Co-authorship Network Analysis Research Articles

Mapping the Landscape of Environmental Taxation Studies with a Bibliometric Approach

This study presents a comprehensive bibliometric analysis of environmental taxation research, aiming to map the thematic landscape, identify research trends, and highlight potential areas for future investigation. Utilizing VOSviewer, the analysis encompasses 980 papers published between 1983 and 2024, revealing key themes such as economic impacts, sustainable development, emission control, and policy optimization. Temporal trends indicate a growing emphasis on integrating innovation and sustainability into environmental tax policies. Potential research areas identified include optimizing tax rates, exploring behavioral responses, and addressing equity considerations. The co-authorship network analysis highlights influential authors and collaborative clusters, suggesting opportunities for enhancing interdisciplinary research. This study provides valuable insights for policymakers, academics, and practitioners aiming to design effective environmental tax policies that address global environmental challenges.

Bibliometric Analysis on Agronomy Topics

This study employs bibliometric analysis and network visualization techniques to explore the evolution and current trends in agronomy research over the past decade. Through a series of VOSviewer visualizations, we analyze thematic clusters, research trends over time, author collaborations, and potential research opportunities within the field. Our findings indicate a dynamic shift from foundational topics such as soil and nutrient management towards more complex issues like crop-specific adaptations and environmental stress responses. Additionally, the analysis of co-authorship networks reveals robust collaborative patterns among scholars, emphasizing both dense clusters and isolated research activities. The study also identifies emerging research areas, including sustainable pest management and the agronomic impact on food quality, highlighting gaps and opportunities for future research. This comprehensive overview not only charts the scientific landscape of agronomy but also serves as a guide for future scholarly endeavors aimed at enhancing sustainable agricultural practices.

Analyzing the evolution of machine learning integration in educational research: a bibliometric perspective

Machine learning, a subset of artificial intelligence, has experienced rapid advancements and applications across various domains. In education, its integration holds great potential to revolutionize teaching, learning, and educational outcomes. Despite the growing interest, there needs to be more comprehensive bibliometric analyses that track the trajectory of machine learning’s integration into educational research. This study addresses this gap by providing a nuanced perspective derived from bibliometric insights. Using a dataset from 1986 to 2022, consisting of 449 documents from 145 sources retrieved from the Web of Science (WoS), the research employs network analysis to unveil collaborative clusters and identify influential authors. A temporal analysis of annual research output sheds light on evolving trends, while a thematic content analysis explores prevalent research themes through keyword frequency. The findings reveal that co-authorship network analysis exposes distinct clusters and influential figures shaping the landscape of machine learning in educational research. Scientific production over time reveals a significant surge in research output, indicating the field’s maturation. The co-occurrence analysis emphasizes a collective focus on student-centric outcomes and technology integration, with terms like “online” and “analytics” prevailing. This study provides a nuanced understanding of the collaborative and thematic fabric characterizing machine learning in educational research. The implications derived from the findings guide strategic collaborations, emphasizing the importance of cross-disciplinary engagement. Recommendations include investing in technological infrastructure and prioritizing student-centric research. The study contributes foundational insights to inform future endeavors in this ever-evolving field.

Evolution of Single-Session Therapy: A Bibliometric Analysis.

This bibliometric analysis aimed to explore the publication and citation metrics of the research literature on single-session therapy (SST) to understand its current status, trends, and future prospects. Seventy-five keywords were validated by subject matter experts. Publications from 1972 through September 2023 were extracted from the bibliometric website Lens.org. Publication trends, citation patterns, prominent journals, and influential authors were examined as part of the bibliometric analysis. Citation network analysis, bibliographic coupling of authors, and coauthorship network analysis were also performed. A total of 301 SST publications, including 18 books, 85 book chapters, and 176 journal articles, were found, published by 493 authors. The citation- and publication-related metrics suggested a growing level of subject matter expertise over time. Initially, single-author publications held more prominence than collaborative work, but this pattern shifted. From 2011 to 2020, scholarly interest surged, resulting in 144 publications during this period. This bibliometric analysis, the first systematic exploration of the SST knowledge base, can be used to expand and enrich future SST research.

