Co-authorship Network Research Articles

A Bibliometric Analysis of Sustainability Education in Tourism Universities

There is growing interested in the analysis of academic training in the sustainable field of tourism. However, no explicit body of knowledge has focused on evaluating the performance of a scientific activity in this field. Accordingly, this study systematically reviews academic research on the sustainability of the educational background in tourism universities through a bibliometric analysis. For this purpose, bibliometric tools related to research activity impact indicators and analysis of co-authorship networks and keywords have been used. The results show that the topic analysed is recent and that the number of publications continues to grow. They also show that only some academics have addressed this topic, which implies that more research is needed. Therefore, in this framework, thematic specialization could be a strategic option. Researchers can use these results to approach future studies about suggested research avenues better.

THE BIBLIOMETRIC ANALYSIS OF THE AUGMENTED REALITY RESEARCH CARRIED OUT WITH THE EXPERIMENTAL METHOD PUBLISHED IN SCOPUS BETWEEN 2012-2022

This study aims to make a bibliometric analysis of the augmented reality articles carried out with the experimental method between 2012 and 2022 in the Scopus database. To realize the aim of the research, 255 articles published between 2012-2022 were reached. The bibliometric data of 255 articles from the Scopus database were analyzed using VOS viewer 1.6.18 software and visualized with the Tableau software. According to the research findings, 255 articles were produced by researchers from 49 different countries. According to co-authorship networks, six different clusters were formed. National Taiwan University of Science and Technology is the leading institution in AR research with the experimental method. The 255 articles reviewed were published in 159 different journals. Interactive Learning Environments journal ranks first with 13 publications by far, while Computers and Education journal stands out with 878 citations in terms of the number of citations. When the keywords used in the articles were examined, it was seen that the concepts of virtual reality, mobile learning, motivation, and cognitive load came to the fore. The results obtained within the scope of the research were shared by discussing with other study findings obtained from the literature.

Scientometric review of Web 3.0

Web 3.0 is a next-generation web architecture that envisions a more decentralised, secure and intelligent Internet. Its implications are vast and could potentially impact various research areas, such as e-commerce, social networking, finance, healthcare and education. It can be seen as a confluence of various technological advancements, including blockchain, artificial intelligence, semantic web and decentralised web technologies, which continue to attract substantial research interest in several dimensions and categories throughout the last few decades. A detailed scientometric analysis was undertaken to obtain concise understanding on development and publication trends of this multi-dimensional field. Corpus of 1154 articles, extracted from Web of Science from 2002 to 2022, were used to identify networks of co-authorship, keywords, subject categories, institutions and countries engaged in publishing on Web 3.0 along with co-citation and cluster analysis. Networks and interactive visualisations created using CiteSpace revealed new research areas where Web 3.0 may be beneficial and potential directions of development for Web 3.0 discipline. We identify Journalism 3.0, Personal Data Stores (PDS), Decentralised File Storages (DFS) and Metaverse as emerging domains Web 3.0 research, seeking overwhelming research attention globally.

Ecological Footprint Towards Sustainable Development: A bibliometric analysis

The present empirical study aims to analyze the ecological footprint because Climate change has become a global phenomenon due to its threat to sustainable development. This examine a bibliometric analysis to adjust the present knowledge from 761 publications related to ecological footprint from this period, covering 33 countries, 31 source , 150 institutions, 585 funding agencies, and 172 authors. between 2013 and 2022. This research evaluated citation restraints and co-Authorship networks to acknowledge contributions from select authors, organizations, and countries. Next, a co-citation breakdown of the prior literature identified four major thematic areas: ecological footprint, sustainability, climate change, the carbon footprint, and development'. For this, we use R studio productive techniques which include two types of methods first descriptive analysis like documents, and authors. Overview while another type contains structural analysis. The statistical software tool R package and VOS viewer are used to do all of these operations. The findings show that ecological footprint is a key tool for long-term environment development. This Study offers policy recommendations for creating long-term good governance that will assist national economic development.
 Key words: Bibliometric analysis, Content analysis, Ecological Footprint, Network analysis, Sustainable development
 
 

