information available in the group, effectively diffusing the best innovations, whose advantages are subsequently passed on to the next generation. This would seem to describe the ideal of the scientific process — each cohort of papers in a field surfacing the best innovations, refining them and passing on to the next "layer" or cohort of scientific works. Here, we use academic journal databases to explore this "forking" (branching) process in the evolution of a scientific paradigm. We apply citation network visualization and Latent Dirichlet allocation topic analysis to three different paradigms defined pragmatically as the set of papers citing a highly influential paper in each respective case. Our three case studies indicate a founder effect in how the seminal paper is highly-embedded in the citation network, and yet peripheral to the evolution of topics in subsequent "layers" of publications within the paradigm. This and additional evidence suggest certain topics are selected and followed, while others are left behind. From these case studies, we discuss how hitherto undeveloped ideas of the past might be located in the topic space of seminal works of the same fruitful time period. [ABSTRACT FROM AUTHOR]

The Sustainable Development Goals (SDGs) serve as a common aim that brings many nations together, led by the United Nations with the purpose to achieve a set of 17 targets by 2030. One very important factor in achieving these aims is finance. The advancement in financial development all around the world will be able to speed up achieving SDGs where governments, policymakers, and people will be able to grow the economic development and infrastructure of the country, provide adequate job opportunities for many people, reduce poverty, as well as improve sustainability around the world. In opposition to that, some researchers see the advancement in financial development as an activity that will jeopardize achieving SDGs as financial development might lead to the production of carbon footprints at a faster rate. Using bibliometric analysis, this paper was able to discover that there is an increase in attention and interest in the field with the rise in publications in recent years, especially in 2022. Furthermore, this paper also identifies research hotspots within the field while also finding and analyzing the most impactful authors and publications on the topic. Ultimately, this paper hopes to provide a better definition for the relationship between financial development and SDGs with the use of bibliometric analysis, where data is collected from the Scopus database and analyzed using VOSviewer. [ABSTRACT FROM AUTHOR]

Despite half a century's extensive scholarly research in the decision-making process of individuals around the adoption of new innovations, innovation practitioners are still not able to capitalise sufficiently on the existing knowledge base to successfully commercialise new products. Evidence of this stems from consumers' continued rejection of new offerings at alarming rates. This makes the marketing of innovation, with a focus on influencing consumers' decision-making process, one of the most challenging corporate challenges for new product managers. To address this gap, this paper sequentially applies a systematic literature review (SLR), followed by extensive descriptive and bibliometric analyses, to reveal and assess the current state of knowledge in this field. Furthermore, the analysis identifies six prominent future research paths that could fill identified gaps in knowledge. Using the results of the bibliometric section, practitioners can pinpoint specific research areas of interest, enabling them to access and utilise findings from past studies more effectively. [ABSTRACT FROM AUTHOR]

With the economic growth and prosperity, ports and shipping play an increasingly important role in the national economy and international trade. Numerous studies related to the field of port and shipping were conducted to propose some managerial insights. This paper uses the bibliometric method to analyze the research papers published from 2000 to 2019 on port and shipping in the field of management science. The number of published papers, impact score and cite score are identified as evaluation criteria to analyze the research contributions of researchers, affiliated institutions and countries/regions in the port and shipping field. At the same time, the importance of each keyword can be obtained by the bibliometric method, which may help new researchers grasp research hotspots and trends in related fields. [ABSTRACT FROM AUTHOR]

In this paper we present a phenomenological approach to describe a complex systemcolon; scientific research impact through Citation Mining. The novel concept of Citation Mining, a combination of citation bibliometrics and text mining, is used for the phenomenological description. Citation Mining starts with a group of core papers whose impact is to be examined, retrieves the papers that cite these core papers, and then analyzes the bibliometrics characteristics of the citing papers as well as their linguistic and thematic characteristics. The Science Citation Index is used as the source database for the core of citing papers, since its citation-based structure enables the capability to perform citation studies easily. This paper presents illustrative examples in photovoltaics (applied research) and sandpile dynamics (basic research) to show the types of output products possible. Bibliometric profiling is performed over a number of the citing papers' record fields to offer different perspectives on the citing (user) community. Text mining is performed on the aggregate citing papers, to identify aggregate citing community themes, and to identify extra-discipline and applications themes. The photovoltaics applied research papers had of the order of hundreds of citations in aggregate. All of the citing papers ranged from applied research to applications, and their main themes were fully aligned with those of the aggregate cited papers. This seems to be the typical case with applied research. The sandpile dynamics basic research papers had hundreds of citations in aggregate. Most of the citing papers were also basic research whose main themes were aligned with those of the cited paper. This is typically the case with basic research. However, about twenty percent of the citing papers were research or development in other disciplines, or development within the same discipline. In addition, there was a four year lag time between publication and citation by the... [ABSTRACT FROM AUTHOR]