A Science Mapping Approach-Based Review of Construction Workers’ Safety-Related Behavior

Promoting safe behaviors among construction workers and mitigating unsafe behaviors is an effective approach to enhancing safety performance in the construction industry. Although progress has been made, the research themes concerning construction workers’ safety-related behaviors (CWSRB) and the detailed progress of each theme remain unclear due to differences in review perspectives and conceptual scopes. This study utilized CiteSpace software (V6.2R3 version) to conduct an analysis of co-authorship networks, co-word networks, and co-citations on 563 published articles in this field from 2013 to 2023. This study’s outcomes highlight several key insights: (1) journals such as Safety Science play a pivotal role in the domain; (2) institutions such as the City University of Hong Kong and Hong Kong Polytechnic University, along with prolific authors like Li, are major contributors to the field; (3) the focus of research has evolved from early organizational factors towards a more diverse range of topics, with deep learning emerging as a significant current research hotspot; (4) this study has identified high-cited literature and 11 primary clusters within the field. Current research focuses on five areas: safety-related behavior concepts, influencing factors and consequences, formation mechanisms, interventions, and applications of new technologies. Establishing clear classification criteria for unsafe behaviors, comprehensively understanding the formation mechanisms of safety-related behaviors, evaluating the effectiveness of intervention strategies, and exploring the practical applications of new technologies are future research directions. This study provides researchers with a holistic view of the present state of research and potential avenues for future exploration, thereby deepening the knowledge and comprehension of stakeholders within this domain.

Advancements and turning point of artificial intelligence in ophthalmology: A comprehensive analysis of research trends and collaborative networks.

Artificial intelligence (AI) has emerged as a transformative force with great potential in various fields, including healthcare. In recent years, AI has garnered significant attention due to its potential to revolutionise ophthalmology, leading to advancements in patient care such as disease detection, diagnosis, treatment and monitoring of disease progression. This study presents a comprehensive analysis of the research trends and collaborative networks at the intersection of AI and ophthalmology. In this study, we conducted an extensive search of the Web of Science Core Collection to identify articles related to 'artificial intelligence' in ophthalmology published from 1968 to 2023. We performed co-occurrence keywords and co-authorship network analyses using VOSviewer software to explore the relationships between keywords and country collaboration. We found a remarkable surge in articles applying AI in ophthalmology after 2017, marking a turning point in the integration of AI within the medical field. The primary application of AI shifted towards the diagnosis of ocular disease, which was particularly evident through keywords such as glaucoma, diabetic retinopathy and age-related macular degeneration. Analysis of the collaboration networks of countries revealed a global expansion of ophthalmology-related AI research. This study provides valuable insights into the evolving landscape of AI integration in ophthalmology, indicating its growing potential for enhancing disease detection, diagnosis, treatment planning and monitoring of disease progression. In order to translate AI technologies into clinical practice effectively, it is imperative to comprehend the evolving research trends and advancements at the intersection of AI and ophthalmology.

Powder metallurgy processing of high entropy alloys: Bibliometric analysis and systematic review

Abstract Research attention in powder metallurgy (PM) processing of high-entropy alloys (HEAs) is rising. Some reviews have been published but a detailed historical analysis to identify the thematic research areas and prospective future research areas is lacking. Therefore, this study presents a bibliometric literature analysis of PM-processed HEAs by mapping and clustering 700 articles published between 2007 and August 2022 in the Scopus database. The most prolific authors, their collaborators, institutions, and most preferred journals publishing PM-HEA works are identified and mapped. Publication trend shows that significant research attention in the PM processing of HEAs began to gain traction in 2016. The top three journals in this field are Journal of Alloys and Compounds, Materials Science and Engineering A, and Intermetallics. However, co-authorship network analysis does not reveal significant inter-institutional research collaboration indicating that strengthening this area could help to accelerate scientific discovery, enhance technology transfer, and commercialization of HEA products. Based on the co-occurrence frequencies of author keywords, popular research directions are identified, and a systematic review of emerging functional applications is undertaken. This work provides a comprehensive visual reference guide for researchers to deepen their knowledge of this field and delivers insight into prospective future research opportunities to stimulate further ground-breaking works.