Artificial Intelligence Application in Law: A Scientometric Review

Several topics, problems, and established legal principles are already being challenged using artificial intelligence (AI) in numerous applications. The powers of AI have been snowballing to the point where it is evident that AI applications in law and various economic sectors aid in promoting a good society. However, questions such as who the prolific authors, papers, and institutions are, as well as what the specific and thematic areas of application are, remain unanswered. In the current study, 177 papers on AI applications in law published between 1960 and April 29, 2022, were pulled from Scopus using keywords and analysed scientometrically. We identified the strongest citation bursts, the most prolific authors, countries/regions, and primary research interests, as well as their evolution trends and collaborative relationships over the past 62 years. The analysis also identified co-authorship networks, collaboration networks of countries/regions, co-occurrence networks of keywords, and timeline visualisation of keywords. This study concludes that systematic study and enough attention are still lacking in AI application in law (AIL). The methodical design of the required platforms, as well as the collecting, cleansing, and storage of data, and the collaboration of many stakeholders, researchers, and nations/regions are all problems that AIL must still overcome. Both researchers and industry professionals who are devoted to AIL will find value in the findings.

Bibliometric analysis of the association between drinking water pollution and bladder cancer.

Bladder cancer has become an increasingly intractable health problem worldwide. Long-term drinking water pollution is known to promote its occurrence. This study aimed to analyze the research status, hot spots, and future trends of drinking water pollution and bladder cancer through extensive bibliometric examination to provide reference data for better prevention and management of bladder cancer. The Scopus database developed by Elsevier was browsed for articles that met the predefined criteria using the search terms related to drinking water and bladder cancer. Included articles were further evaluated by year of publication, subject category, institution, article type, source journal, authors, co-authorship networks, and text mining of titles by R software packages tm, ggplot2 and VOSviewer software. In total, 687 articles were selected after a comprehensive literature search by the Scopus database, including 491 research articles, 98 review articles, 26 conference papers, 23 letters and 49 other documents. The total number of articles published showed an upward trend. The United States has the largest number of published articles (345 articles), institutions (7/10) and funding sponsors (top 5). The journal with the most publications was Environmental Health Perspectives, with 46 published. The highest number of citations up to 2330 times for a single article published in 2007 on the journal of Mutation Research. Professor Cantor K.P. was the highest number of publications with 35 articles and Smith A.H. was the most cited author with the number of citations reaching 6987 times overall and 225 times per article. The most frequent keywords excluding the search subject were "arsenic", "chlorination", "trihalomethane", and "disease agents". This study is the first systematic bibliometric study of the literature publications on drinking water pollution and bladder cancer. It offers an overall and intuitive understanding of this topic in the past few years, and points out a clear direction research hotspots and reveals the trends for further in-depth study in future.

A Bibliometric Analysis of Workplace Deviance from 2004 to 2020

AbstractPurpose: The primary goal is to offer a bibliometric study of the work on workplace deviation between 2004 and 2020 till December. 650research publications were examined out of 292 finalised final considerations. The research aims to identify the most significant journalsin this field, the most cited publications in a specific year, and notable authors. After that, an inter-country co-authorship network map ismade available.Methodology: Author used the Web of Sciences database to look at the information about the different papers in the study and also usedthe VOS viewer software to make maps of keyword occurrence,co-authorship network ship between countries, and maps of coauthorship.Findings: The results of this study prove that the leading publication in the year 2017, the most influential journal, is the Journal ofBusiness Ethics. The most cited paper is about developing a measure of workplace deviance. Furthermore, the most prominent authors areBennett, R. J., and Robinson, S. L. (2000). The United States and the state university of Florida are the countries and schools with the mostpatents.Originality/Value: This study provides comprehensive literature on workplace deviance and a reliable picture of this area usingbibliometric techniques. The study results help future authors interested in researching this topic.Keywords: Bibliometric analysis, Vosviewer, Workplace deviance

Mapping 26years of climate change research in finance and accounting: a systematic scientometric analysis.

Climate change and climate finance continue to attract substantial research interest in several dimensions and categories through COVID-19 breakout and resulting disruptions were crucial. An in-depth scientometric analysis was undertaken to gain concise insights on evolution and publication trends of this multi-dimensional field. Corpus of 657 articles, extracted from Web of Science from 1995 to 2020, were used to identify networks of co-authorship, keywords, subject categories, institutions, and countries engaged in publishing on climate finance along with co-citation and cluster analysis. Networks and interactive visualizations created using CiteSpace revealed new research areas where climate finance may be beneficial along with potential directions of development for climate finance discipline. We identify carbon neutrality, accounting for sustainability, planetary boundaries framework, sustainable finance, managing climate risk for third pole, financial innovation and green finance, green swans, COVID pandemic and corporate law and governance in climate finance as emerging domains of climate finance research, seeking overwhelming research attention globally.