Scientific and engineering research is heavily dependent on effective development and use of software artifacts. Many of these artifacts are produced by the scientists themselves, rather than by trained software engineers. To address the challenges in this area, a research community often referred to as "Development of Scientific Software" has emerged in the last few decades. As this research area has matured, there has been a sharp increase in the number of papers and results made available, and it has thus become important to summarize and provide an overview about those studies. Through a systematic mapping and bibliometrics study, we have reviewed 130 papers in this area. We present the results of our study in this paper. Also we have made the mapping data available on an online repository which is planned to be updated on a regular basis. The results of our study seem to suggest that many software engineering techniques and activities are being used in the development of scientific software. However, there is still a need for further exploration of the usefulness of specific software engineering techniques (e.g., regarding software maintenance, evolution, refactoring, re(v)-engineering, process and project management) in the scientific context. It is hoped that this article will help (new) researchers get an overview of the research space and help them to understand the trends in the area. [ABSTRACT FROM AUTHOR]

Scholars from Mainland China have published 8541 papers in 79 Operations Research and Management Science (OR/MS) journals available on the ISI Web of Science (WOS). Data from 2001 to 2013 constitute the basis of the bibliometric method used in this paper for statistical analysis of status of OR/MS research in Mainland China, from the perspectives of number of papers, quality of papers, most productive institutions, co-author analysis, citations analysis and research topic analysis, etc. The results show that although the number of OR/MS papers by Mainland China scholars grew exponentially during this period, the quality of papers needs to be further improved. Besides, the competition among the institutions in Mainland China is very fierce. Furthermore, the co-author analysis shows that the depth of cooperation has increased steadily and yet the breadth of cooperation has much room for development. Moreover, from the perspective of citations, only a small number of papers by Mainland China scholars have influenced the international OR/MS field. In addition, analysis of research topics shows that Mainland China scholars have been studying the OR/MS problems from a variety of perspectives. Additionally, we also visualize the relationship of the keywords to describe the status of development of the OR/MS discipline in Mainland China, and conclude that the connection nodes will have greater potential in the future. [ABSTRACT FROM AUTHOR]

This paper evaluates the distribution of papers published by Asian authors in Operations Research and Management Science (OR/MS) journals from 1968 to 2006. The impact of OR/MS research in Asia is compared with that of the United States and the World, and research trends are highlighted through an analysis of keywords. From 1968 to 2006, 89,293 papers were published in 60 OR/MS journals. Of these, 41.4% came from USA and 16.6% came from seven Asian countries/regions. The contribution of different countries/regions is as follows: Japan 3.7%, Taiwan 3.2%, India 2.3%, Hong Kong 2.2%, South Korea 2.1%, People's Republic of China (PRC) 1.9%, and Singapore 1.2%. Among all the articles analyzed, 20% have a single author, and 9% have more than three authors; additionally, 22 papers have been cited more than 100 times and 29% have never been cited. Most articles originating in Japan, Taiwan, India, South Korea, PRC, and Singapore are produced in collaboration with local scholars, followed by authors from the United States. Hong Kong is a notable exception, 73% of articles from Hong Kong are produced in cooperation with the PRC, followed by local scholars. The five most productive institutions are as follows: The Indian Institute of Technology, the Korea Advanced Institute of Science and Technology, the National University of Singapore, The Hong Kong Polytechnic University, and the National Chiao-Tung University (Taiwan). [ABSTRACT FROM AUTHOR]

Bibliometric rankings are quite common in the field of software engineering. For example, there are a series of ranking repeated every year which identify the top researchers and institutions at the international level in the field. There are also other studies to determine the most cited articles in software engineering journals, the most popular research topics in this area, or identify the top researchers and institutions in regional levels. However, there exists no existing bibliometric quantitative analysis of publications in the area of software engineering (SE), including relative and absolute growth in the number of all SE publications as well as an analysis among countries. This is the main goal and motivation of this article. Besides, this study intends to provide an overall quantitative trend of the software engineering papers, and compare that trend to research output in other areas of science. The bibliometric study reported in this paper is motivated by the fact that understanding the amount of geographical research contributions to the field of software engineering can help identify different countries' level of commitment to support research activities in this area over years. We analyze how the contribution levels of top-ranked countries have changed over the years and how SE compares to other disciplines of engineering and science. Among the most interesting findings of this study are: (1) Over 40 years, in total about 60% of the SE literature has been contributed by only 7% of all countries, (2) the SE research output of different countries does not necessarily correlate with their GDPs, (3) the share of contributions to the SE discipline by the American researchers has declined from 71.43% (in 1980) to 14.90% (in 2008), and (4) China is the country with the biggest share growth in the number of publications (from 0.82% of the entire SE publications in 1991 to 13.82% in 2009). [ABSTRACT FROM AUTHOR]

