Co-authorship Network Analysis Research Articles

Insights and networks: methodological assessment and scientometric analysis of economic evaluations in dentistry

IntroductionAssessing the methodological quality of economic evaluations (EEs) is crucial for evidence-based decision-making. The study aimed to evaluate EEs in restorative dentistry and endodontics, while also analyzing the scientific landscape of researchers and publications through co-authorship and citation network analysis providing an insight into the distribution of scientific expertise.MethodologyA systematic search for relevant articles from 2012 to 2022 was conducted using PubMed, Scopus, and EBSCO. The ten-point Drummond checklist was used to appraise the methodological quality of included studies. Bibliometric data for network analysis were extracted from the Dimensions database and visualized using VOSviewer software.ResultsOf the 37 articles, 81.08% scored good, 16.21% average, and 2.7% poor on the methodological rating scale. Most of the included studies were in Q1 journals, with limited representation in Q2 and Q3 journals. Compliance was highest in Q2 journals (95%), followed by Q1 (88.36%), while it dropped to 40% for Q3 journals. Co-authorship analysis revealed a dense network of researchers, with Prof. Falk Schwendicke V. having a significant influence. Moreover, the Journal of Dentistry had the highest impact, followed by Journal of Endodontics and BMC Oral Health.ConclusionsDespite a diverse scientific landscape, participation from developing countries was limited emphasizing the need for inclusivity and diversity in the scientific network. While the quantity of good-quality studies was encouraging, the overall quality of evidence remains paramount for decision-making in healthcare policy and practice. Therefore, continuous efforts to improve methodological rigor and reporting practices are essential to contribute robust evidence.

Bibliometric Analysis of the Development of Entrepreneurial Ecosystem Research in Global Publications

This study conducts a comprehensive bibliometric analysis of the field of entrepreneurial ecosystems, mapping the evolving landscape of research from 1995 to 2024. Utilizing VOSviewer for visual network analysis, the research identifies central themes, examines co-authorship and institutional collaboration networks, and highlights the temporal progression of key topics. The findings reveal "entrepreneurial ecosystem" as a nexus connecting diverse research themes such as innovation, economic growth, and sustainability. Significant emphasis is placed on the integration of digital technologies and sustainability within entrepreneurial practices, reflecting shifting academic and practical priorities. The analysis of co-authorship networks shows robust collaboration among leading scholars and institutions, predominantly from Western regions, with increasing contributions from a global cohort. The study underscores the importance of incorporating diverse perspectives to fully understand the multifaceted nature of entrepreneurial ecosystems and suggests future research directions focusing on digital transformation and sustainability in entrepreneurship.

The Role of Innovation Management in Creative Economy-Based Product Development in West Java Province

This study conducts a comprehensive bibliometric analysis of the field of entrepreneurial ecosystems, mapping the evolving landscape of research from 1995 to 2024. Utilizing VOSviewer for visual network analysis, the research identifies central themes, examines co-authorship and institutional collaboration networks, and highlights the temporal progression of key topics. The findings reveal "entrepreneurial ecosystem" as a nexus connecting diverse research themes such as innovation, economic growth, and sustainability. Significant emphasis is placed on the integration of digital technologies and sustainability within entrepreneurial practices, reflecting shifting academic and practical priorities. The analysis of co-authorship networks shows robust collaboration among leading scholars and institutions, predominantly from Western regions, with increasing contributions from a global cohort. The study underscores the importance of incorporating diverse perspectives to fully understand the multifaceted nature of entrepreneurial ecosystems and suggests future research directions focusing on digital transformation and sustainability in entrepreneurship.

Knowledge Mapping and Global Trends in the Field of the Objective Structured Clinical Examination: Bibliometric and Visual Analysis (2004-2023).

The Objective Structured Clinical Examination (OSCE) is a pivotal tool for assessing health care professionals and plays an integral role in medical education. This study aims to map the bibliometric landscape of OSCE research, highlighting trends and key influencers. A comprehensive literature search was conducted for materials related to OSCE from January 2004 to December 2023, using the Web of Science Core Collection database. Bibliometric analysis and visualization were performed with VOSviewer and CiteSpace software tools. Our analysis indicates a consistent increase in OSCE-related publications over the study period, with a notable surge after 2019, culminating in a peak of activity in 2021. The United States emerged as a significant contributor, responsible for 30.86% (1626/5268) of total publications and amassing 44,051 citations. Coauthorship network analysis highlighted robust collaborations, particularly between the United States and the United Kingdom. Leading journals in this domain-BMC Medical Education, Medical Education, Academic Medicine, and Medical Teacher-featured the highest volume of papers, while The Lancet garnered substantial citations, reflecting its high impact factor (to be verified for accuracy). Prominent authors in the field include Sondra Zabar, Debra Pugh, Timothy J Wood, and Susan Humphrey-Murto, with Ronaldo M Harden, Brian D Hodges, and George E Miller being the most cited. The analysis of key research terms revealed a focus on "education," "performance," "competence," and "skills," indicating these are central themes in OSCE research. The study underscores a dynamic expansion in OSCE research and international collaboration, spotlighting influential countries, institutions, authors, and journals. These elements are instrumental in steering the evolution of medical education assessment practices and suggest a trajectory for future research endeavors. Future work should consider the implications of these findings for medical education and the potential areas for further investigation, particularly in underrepresented regions or emerging competencies in health care training.