Portfolio analysis of global tobacco control research funding at the National Cancer Institute, 2000-2019.

Research in low- and middle-income countries (LMICs), where the majority of global tobacco users reside, is critical to addressing the global tobacco epidemic. This analysis describes the global tobacco control research portfolio funded by the National Cancer Institute from fiscal years 2000 to 2019. We used the National Institutes of Health Query, View, Report database to identify extramural grants relevant to global tobacco control research. Abstracts were analyzed to describe grant characteristics, including topic areas, tobacco products, countries, and regions of focus. Bibliometric and co-authorship network analyses were performed for publications associated with relevant grants. Of the 93 relevant grants with foreign (non-US) involvement, the majority (83.9%) supported research in upper and lower middle-income countries. The majority of grants (86.0%) focused on cigarettes, with a small subset of grants addressing smokeless tobacco, waterpipe use, or other non-cigarette products. Most grants focused on at least one of the six tobacco control policy measures in the World Health Organization MPOWER package; almost half (48.4%) focused on monitoring tobacco use and around one-third (32.3%) focused on offering tobacco cessation treatment, while other MPOWER measures received less attention in the research portfolio. While most of these grants, and the funding initiatives that supported them, emphasized research in low- and middle-income countries (LMICs), only 3 of 93 grants were awarded directly to LMIC-based institutions. There is a critical need for research to develop and test strategies to adapt, implement, and scale up evidence-based interventions across diverse LMIC settings. This study identified gaps in research activity that should be addressed to strengthen global tobacco control research capacity.

Co-authorship network analysis of North Korean chemistry researchers based on issues of <i>Chemistry and Chemical Engineering</i> published from 2008 to 2022: a bibliometric study

Purpose: This study conducted a comprehensive analysis of North Korean domestic journals, using scientific quantification methodologies to identify prominent researchers and research areas within the field of chemistry.Methods: Data were collected from the journal Chemistry and Chemical Engineering published in North Korea. Through an analysis of co-authorship relations and literature reviews of papers authored by researchers who were highly influential in research networks, core research areas were identified.Results: The researcher with the highest number of publications in the given period was Yong-Chol Lee, with 31 publications, followed closely by Gyun Kim, who also demonstrated significant research activity. When focusing on the last 5 years, Myeong-Cheol Hong emerged as a prominent figure. Yong-Chol Lee has expertise across diverse fields of chemistry, including fine chemicals, biochemistry, and mineral materials. Gyun Kim, in contrast, is recognized for his in-depth knowledge of organics, enzymes, processes, catalysis, fine chemicals, and industrial chemistry. Myung-Cheol Hong’s research primarily centers around organic chemical synthesis within the fine chemical domain. All three researchers are making substantial contributions to the chemical industry.Conclusion: The findings of this study provide valuable insights into research trends in the field of chemistry in North Korea and contribute to a broader understanding of the discipline’s internal knowledge structure within the global academic community. This research is anticipated to be especially useful for scholars who are analyzing bibliographic information pertaining to North Korea.

Unleashing the power of AI: a systematic review of cutting-edge techniques in AI-enhanced scientometrics, webometrics and bibliometrics