Since the International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems published its first issue in 1993, it has made important contributions to the research field of computer science. In this study, based on the dataset of the publications published in this journal between 1993 and 2016 retrieved from Web of Science, a general overview of this journal is performed using bibliometric methods and visualized networks. First, the productive and influential publications, authors, institutions, countries/territories, and supraregions are analysed based on the total number of citations, publications, and different citation thresholds. Second, network visualization analysis is applied to illustrate the links and connections between terms by using the VOSviewer software. Moreover, the most cited journals and common author keywords of three continents, including North America, Europe, and Asia, are also presented. This paper will hopefully help researchers understand the research patterns of this journal. [ABSTRACT FROM AUTHOR]

This paper uses bibliometric methods to review the research on makerspaces. The objective of the study was to document the growth and geographic distribution of makerspace literature, identify the main authors, documents. In addition to this, the study also combined two bibliometric analysis methods, co-citation analysis and co-word analysis to identify the intellectual structure of the makerspace knowledge base and the evolution of research themes over time. A total of 654 documents related to makerspaces between 2012 and 2020 were identified from the Scopus database. The review found that research base on makerspace is starting to grow from 2017 onwards with an accelerating growth rate, however, the published studies are mainly from USA and Europe. The paper also lists the most cited documents, the influential sources of publications and the main authors working on this area. The review also identified five research clusters using co-citation analysis that have emerged over time which are "innovation and development in makerspaces", "child development in makerspaces", "learning and STEM education in makerspaces", "implementation of makerspaces in education", and "university makerspaces". Another major finding highlighted "innovation, design, and creativity", "engineering curriculum", "skill development", "computer programming knowledge", and "learning, collaboration and community development" as the five main research themes using the co-word analysis. These findings provide a robust roadmap for further investigation in this research field. [ABSTRACT FROM AUTHOR]

National systems of innovation (NSI) have attracted substantial interest from public administrations, the scientific community and international organizations. Innovation is a key factor for countries to be competitive in the today's global economy. Entrepreneurship is an innovation source that has gained importance in NSI research over the last few decades. This focus on entrepreneurship in the context of NSI has led scholars to propose novel concepts such as entrepreneurial ecosystems and the national system of entrepreneurship (NSE). This paper uses bibliometric methods and the Web of Science Core Collection (WoS CC) database to explore how entrepreneurship fits into NSI research and to study the increasing importance of entrepreneurship within this research field. The NSI conceptual framework is developed according to the most common keywords, and the most influential NSI studies are identified using the total number of citations and the ratio number of citations per year. Two sets of studies are analyzed: (1) older documents on traditional topics such as the origins and evolution of NSIs, the capacity of countries to innovate, and the relationships of institutions, different organizational forms, networking, production and competence building with innovation and (2) newer entrepreneurship research documents. Based on analysis of the most common keywords, the most influential studies and multiple entrepreneurship approaches, we propose a Sextuple Helix model as an analytical framework that brings together innovation and entrepreneurship. [ABSTRACT FROM AUTHOR]

This paper conducts a systematic literature review with bibliometric analysis for drone-related research in Emergency Medical Services (EMS). Forty publications were extracted from the SCOPUS database during 2015–2019 for further analysis. The results show the current research landscape and guide future research directions. Interestingly, the occurrence of the COVID-19 pandemic made the use of drones necessary to assist EMSs lifesaving tasks to reduce fatality, which has also attracted more attention from the academic community. It was found that the co-evolution of drone technologies and entrepreneurial activities in the EMS ecosystem offers drone uses beyond medical applications. [ABSTRACT FROM AUTHOR]

Absorptive capacity (ACAP) is one of the most active themes in knowledge management literature. The topic is extensively mentioned in several relevant research fields, including innovation, organisational learning and strategic management. In this study, we employed bibliographic coupling to analyse the extant academic literature published in order to detect research fronts on the theme. Our sample includes 2,072 papers published in the last four years, which is in line with our basic intent to investigate the latest academic research. Papers included in the core research front highlight the role of ACAP as an organisational ability to assess new valuable knowledge, aiding the development of organisational capabilities. The role of knowledge absorption capacity in alliance networks, open innovation processes, intra-organisational learning, as well as exploratory and exploitative initiatives are the other relevant research fronts identified. We suggest the proposed implications of the analysis as material for further research on the theme. [ABSTRACT FROM AUTHOR]