Insights from the co-authorship network of the Italian academic statisticians

Nowadays, new technologies have favored communication among scholars from different universities and countries, and huge amount of data and scientific works have become more and more accessible. This has led to an increase in the multidisciplinarity of research products, but often also to a more specialized level of knowledge of the scholars. Therefore, while belonging to the same disciplinary field, scholars may present different working styles and willingness to collaborate according to their specific topics of interest. This plays a particularly relevant role in Italy, where tenured scholars in academic institutions are classified in sub-fields that, in turn, may be aggregated for purposes of recruitment and career advancement. Aim of this contribution is to propose a methodological approach to understand if the work and collaborative style of academic scholars belonging to different sub-fields is really so similar as to justify their grouping. For illustrative purposes, we focus on the co-authorship network of Italian academic statisticians relying on the database of scientific works published since 1990 until 2021 and downloaded by SCOPUS. From this database, we obtain a network composed of 758 nodes and 1730 edges. Some network measures at node level representing the work and collaborative style of scholars (i.e., number of publications, degree, degree strength, some centrality indices, transitivity, and external-internal index) are explained through quantile regression models. Results provide policy makers with useful insights on which sub-fields present significant differences in terms of research interests and collaborative style, thus not justifying their aggregation for recruitment and career advancement purposes.

Bibliometric Analysis and Visual Mapping of the Articles Published in the ILEF Journal from the Beginning to the Present

Bibliometric analyses reveal the intellectual, social, and conceptual structure of the publications. In bibliometric analysis, the trend of scientific publications in various disciplines in a certain period is revealed with the help of quantitative indicators. The primary purpose of this study is to create a bibliometric profile of the articles published in the Journal of Ankara University Faculty of Communication between 2014 and 2021. The research preferred the bibliometric method because it is convenient to examine any publication and categorize and report the data systematically. 105 articles written by 128 researchers were examined in the journal during the specified period. The research examined bibliometric indicators such as article and citation frequencies, most cited authors, co-citation analysis, common word analysis, and co-authorship networks. In addition, criteria determined by Price, Lotka, and Pareto were used in the research to reveal author productivity. The research results showed that the articles published in the Journal of Ankara University Faculty of Communication do not comply with Price, Lotka, and Pareto principles. Research findings show that empirical studies in communication have gained importance compared to theoretical studies in recent years.

Landolt Indicator Values in Modern Research: A Review

The conservation of biodiversity and ecosystem sustainability is essential for human well-being. An important tool for addressing this issue is ecological indicators. This overview document examines recent studies covering the period 2018–2022 that use the values of the Landolt indicator as one of the analysis methods. The total number of records examined was 8910. After excluding irrelevant, inconsistent and duplicate records, 91 records were selected. The selection criteria were the presence of the English abstract and a digital object identifier (DOI). We chose the VOSviewer software for data analysis and visualization. The analysis of research geography, types of plant communities under research, research topics, the network of co-authorship and relationship papers, as well as the publication activity and citation rate of the authors, is carried out. The results revealed that the geography of using Landolt indicator values is quite wide, while they are more often used in Switzerland, Italy and Russia. The most important and frequently cited studies were carried out in the context of large international projects, confirming the importance of scientific cooperation in the development of environmental indicators. The Landolt indicator values showed effectiveness in the study of forests, bogs, riparian vegetation, a coarse quarry waste dump, and in assessing the urban environment. At the same time, the vegetation dynamics and influence of various factors on plants were studied most often. It was revealed that Landolt indicator values can serve as an effective universal method that integrates many aspects of the environment and allows for a comprehensive multicriteria analysis of environmental factors, habitat stability, vegetation diversity and dynamics for different plant communities at different spatial scales over a wide geographical area. This is confirmed by the high citation rate of the papers. We recommend the Landolt indicator values for a wider use, including in the monitoring of ecosystems and individual species for their conservation and sustainable management. In order to achieve this goal, it is necessary to extend the network of relationships between the authors, which is not very well developed at the moment. The research results obtained are useful for the further successful development not only of the Landolt indicator values but also of environmental indicators in general.

An Exploration of Overconfidence and the Disposition Effect in the Stock Market

This paper offers a comprehensive empirical overview of the impact of overconfidence in the stock market, thus contributing to the existing research literature on this topic. The study employs a bibliometric approach that utilizes the VOSviewer to extract and analyze 277 articles registered between 1992 and January 2023. By providing a detailed analysis of the literature, this research expands our understanding of the impact of overconfidence in the stock market and offers avenues for future studies in this area. The results of this analysis are noteworthy, as they reveal several important findings. These include the exponential growth of scientific production in recent decades, the concentration of research in specific journals indexed in the Journal Citation Reports, the presence of institutional co-author networks, and the thematic and temporal segregation of financial behavior concepts. The most significant finding of this study is the identification of six major clusters: investor behavior during times of crisis; behavioral finance; herding and risk-taking concepts; psychological and cognitive decisions; emotions and decision-making; and the performance of stocks. This temporal evolution of research demonstrates the emergence of various perspectives on the relationship between individual financial behavior and the global market. This study represents a pioneering effort in the field of bibliometric analysis as it is the first to specifically examine the subject of overconfidence in the stock market using this method.