PurposeThe study aims to analyze the synergy of artificial intelligence (AI), with scientometrics, webometrics and bibliometrics to unlock and to emphasize the potential of the applications and benefits of AI algorithms in these fields.Design/methodology/approachBy conducting a systematic literature review, our aim is to explore the potential of AI in revolutionizing the methods used to measure and analyze scholarly communication, identify emerging research trends and evaluate the impact of scientific publications. To achieve this, we implemented a comprehensive search strategy across reputable databases such as ProQuest, IEEE Explore, EBSCO, Web of Science and Scopus. Our search encompassed articles published from January 1, 2000, to September 2022, resulting in a thorough review of 61 relevant articles.Findings(1) Regarding scientometrics, the application of AI yields various distinct advantages, such as conducting analyses of publications, citations, research impact prediction, collaboration, research trend analysis and knowledge mapping, in a more objective and reliable framework. (2) In terms of webometrics, AI algorithms are able to enhance web crawling and data collection, web link analysis, web content analysis, social media analysis, web impact analysis and recommender systems. (3) Moreover, automation of data collection, analysis of citations, disambiguation of authors, analysis of co-authorship networks, assessment of research impact, text mining and recommender systems are considered as the potential of AI integration in the field of bibliometrics.Originality/valueThis study covers the particularly new benefits and potential of AI-enhanced scientometrics, webometrics and bibliometrics to highlight the significant prospects of the synergy of this integration through AI.

Cochrane systematic reviews in dentistry: an Altmetric and network analysis.

Introduction Cochrane systematic reviews (CSRs) play an important role in evidence-based decision-making. Therefore, the present study aimed to determine the social impact of CSRs in dentistry and the inclusivity and diversity of researchers contributing to one of the largest databases in health care research.Methodology The Altmetric and bibliometric data for CSRs in dentistry were obtained through Altmetric Explorer and the Dimensions database and were analysed to determine the trends. Furthermore, the correlation between the number of citations and the Altmetric Attention Score (AAS) was identified using Spearman's correlation co-efficient.Results Mendeley was found to be the most active Altmetric resource, followed by Twitter. The tweets were more popular among the members of the public (65.5%) and had a diverse geographic spread. The co-authorship network analysis revealed an overall dense network of researchers. In the co-citation network analysis, the Journal of Community Dentistry had the greatest influence. Moreover, a weaker correlation was noticed between the citation counts and AAS (rs=0.325; p <0.01).Conclusion CSRs had a modest social impact in terms of AAS; however, the social network of contributing researchers was diverse and the researchers affiliated with the University of Manchester, UK were found to have the strongest link.

Análise das redes de colaboração em ações de pesquisa científica e tecnológica sobre maracujá

ABSTRACT: Scientific research on passion fruit has been conducted in several institutions worldwide, and it is of interest to the productive sector, the scientific community, and science and technology managers to learn about current scientific advances and opportunities through metric studies of bibliographic information. A survey of publications indexed in the Web of Science and the Agricultural Research Database-BDPA, in European Patent Office - Espacenet, and Embrapa’s technologies and projects were used as indicators to characterize research networks. This study analyzed the co-authorship and co-citation network of scientific production, the strength of connections among institutions, and a map of co-occurrence of keywords from 2001 to 2020. Brazil, the United States, Colombia, and France had the largest co-authorship networks for Passifloraceae. Brazilian institutions that are in a prominent position in the analysis of co-authorship networks and that produced the largest number of publications were Embrapa, University of São Paulo (USP), and State University of Campinas (Unicamp). The main themes studied were adsorption, antioxidant, clarification, evolution, flavonoid, flowering, growth, and somatic embryogenesis. Patents related to the use of passifloras were highest between 2015 and 2017 and were mainly focused on the production of food, beverages, cosmetics, and medicines. Brazil has relevant bibliographic production and technological development regarding passion fruit for the academic community and rural producers. These results integrated aspects of scientific activity that can help explore new research directions and explain the use and circulation of scientific production.