The increasing popularity and adoption of the Internet of Things (IoT) ecosystem in various domains has brought attention to the security breaches linked with this paradigm. As the number of IoT devices continues to grow, it is essential to ensure that they are secured to protect against potential threats and attacks. IoT network proliferation of interconnected devices has significantly raised security concerns making them attractive targets for cyber attackers seeking to gain unauthorized access to systems and cause disruptions. As IoT networks collect and transmit sensitive data using centralized architecture, ensuring security and integrity of these networks becomes paramount. Distributed Ledger Technology (DLT) has emerged as a promising solution for enhancing IoT security. Two prominent DLT platforms: Blockchain and Internet of Things Application (IOTA) technologies can provide a more secure and resilient foundation for IoT ecosystems, and also help to mitigate risks associated with central node vulnerabilities. DLT-based IoT systems can also enable the creation of decentralized marketplaces and autonomous agents that can operate without human intervention. The objective of this research is to offer a comprehensive as well as fundamental study of IoT ecosystems and its associated security risks. Moreover, this paper provides a holistic study of the DLT platform and bibliometric inspection using VoS viewer tool on generic DLT platform technologies i.e., Blockchain and IOTA for securing data in IoT ecosystem. By leveraging bibliometric insights resulting from both DLT technologies, this study identities the most promising areas for further investigation and contribute to advancing security in IoT ecosystems. This survey contributes to the ongoing discourse on IoT security by providing a thorough comprehensive comparison of DLT solutions i.e., Blockchain and IOTA technologies on various key metrics, revealing that IOTA technology is projected to offer significant improvements over blockchain in securing sustainable IoT ecosystems. [ABSTRACT FROM AUTHOR]

Cloud computing has been a mainstream solution for the processing and storage of mass data, as well as an exciting area for research. As a novel business model, cloud computing has dramatically changed the provision of services and IT capacity by means of the advanced techniques. In recent years, with the increasing research interests and rapid growth of publications, some review papers provide detailed analysis on cloud computing area. In this paper, a bibliometric-based approach is presented and implemented to quantitatively review the progress in global cloud computing research with the related literature during 2007-2013 from the databases of Science Citation Index Expanded (SCI-E), Conference Proceedings Citation Index-Science (CPCI-S), and IEEEXplore. Our work is motivated by the purpose of tracing global advancement in terms of research content, geographic distribution and issue time of the related publications, rather than a specific technological area in cloud computing research. By investigating the characteristics of publications such as keywords, output, geographic distribution and affiliation, we draw some valuable conclusions to guide the further research. The experimental results show that the top 5 active research points of cloud computing concentrate on virtualization, security, mobile cloud, distributed computing, and scheduling. From the location-time aspect, China, USA, and India have published most of the papers, dominate cloud computing research and keep a high level on the international research cooperation. And there is a great increase in publication outputs especially in China and USA. Meanwhile, the analysis results demonstrate the top 3 high-cited research institutes of the University of Melbourne, University of California. Berkeley and University of Vienna in cloud computing research. The mobile cloud will be a future research hotspot and promising application field. [ABSTRACT FROM AUTHOR]

Living labs (LLs) are becoming an increasingly popular approach to engage in open innovation. Although applications and influence of LLs have grown rapidly over the last decade, the landscape of LL research remains largely unclear and underexplored. Hence, there is an urgent need to develop a consolidated understanding of this research field and to detect the potential areas of fragmentation and isolation. Through a systematic review of the scholarly literature on LLs, this study applies bibliometric methods on a dataset of 411 journal articles. The results of this study reveal the diverse and fragmented nature of the LL field, with contributions spanning across different disciplines and application domains. Despite such fragmentation, some clusters of scholars and publications are identified as well as influential contributions. Given the nascent state of the literature, the role of special issues in shaping the evolution of the LL debate is prominent. This study provides a map to practitioners to investigate and learn from the application of LLs in diverse fields. This aspect is particularly important in light of the current COVID-19 pandemic, which stresses the key role of open and collaborative approaches to innovation, making the use of LLs increasingly relevant for governments, companies, public organisations and individuals. [ABSTRACT FROM AUTHOR]

The synonymic use of sustainable innovation types obstructs the impact of increasingly disperse research on sustainable innovation, environmental innovation, eco-innovation, and green innovation. To identify the meaning and contributions of each innovation type over time, we apply co-word analysis as a bibliometric technique to 1,985 papers, analysing the evolution of motor, emergent and basic themes for each type. For environmental innovation, the focus has shifted from environmental regulations and policies to patents and inventions with an environmental impact, while in sustainable innovations the societal impact of technology adoption has become a driver. Green innovation increasingly concerns environmental technology and its management, whereas eco-innovation studies aspects related to efficiency and decision making. Clear distinctions among sustainable innovation types will increase the impact of this expanding body of research and make it more available to managers and policymakers. [ABSTRACT FROM AUTHOR]