Trends in worldwide research on cardiac fibrosis over the period 1989-2022: a bibliometric study.

Cardiac fibrosis is a hallmark of various end-stage cardiovascular diseases (CVDs) and a potent contributor to adverse cardiovascular events. During the past decades, extensive publications on this topic have emerged worldwide, while a bibliometric analysis of the current status and research trends is still lacking. We retrieved relevant 13,446 articles on cardiac fibrosis published between 1989 and 2022 from the Web of Science Core Collection (WoSCC). Bibliometrix was used for science mapping of the literature, while VOSviewer and CiteSpace were applied to visualize co-authorship, co-citation, co-occurrence, and bibliographic coupling networks. We identified four major research trends: (1) pathophysiological mechanisms; (2) treatment strategies; (3) cardiac fibrosis and related CVDs; (4) early diagnostic methods. The most recent and important research themes such as left ventricular dysfunction, transgenic mice, and matrix metalloproteinase were generated by burst analysis of keywords. The reference with the most citations was a contemporary review summarizing the role of cardiac fibroblasts and fibrogenic molecules in promoting fibrogenesis following myocardial injury. The top 3 most influential countries were the United States, China, and Germany, while the most cited institution was Shanghai Jiao Tong University, followed by Nanjing Medical University and Capital Medical University. The number and impact of global publications on cardiac fibrosis has expanded rapidly over the past 30 years. These results are in favor of paving the way for future research on the pathogenesis, diagnosis, and treatment of cardiac fibrosis.

Growth, diversification, and disconnection: an analysis of 70 years of intelligence scholarship (1950-2020)

ABSTRACT Intelligence studies scholarship is growing exponentially but is siloed in disciplinary clusters. After reviewing a citation dataset of nearly 6,000 articles on intelligence, we found that article-based scholarship on intelligence is growing at an exponential rate – the last ten years (2010–2020) saw more knowledge production in scholarship than the previous sixty years combined (1950–2010). The topics under investigation have diversified into three major areas: the study of intelligence services, the ‘how to’ of intelligence practice, and the impact of intelligence on society. Our analyses of topics and core co-authorship networks show productive but disconnected islands between disciplines. We argue a shift towards more interdisciplinary research could narrow these gaps and make intelligence scholarship more impactful.

Corporate Governance in Family Firms: A Bibliometric Analysis

Like other business forms, corporate governance is a matter of concern for family firms as well. The objective of the work is to study the corporate governance practices of family-owned firms using bibliometric analysis of existing literature. With the help of VOSviewer & Biblioshiny Software, an attempt has been made to develop the visualization patterns based on academic publications growth, most influential authors, country, keyword occurrences, thematic map and co-authorship network. Based on 435 studies conducted during the selected period, the study found the maximum work has been done in the USA followed by Italy, Spain, China and UK, and Anderson and Reeb (2003) is the most cited work in this area. The main focus of prominent studies was on assessing the impact of family ownership on a firm’s performance, and there is unanimity that family firms’ CEOs devote more time and effort to preserve socio-economic wealth, have fewer forecasting errors and perform better. Though ‘corporate strategy’ and ‘governance approach’ are key concepts in family businesses yet it is a less explored areas. Thiss article provides an overview of how the literature on corporate governance and family firms has evolved and a synopsis of the most influential authors, most productive countries, co-word analysis and themes clustering. This study provides a thorough coverage of the existing literature on family governance mechanisms and is helpful for new researchers who want to understand this concept and also for those who are looking to explore new directions in the same field.

Bibliometric Analysis and Literature Review of Mountain Tourism

In recent years, the adventure-seeking behaviour of tourists has increased the consumption of mountain tourism. The research on mountain tourism, however, is fragmented, highlighting the gaps in the current literature. This study uses bibliometric analysis to summarise the literature from 1462 articles published on mountain tourism between 1982 to 2022. The study uses bibliographic data to carry out descriptive and network analysis. The co-authorship network is used to highlight the impactful contributors to mountain tourism research. Further, keyword co-occurrence and bibliographic coupling networks helped in identifying the economic development, nature conservation and preservation, climate change and future of mountain tourism, and tourist satisfaction and marketing as the themes in the mountain tourism research. The content analysis of these clusters delivers insight into past research and suggests research for future avenues. The study offers advantages to the researchers and practitioners by suggesting future research avenues and policy actions.