The relationship between coauthorship and the research impact of medical doctoral students: A social capital perspective

Research impact is an important manifestation of research competence and the focus of medical education. This study is dedicated to exploring the relationships between coauthorship networks and the research impact of Chinese medical doctoral students from a social capital perspective. A total of 16291 scientific papers from 237 doctoral students and 126 mentors at Chinese universities were selected from databases, and a study dataset including 19 variables was constructed. Nine independent variables were defined and obtained through coauthorship network analysis, and the doctoral students’ research impact, as the only dependent variable, was used to test the hypothesized relationships among the variables. The results show that the betweenness centrality, student-mentor coauthorship count and the partnership ability index significantly affect the h-index. Specifically, the coauthorship unit count plays the most important role in developing centrality, which, in turn, produces a higher h-index. In addition, betweenness centrality, student–mentor coauthorship count and the partnership ability index are good predictors of the likelihood of doctoral students entering the greater research impact group and especially improving their betweenness centrality. Specifically, doctoral students whose partnership ability index is greater than 2, student-mentor coauthorship count is greater than 4, coauthorship unit count is greater than 6, and betweenness centrality is greater than 0.02 are considered to have greater research impact. These findings suggest that the important roles of cooperation in the development of research competence and good mentorship in the acquisition of social capital by doctoral students should be emphasized. Several strategies are advised for harnessing social capital rooted in doctoral students’ coauthorship network for relevant organizations, mentors and doctoral students who want to increase medical doctoral students’ research impact.

Exploring Trends in Sports Event Research (2014–2023): A Bibliometric Analysis

This study provides a comprehensive bibliometric analysis of sports event research from 2014 to 2023, using data from the Web of Science database. The research examines key trends, influential publications, prolific authors, and prevailing themes in the field. This study identifies the core areas of focus and emerging trends in sports event management, sustainability, and economic impacts through a detailed analysis of citations, co-authorship networks, and keyword co-occurrence. The results offer insights for researchers and practitioners interested in advancing knowledge in sports event planning, management, and legacy.

"Academic Influence and Industry Funding in Nerve Allograft Research: A Co-Authorship Network Analysis".

Clinical use of acellular nerve allografts is rapidly increasing despite limited high-quality, comparative evidence of superiority. Simultaneously, non-research payments to clinicians by the nerve allograft industry exceeds $14,000,000 over the last decade. In this study, the authors hypothesized that nerve allograft-related academic influence would correlate with industry funding. PubMed studies on nerve allografts in plastic and reconstructive surgery journals were reviewed. Using author lists from extracted studies, a co-authorship network was generated and degree centralities - quantitative measurements of influence within a network - were calculated. Open Payments data from the nerve allograft industry was summated for each author. Finally, Pearson correlation and linear regression were used to analyze the relationship between centrality and payments received. 185 studies were included, with 581 unique authors (nodes) and 2,406 co-authorships (ties) between them. Among authors with exceptional network influence (centrality >10, 75th percentile; n=113), 56 were clinicians with valid NPIs and therefore eligible for inclusion in the Open Payments database. 44 (79%) of these authors received at least one payment from the industry. Pearson correlation revealed a moderate (0.4<r<0.6) positive correlation between centrality and payments received (r=0.51, p<0.001). Linear regression demonstrated an estimated 16% increase in total pay per additional unit of centrality (p<0.001; 95% CI [8%, 25%]). There is a significant connection between academic influence and financial support from the nerve allograft industry. Such results warrant discussion concerning conflicts of interest in clinical research and best practices for mitigating potential bias related to commercially backed treatments.