Since the 2000s, the interest around smart cities continues to grow due to the increasing digitalization, urbanization, and marketing of the smart city idea by tech companies. A central characteristic of smart cities is their use of digital technologies. One of these technologies that is increasingly applied in smart cities is the blockchain. Re-search on blockchain and how it is used within smart cities has grown significantly over the last years. Nowadays, research on blockchain in smart cities is a heterogeneous research field with contributions from many different disciplines. This paper therefore seeks to provide an analysis and overview of the emergent research field of the application of blockchain technology in smart cities. We do so by conducting a bibliometric analysis of research published between 2014 and 2021. As results, we give a thematic and bibliometric overview of this research field. This includes an overview of the past research on blockchain for smart cities, its key topics, and main areas of research. Furthermore, by giving an overview of potential future research questions, we aim to provide researchers with a platform for further developments within this field. [ABSTRACT FROM AUTHOR]

Academic landscape of innovation research was analyzed by citation network analysis, which was divided into three main clusters; with "technological innovation" as the central core together with "innovation fundamentals" and "innovation management". Historically, research on innovation started from innovation management, such as innovational organization research, but research in the other two cluster areas is currently more active. With this background, we prepared a historical overview of national innovation system policy in Japan and the United States. Finally, we compared the trend of global innovation research with that of the national innovation systems in Japan and the United States. [ABSTRACT FROM AUTHOR]

A recent highly publicized study [Park, M., Leahey, E. and Funk, R. J., Papers and patents are becoming less disruptive over time, Nature613 (2023) 138–144] claiming that science has become less disruptive over recent decades represents an extraordinary achievement but with deceptive results. The measure of disruption, CD5, in this study does not account for differences in citation amid decades of exponential growth in publication rate. In order to account for both the exponential growth as well as the differential impact of research works over time, here we apply a weighted disruption index to the same dataset. We find that, among research papers in the dataset, this weighted disruption index has been close to its expected neutral value over the last fifty years and has even increased modestly since 2000. We also show how the proportional decrease in unique words is expected in an exponentially growing corpus. Finding little evidence for recent decrease in disruption, we suggest that it is actually increasing. Future research should investigate improved definitions of disruption. [ABSTRACT FROM AUTHOR]

Sustainability is one of the main challenges of civil construction. Most architectural paints release volatile organic compounds (VOCs) that harm the environment and human health. This paper presents the main discussions and theoretical approaches through bibliometrics on the theme of industrial sustainability in architectural paints. The study presents an analysis of citations, the main topics associated with this specific line of research and a conceptual framework, as well as the identification of the most explored approaches in the literature and the main gaps. The Bibliometrix library from the R package was used to organize the published data used and process the generated analyses. The analysis of 773 international scientific documents from January 1985 to November 2019 allowed an overview of the research field related to industrial sustainability in architectural paints. The main findings are summarized as follows: most documents are focused on the study of new paint compositions, observing sustainability criteria in their development; there was little presence of documents dealing with architectural paintings; most publications focus on the development and testing of new paint formulations, which are obtained from the substitution of toxic substances, which indicates that there is also a need to diversify research approaches in this field; few publications were found addressing the subject, which configures a gap in the literature related to this field of research. [ABSTRACT FROM AUTHOR]

The International Journal of Information Technology and Decision Making (IJITDM) was launched in 2002 to study how the information technology and decision-making technique affect each other. To summarize the progress of the journal in the latest 11 years, a bibliometric overview of the IJITDM publications from 2012 to 2022 is provided to identify the conceptual evolution and development situation of the journal during this time slot. To do this, first, the publication and citation structures of the publications in this journal is presented. Then, the scientific network map analysis, including keywords analysis, co-authorship analysis and co-citation analysis, is performed in details. Furthermore, the development trends of information technologies and decision-making methods are discussed to dig out factors that influence the evolution of topics in IJITDM publications. Finally, conclusions of this study are offered. It is found that the IJITDM grew significantly from 2012 to 2022. The work presented in this paper will help scholars to obtain systematic knowledge and structured understanding of the research hotspots and development trends of the journal. [ABSTRACT FROM AUTHOR]