The evolution of social-ecological systems (SES) research: a co-authorship and co-citation network analysis

The evolution of social-ecological systems (SES) research: a co-authorship and co-citation network analysis

Open access practice in personality research: a bibliometric perspective

The primary aim of this study was to investigate the structure and dynamics of current research in personality psychology, with a particular focus on open access (OA) practices. A set of 57296 research articles in personality psychology indexed in the Scopus database were analyzed based on their online accessibility: closed (39523), green OA (8770), gold OA (4506), bronze OA (2704), and hybrid gold OA (1793). Although the proportion of OA articles in the overall sample was relatively modest (31%), there has been a consistent upward trend since 2012. Notably, the most significant increase was observed in the proportion of gold OA articles, whereas the number of deposited articles (green OA), not otherwise freely available online, experienced a decline. The knowledge domain of non-OA articles in personality psychology can be broadly delineated into five clusters: (Big Five) personality traits, personality disorders, emotion regulation, Dark Triad/Tetrad, and psychometrics. The emergence of COVID-19 as a “hot” research topic resulted with significant differences in the knowledge domain of non-OA and OA articles. Co-authorship network analysis revealed that authors from Western countries act as the central hub in personality research, though this centrality diminishes when only gold OA articles were taken into account. Gold OA articles performed the worst on most impact and outreach metrics except one, significantly surpassed by green OA articles. As a takeaway, it may be said that although you may need a significant amount of money to do the research, you don’t need it to make your research open and make an impact.

Alcohol, cardiovascular disease and industry funding: A co-authorship network analysis of epidemiological studies

IntroductionAlcohol’s effects on cardiovascular disease (CVD) are controversial. Alcohol industry actors have shown particular interest in this subject, and been extensively involved through research funding, and in other ways, generating concerns about bias, particularly in reviews. Material & methodsWe conducted a co-authorship network analysis of the primary studies included within a previous co-authorship study of 60 systematic reviews on the impact of alcohol on CVD. Additionally, we examined the relationships between declared alcohol industry funding and network structure. ResultsThere were 713 unique primary studies with 2832 authors published between 1969 and 2019 located within 229 co-authorship subnetworks. There was industry funding across subnetworks and approximately 8% of all papers declared industry funding. The largest subnetwork dominated, comprising 43% of all authors, with sparse evidence of substantial industry funding. The second largest subnetwork contained approximately 4% of all authors, with largely different industry funders involved. Harvard affiliated authors who at the review level formed co-authorship subnetworks with industry funded authors were seen at the primary study level to belong to the largest epidemiological subnetwork. A small number of key authors make extensive alcohol industry funding declarations. ConclusionsThere was no straightforward relationship between co-authorship network formation and alcohol industry funding of epidemiological studies on alcohol and CVD. More fine-grained attention to patterns of alcohol industry funding and to key nodes may shed further light on how far industry funding may be responsible for conflicting findings on alcohol and CVD.

A Bibliometric Analysis of Educational Research Publications on Lean Manufacturing: Identifying Key Themes and Trends

Abstract Since there is so much empirical research in the field of lean manufacturing, to provide a comprehensive overview of the literature on this subject, a bibliometric analysis was required. Through science mapping and multi-dimensional bibliometric analysis, this study aims to identify common themes in the most-cited research on lean manufacturing. A bibliometric analysis was conducted using VOSviewer, including keyword occurrence, co-authorship network, and bibliometric coupling network analyses. From the 4,648 results in the SCOPUS database search, the 100 most-cited articles were analyzed. The analysis found four research clusters: “lean manufacturing,” “productivity,” “manufacture,” and “value stream mapping.” It was also found that most of the most-cited papers came from journals with a Q1 ranking. Based on these results, scholars work to learn as much as they can about the field. The results are important to researchers because they show how far the research on lean manufacturing has come. As far as the author knows, no other study has been done on bibliometric analysis of the topic. By making a scientific map of what is known about lean manufacturing, this study adds to what is already known.

Bibliometric Analysis of Human Resource Development: Trends, Research Focuses, and Recent Developments

This bibliometric analysis delves into the dynamic landscape of Human Resource Development (HRD) research, exploring trends, collaborative networks, and influential works. Utilizing VOSviewer, we conducted a temporal analysis, co-authorship network analysis, keyword co-occurrence analysis, and citation analysis on a comprehensive dataset from leading databases. Temporal trends reveal an increasing scholarly interest in HRD since the early 2000s. Co-authorship networks unveil collaborative clusters, showcasing influential authors and fostering a collective research agenda. Keyword co-occurrence analysis uncovers interconnected thematic clusters, emphasizing the interdisciplinary nature of HRD. Citation analysis identifies pivotal works shaping HRD scholarship. Integrating these findings provides a holistic understanding of HRD research, offering implications for future endeavors and insights for scholars, practitioners, and policymakers.