Adviser connectedness and placement outcomes in the economics job market

We study the role of social networks in the academic job market for graduate students of Economics. We find that the connectedness of a student’s advisor in the coauthor network significantly improves her job market outcome. We use two identification strategies and find that a) higher Eigenvector centrality of an adviser leads to her student getting placed at a better ranked institution, and b) larger distance between an adviser and an institution decreases the probability that her students are placed there. Our study sheds light on the importance of social connections in a labour market where information frictions regarding job openings are virtually absent.

Toward carbon neutrality: a bibliometric analysis of technological innovation and global emission reductions.

In the context of global carbon neutrality, climate change mitigation and response has become a top priority. Currently, countries around the world are setting emission reduction targets or are already involved in carbon-neutral actions, with technological innovation becoming the key to global emission reduction. Therefore, a systematic review of the literature related to technology innovation and emission reduction in response to carbon-neutral actions for climate change is conducted. A global bibliometric visualization analysis is presented using CiteSpace and VOSviewer software. This study visualizes the basic relationship between global emission reduction and technology-related literature under the carbon neutrality target and analyzes and discusses the spatial distribution and hotspot trends of the co-author network and knowledge base. The results show that (1) the trend of the number of relevant studies can be divided into two phases before and after, and starts to increase gradually after 2020. (2) The structural relationship of the author- and institution-based cooperative networks is relatively loose, and the main cooperative networks, mainly by countries, are initially formed by the key contributions of developed and emerging economies. (3) Relevant research hotspots are reflected in multiple perspectives such as investment, management, and policy, in addition to emission reduction targets and technological innovation itself. The causal relationship between relevant research and economic and political dimensions has become an important driving factor for research development. Especially in the paradigm shift phase, there are research characteristics of human intervention and specific actions. (4) In terms of future trends, research involving policy management, methodological efficiency, and systemic models will become important research paths in the future by matching the supply of actions to real needs.

Bibliometric analysis of school improvement research: A century of scholarly contributions

This study aims to comprehensively review the historical development and current status of research in the field of school improvement using a bibliometric analysis approach. Recognizing the vital role of schools in society and the necessity for their constant evolution, it is essential to understand the breadth and depth of scholarly efforts in school improvement. Using the Scopus index, 596 English language journal articles on school improvement published between 1916 and 2023 were identified and analyzed. Utilizing the VOSviewer software, the bibliometric analysis was conducted in two stages: descriptive statistics to understand the trend of document volumes and co-authorship countries, and a multidimensional scaling technique to visualize co-authorship, co-occurrence, and citation networks. The data revealed a consistent rise in publication volume over the years, with a peak in 2020. Despite contributions from 45 countries, the United States and the United Kingdom were the most prolific. However, author collaboration was found to be minimal, suggesting potential for broader partnerships. The study also identified key research themes such as leadership, distributed leadership, and accountability through keyword co-occurrence analysis. The most frequently cited literature emphasized the role of collaboration, instructional program coherence, and school culture in school improvement. The findings underscore the necessity for increased global collaboration, exploration of emerging themes, and enhanced geographical representation in future research to further enrich the knowledge base in this vital educational field.

A Methodology for the Analysis of Collaboration Networks with Higher-Order Interactions

Scientific research often involves collaboration among researchers, and coauthorship networks are a common means of exploring these collaborations. However, traditional coauthorship networks represent coauthorship relations using simple links, i.e., pairwise interactions, which fail to capture the strength of scientific collaborations in either small or large groups. In this study, we propose a novel methodology to address this issue, which involves using a multilayer network model that captures the strength of coauthorship relations and employs a convergence index to identify the collaboration order in which these properties converge. We apply this methodology to investigate the collaborative behavior of researchers in the context of the three main public universities in Mexico over the last decade, using Scopus data as the primary source of information. Our study reveals that community structure emerges in low-order collaborations, and higher-order collaborations lead to increased clustering and centrality measures. Our methodology provides a comprehensive and insightful way of analyzing scientific collaborations and sheds light on the dynamics of scientific collaboration, providing a valuable tool for future studies. Our proposed model and convergence index can be applied to other scientific domains to better capture the strength of collaborations among researchers.