Artificial intelligence (AI) is being used in our daily lives, in all situations and in particular those concerning service systems. However, there is an absence of the ability of the conceptual structure, thematic structure, intellectual structure, and research trends of AI and disruptive technologies in service systems. The main purpose of this study was to carry out a bibliometric analysis of the scientific production of AI and disruptive technologies in service systems based on Elsevier's Scopus database. To do so, keywords were chosen and then data outputs such as the number of published documents, top authors and citations, top journals, countries, and affiliations with the highest number of productions, and network analysis using R-based "biblioshiny" software. The main results showed the growing interest in the subject in the last five years, pointed out current themes and research trends, and revealed the intellectual structure of the field, namely the importance of smart services, cloud computing, and smart sustainable cities. The number of articles for this study reached 1,323, the growth rate has increased in the last five years and the main sources have been reported. China, South Korea and the USA were the leading countries on the subject, and the top 10 authors of influence showed. The word cloud and word growth were presented, as well as the co-citation clusters and co-occurrence network revealed important aspects, and finally the thematic map and the thematic evolution of the subject showed the important concepts. It is hoped that this research will supply future directions for researchers in the area while highlighting the potential of quantitative methods. [ABSTRACT FROM AUTHOR]

This paper analyzes funding patterns and their evolution in two medical research topics: breast cancer and ovarian cancer, taking into account cross-agency and cross-national co-funding. A bibliometric analysis of 355463 papers from PubMed (273526 on breast cancer and 81937 on ovarian cancer) brought back 91 funding agencies involved in breast cancer and 65 in ovarian cancer. Additionally, the paper examined the evolution of medical subject headings (MESH) funded by agencies. An analysis of patterns in funding, co-funding, MESH, and their evolution, was carried out using social network analysis (SNA) methodology. The results show the importance of the National Cancer Institute (NCI) in both breast and ovarian cancer. The NCI achieves its policy goals by co-funding its programs with both national and cross-national agencies. Moreover, the MESH agencies co-funded in the two years studied coincided; however, it must be said that the number of agencies which participated in research funding also increased. [ABSTRACT FROM AUTHOR]

Technological changes of electric vehicles (EVs) have been taking place along ordered and selective patterns in the potential paradigmatic shift. Together with a network-based method and an empirical study on the technology evolution of EVs, this paper not only proposes a dynamic identification method of technological trajectory, but also describes the process of technology changes in detail. This paper highlights the dynamic nature of technological evolution and improves the accuracy of analyzing the key technological trajectories. In addition, this approach helps to position the development path of an object technology and thus is utilized in designing the R&D strategy. [ABSTRACT FROM AUTHOR]

Citation patterns are important to understanding the spread of technological ideas as science is essentially a cumulative activity. One feature only now being appreciated is the obsolescence or ageing patterns in citations and the insights their study can bring. There have been a number of studies examining, predicting, modeling and plotting citation delays, ageing and the publication cycle. These normally apply lognormal, log-logistic and Weibull distributions to scientific papers. This paper adds to this body of work by examining a set of 18 other distributions, and tests their predictive power on a new data set based on 10 years of ISI Citation data for 10 innovation centered journals. The resulting grouping of journals appears to be a useful proxy for academic-practitioner involvement and warrants further investigation. The finding that the three-parameter Inverse Gaussian provides the best fit to the data extends the understanding of this process. As well as allowing the classification of literature, this improved representation of citation obsolescence will allow us to predict earlier and more precisely those scientific ideas which are generating noteworthy attention or may be suitable for early exploitation. [ABSTRACT FROM AUTHOR]

The aim of this paper is to investigate the most relevant conceptualizations of innovation taken into account by scholars, and the linkages among them. Over time, the increasing interest in this area has involved a great variety of actors and contexts in establishing the definition of different innovation labels; we chose to focus the analysis on 'system innovation', 'network innovation' and 'ecosystem innovation'. In order to observe the most relevant elements of each research stream and common aspects, a two-step analysis of literature contributions has been performed through a bibliometric analysis comparing the evidence emerging from one survey of keywords provided by authors and a second of keywords provided by editors. Through this kind of investigation the editors' keywords emerged as more objective, but nevertheless, by considering some of the different evidences obtained from the keywords provided by authors, the two-step analysis is useful to provide more complete results. [ABSTRACT FROM AUTHOR]

In this paper, a bibliometric study of the computational intelligence field is presented. Bibliometric maps showing the associations between the main concepts in the field are provided for the periods 1996–2000 and 2001–2005. Both the current structure of the field and the evolution of the field over the last decade are analyzed. In addition, a number of emerging areas in the field are identified. It turns out that computational intelligence can best be seen as a field that is structured around four important types of problems, namely control problems, classification problems, regression problems, and optimization problems. Within the computational intelligence field, the neural networks and fuzzy systems subfields are fairly intertwined, whereas the evolutionary computation subfield has a relatively independent position. [ABSTRACT FROM AUTHOR]