Building a fatigue research collaborative: A scientometrics, topic and gap analysis

Background Since fatigue is shared across many conditions, understanding and managing fatigue requires cross-condition collaboration. The current analysis, focusing on fatigue in patients with inflammatory bowel diseases (IBD), aimed to take the first steps towards building such collaboration by identifying potential members, presenting a map of studied topics and remaining gaps, and highlighting potential funders. Methods This study used components of scientometrics, content analysis, systematic review, and gap analysis using four data sources. Results We identified research teams on IBD fatigue in six countries with 23 authors who have published on fatigue in more than one condition, with chronic fatigue syndrome as the dominant topic of interest among the researchers. Crohn’s &amp; Colitis UK and AbbVie were the main funders of research on IBD fatigue. Most publications were observational studies and respectively focused on psychological problems, physical problems, and outcomes (quality of life followed by severity of illness index) associated with IBD fatigue. A triad with King’s College London + Crohn’s &amp; Colitis UK + University College London was the main active research network. In co-authorship network analysis, the collaboration across countries was more visible in a wired or star-shaped network with multiple core points; however, the collaboration in the largest cluster showed a neuron- or loop-shaped collaboration across the most active institutes. Conclusions This research took a mixed methods approach to initiating a collaboration by identifying members and building a map of recent research and gaps in order to tackle fatigue as a complex, cross-condition, and multi-disciplinary problem. Interventional and qualitative studies, along with systematic reviews to fill the research gaps, are needed. An international collaboration among institutes could provide support for large initiatives such as the release of standards of best practice, clinical practice guidelines, and consensus-based definitions of fatigue.

A Comparative Analysis of Social Entrepreneurship and Entrepreneurship: An Examination of International Co-Authorship Networks

This study aimed to identify the boundaries between social entrepreneurship and entrepreneurship research through conducting a comparative analysis of international co-authorship networks. Analyzing 29,510 papers published in the Web of Science database from 1999 to 2021, this study utilized bibliometric analysis to examine international co-authorship networks, the strength of international co-authorship, and the top collaborative and collaborating countries. The results found that based on quantitative analysis, social entrepreneurship research focuses more on local challenges and less on international collaboration as compared to entrepreneurship research. Moreover, the findings reveal the involvement of developed countries in the international co-authorship for social entrepreneurship research field. This study sheds light on the characteristics of social entrepreneurship research, which focuses on local and regional challenges. Contrastingly, entrepreneurship research focuses on the globalized field while sharing information and technology. These insights could benefit researchers, practitioners, and educators in prioritizing globalization in entrepreneurship and localization in social entrepreneurship.

Exploring international collaboration and language dynamics in Digital Humanities: insights from co-authorship networks in canonical journals

PurposeThis paper presents a follow-on study that quantifies geolingual markers and their apparent connection with authorship collaboration patterns in canonical Digital Humanities (DH) journals. In particular, it seeks to detect patterns in authors' countries of work and languages in co-authorship networks.Design/methodology/approachThrough an in-depth co-authorship network analysis, this study analysed bibliometric data from three canonical DH journals over a range of 52 years (1966–2017). The results are presented as visualised networks with centrality calculations.FindingsThe results suggest that while DH scholars may not collaborate as frequently as those in other disciplines, when they do so their collaborations tend to be more international than in many Science and Engineering, and Social Sciences disciplines. DH authors in some countries (e.g. Spain, Finland, Australia, Canada, and the UK) have the highest international co-author rates, while others have high national co-author rates but low international rates (e.g. Japan, the USA, and France).Originality/valueThis study is the first DH co-authorship network study that explores the apparent connection between language and collaboration patterns in DH. It contributes to ongoing debates about diversity, representation, and multilingualism in DH and academic publishing more widely.