Database Tomography (DT) is a textual database analysis system consisting of two major components: (1) algorithms for extracting multiword phrase frequencies and phrase proximities (physical closeness of the multiword technical phrases) from any type of large textual database, to augment (2) interpretative capabilities of the expert human analyst. DT was used to derive technical intelligence from a Nonlinear Dynamics database derived from the Science Citation Index/Social Science Citation Index (SCI). Phrase frequency analysis by the technical domain experts provided the pervasive technical themes of the Nonlinear Dynamics database, and the phrase proximity analysis provided the relationships among the pervasive technical themes. Bibliometric analysis of the Nonlinear Dynamics literature supplemented the DT results with author/journal/institution publication and citation data. [ABSTRACT FROM AUTHOR]

Multi-criteria decision making (MCDM) is a sub-discipline of operations research aimed at evaluating alternatives in consideration of various criteria. It is used by practically everyone in their daily lives and professional settings. Seeing the great value of MCDM, we conduct a comprehensive review to propel its innovation and development forward. Compared with any other reviews, we do not focus on introducing its methods, but on tracing its evolution and characteristics. As a general rule, every discipline has its own developing laws. They can be understood on various levels and can point out the direction the discipline is heading for. We firmly believe that our work can bring insight into MCDM's frontiers and trend, which can eventually provide guidance on how to conduct the future research. In the first half of the paper, we investigate MCDM's paradigm through literature review and colloquially divide its story into four stages: the Stone Age, the Iron Age, the Industrial Age and the New Stage. The first three stages symbolise its debut, growth and prosperity. Each one has distinctive thoughts, techniques and application, and to some extent hints the major works of the next stage. Since the turn of the 21st century, the paradigm has been once again experiencing dramatic changes, suggesting that it is on the threshold of a new era. Thus, in the second half of the work, a bibliometric analysis of the present stage ensues. Put simply, we take a global view of the stage by visualizing the stage's publication quantity, publication distribution, and research categories. Then we design a snowballing co-citation method to explore its movements. The results demonstrate that MCDM is a dynamic, worldwide study for which China is the most productive country and the USA plays a pivot role in scholar communication. Method reviews, straightforward methods and MCDM-oriented fuzzy sets are predominant frontiers. The application, however, always changes with the requirements of the times. Now, it mainly refers to energy, environment, and supplier selection, while issues like sociology, tourism, education, etc. also emerge at a fast speed. Apart from this, experts have gradually shaken off the fetters of the traditional research style and are increasingly willing to structure methods and select application areas with a more personal touch. In the future, how to improve reviews, methods and fuzzy sets, how to understand and draw inspirations from society needs, and how experts can tailor MCDM to accommodate specific problems might be the pressing concerns. [ABSTRACT FROM AUTHOR]

This study focuses on applying bibliometric analysis and text mining technique to generate technology intelligence from publication databases. The intelligence represents the research profile and landscape by highlighting active research areas and revealing professional communities along with their social networks. Professional communities can be not just existing networks, but also hidden ones. In this paper, the analysis of biomedical engineering (BME) field in Thailand is presented as the case study. The findings can be used as key inputs for the development of effective policies and incentives to promote the research activities as well as the collaboration among different groups of experts. [ABSTRACT FROM AUTHOR]

An introduction is presented on the issue "Bibliometrics and Social Network Analysis Methods for Technology and Innovation Management" of the journal including several papers on the topics such as visualization of networks, unconventional data sources, and methods for leveraging multiple strengths.

This study analyzes publications in the field of wearable technologies (WTs) recorded in the Scopus database during the period 2000 to 2016. Using bibliometric analysis, we probe into the current status and direction of research on WT. In addition, we use cluster analysis to reveal keywords with highest frequency and to identify technology trends over time among research activities. The study provides researchers and practitioners with insights that help to identify trends in WT research. The study also highlights potential research directions and is therefore expected to benefit researchers in the area of WT. [ABSTRACT FROM AUTHOR]

Forecasting emerging technologies as well the rate of diffusion of resultant products are complex in the context of management of technology usually because of a lack of relevant data. Techniques such as bibliometric analysis and the Bass diffusion model are utilized in this paper to assess the growth rate and market penetration of computational fluid dynamics (CFD) as a technology. The penetration and growth rate of user acceptance of two CFD codes (not identified) are simulated. Furthermore, a technology forecasting model of research and innovation in the field of application of CFD in the assessment of greenhouses is presented. Some CFD results of simulations for internal and external flow in an eight-span greenhouse are presented as an illustration of the power of CFD as technology. [ABSTRACT FROM AUTHOR]

Interest in the significant impact of psychological factors on innovation outcomes is growing rapidly. Our understanding of cognitive processes is, however, evolving, and research on the specific forms and role of these factors within innovation-related decisions is limited. We propose a theory of decision-making that offers consilience across research areas, is grounded in both physical and social sciences, explains the constructs already established by innovation, adoption and resistance research, and serves the needs of innovation researchers and practitioners as a pragmatic tool. Using a variety of established research tools in novel ways including semantic field and bibliometric analysis and by drawing on research from diverse disciplines, we identify evolved psychological mechanisms as influences on adoption decision processes. We conclude that Evolutionary Choice Theory, defined as the collective influence of these evolved psychological mechanisms, should be adopted by innovation practitioners and researchers and provide specific pragmatic applications to inform this adoption. [ABSTRACT FROM AUTHOR]

Electronic journal databases allow efficient retrieval and processing of bibliometric data, making possible enhanced literature reviews called research profiling studies. We have conducted such a research profiling study of Multiple Criteria Decision Making (MCDM) using the ISI Web of Science. The ISI database covers close to 9000 publications, mainly journals. We report statistics regarding how the MCDM field has developed based on variations of a set of rather broad search words. We have also produced detailed correlation maps based on most cited authors for different decades, showing the birth and evolution of different schools of thought. We seek to provide the "big picture" of MCDM. Our study shows that the field has experienced exponential growth. At the same time it has penetrated other neighboring domains of knowledge, such as Information and Communication Technologies and engineering. [ABSTRACT FROM AUTHOR]

Purpose: The popularisation of studies on ecosystem occurred, fundamentally, after the work of Adner (2006) and began to gain theoretical strength after the study by Gomes et al. (2018a), who identified a turning point between the concepts of business ecosystems and innovation ecosystems (IE) analysing studies from 1993 to 2016. The objective of this study is to present the characteristics, trends, and current research avenues of the concept post-transition, especially in the period from 2017 to 2019, during which more publications were produced than in the first 24 years. Design/methodology/approach: Using data from the Web of Science, we performed a systematic literature review, through bibliometric (n = 153 studies) and content analysis (n = 15 studies). Data were analysed through bibliometrix (a R-tool package) and reading of the studies selected. Findings: Our study revealed some new research suggestions linked to actors, infrastructure and financial capital for innovation; public policy, social capital, and development; IE Governance; and IE limits. Research limitation/implications: One limitation of our study is the fact that it only used the Web of Science database. Originality/value: Even though the literature on IE is extensive, no studies have captured the recent trends on this topic. These trends can be useful for 'new avenues' in IE research. The findings also can be important to clarify the concept of IE. [ABSTRACT FROM AUTHOR]

Since the first agent-based models (ABM), the scientific community has been interested in making not only the results of computational models understandable but also the modeling description, to facilitate their replication. The form that has been adopted to a greater extent has been the ODD (Overview, Design concepts, and Details) protocol, which provides a generic structure for its documentation. This protocol provides a way to clearly explain the procedures and interactions of the complex systems to be analyzed, with applications that have spread across different disciplines. This study presents a bibliometric analysis using Scopus database of the articles that emerged from the first publication of this protocol in 2006. The results show that the use of this form of documenting has grown in Economics, but its participation remains stable in relative terms. Results also show that the top journal both in number of articles and impact is JASSS, but it is not observed that there is a greater dissemination toward specific Economics journals or that it is used for a greater number of topics. Finally, it is found that there is a common core in Economics' ABM literature, with a bias toward methodological articles in the articles that follow the ODD protocol while there is a bias towards articles on economic models in those that do not follow this protocol. [ABSTRACT FROM AUTHOR]

Social media has revolutionized the sports industry by changing the way athletes, coaches, clubs, federations, sport companies and other industry actors interact. Although academic interest in the emergence of social media in the context of sports has increased in recent years, these platforms have not been studied from a bibliometric viewpoint. Therefore, this study examined the scientific production of social media in sports using descriptive bibliometric software. The most prolific authors, journals, institutions, number of citations and networks of authorship are identified. From the bibliometric analysis, implications for sport managers and future research directions for social media in sports are stated. [ABSTRACT FROM AUTHOR]

Over the past decade, research on innovation in family firms has received growing attention by scholars and practitioners around the globe with a wide range of aspects explored within the current body of literature. Despite the constantly growing number of scientific publications, research lacks a comprehensive and critical review of past and present research achievements. First, conducting a bibliometric analysis with a focus on innovation in family firms, we identify five topical clusters that help to understand the foundations of recent findings: namely ownership and governance, structural settings, organizational culture and behaviour, resources, and innovation and strategy. Second, based on a thorough literature review the major research avenues are reflected. The comparison of the results of both analyses showed the following areas for future research on family firm innovation: members' individual human capital and their leadership behaviour, openness to externals, cross-country comparisons, and finally the family's functional integrity on innovation performance. [ABSTRACT FROM AUTHOR]