Hospital Performance and Operational Management: A Bibliometric Review of Key Factors Affecting Effectiveness

This study employs bibliometric and co-authorship network analyses to investigate the landscape of research in hospital performance and operational management. Using VOSviewer, key themes were visualized to depict the concentration and evolution of research areas from technology integration to quality management within healthcare settings. The study identifies central researchers and maps collaborative networks, revealing both densely interconnected groups and isolated researchers. Practical implications are discussed for academic researchers, hospital administrators, and policymakers, highlighting areas for strategic development and potential collaboration. Limitations such as selection bias and the exclusion of qualitative impact underscore the need for cautious interpretation of the results. The study provides a foundational tool for stakeholders to understand the current research environment and to guide future healthcare management practices effectively.

Post-Pandemic Hybrid Learning Trends in Higher Education and its Implications in Students’ Academic Performance

This study used a systematic literature review and a bibliometric analysis to establish publication trends, key researchers, collaborative networks, thematic focus and effective strategies associated with hybrid learning environments in higher education. The study concentrated on the SCOPUS database using terms related to hybrid and online learning, academic performance and COVID-19, covering records within a specific period, using the PRISMA guidelines. The study used the bibliometric analysis through VOSviewer, revealing patterns in collaborative relationships and thematic trends. The study established that academic interest in hybrid, blended, online and virtual learning increased from the year 2020 to the year 2024 rising from nine in 2020 to 57 in 2023. The co-authorship network analysis revealed a collaborative research community, showing the existence of interdisciplinary and inter-institutional partnerships in advancing research and developing comprehensive insights into educational outcomes in hybrid learning environments. Co-citation analysis identifies influential authors and distinct thematic clusters. The co-occurrence map highlighted interconnected themes related to mental health, strategic adoption of distance learning and students’ satisfaction. The study recommends that researchers should prioritize ongoing research within hybrid, blended, online and virtual learning environments to respond to evolving educational landscapes and recommend research-based learning strategies. For effective and innovative knowledge sharing, there is a need for interdisciplinary and inter-institutional research collaboration through joint projects, conferences and publication platforms.

Research Landscape of Filipino Mathematicians: a Co-authorship Network Analysis

Research collaboration presents solutions to various problems that independent researchers might encounter; however, establishing collaboration also poses challenges for most of these researchers. In this study, we created a co-authorship network map of Filipino mathematicians using Elsevier's Scopus database and identified the top five institutions with the largest number of Filipino mathematicians, each with at least one publication in Scopus. We found that among the top three institutions, collaborations rarely occur, with less than 1% distinct inter-institutional collaborations. Various network analysis metrics were performed on the map to establish a baseline for future co-authorship network research. Mathematicians were ranked using both the PageRank algorithm and betweenness centrality to highlight important and bridging figures, respectively. We found that while Canoy SR of Mindanao State University-Iligan Institute of Technology (k = 61), Corcino RB of Cebu Normal University (k = 39), and Mendoza ER of De La Salle University (k = 27) have notable contributions, the University of the Philippines Diliman (UPD) stands out with the most mathematicians having k ≥ 10, where k is the measure of degree centrality. The Leiden community detection algorithm was employed to cluster the network map, revealing 183 distinct clusters – indicating the number of cliques, which are small, exclusive research groups. This highlights the need to strengthen collaborative efforts among Philippine institutions. Interestingly, we found that UPD encompasses a broad range of mathematics research, indicating the potential to serve as a bridge connecting different subject areas. By illustrating the research landscape, this study sheds light on Filipino mathematicians' research, contributing to the enhancement of mathematics research productivity and collaboration in the country.

Research Trends on Writing Skill in Arabic Language; A Bibliometric Analysis

This study examines the trends in research on Arabic writing skills from 2011 to 2024 using a bibliometric approach. Data from 32 Scopus-indexed publications were analyzed to identify citation trends, geographical distribution, journal rankings, and research focuses. Data collection techniques included comprehensive searches in bibliographic databases, and data analysis was conducted using bibliometric methods such as citation analysis and co-authorship network analysis. The results show a significant increase in related publications, highlighting the importance of communicative approaches and international collaboration in enhancing writing skills. Specifically, the highest number of cited publications (NCP) occurred in 2020, with an NCP of 6. The highest number of citations from 2011 to 2024 was recorded in 2020, reaching 28. Additionally, 2020 had the highest number of publications, totaling 7, indicating a significant impact of research during that year. Saudi Arabia is the most significant country in research related to writing skills in Arabic. Furthermore, the study categorizes research focuses into three main clusters: students, e-learning, and supporting technologies for Arabic language learning. These insights provide a valuable framework for educators and researchers, guiding future research directions and developing more effective and inclusive teaching methodologies that cater to diverse learning needs. The study concludes that fostering international collaboration and leveraging advanced technologies are essential for the continued enhancement of Arabic writing skills education, ensuring that learners are well-equipped to meet contemporary challenges and advancing the field in a meaningful way.

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 &lt;i&gt;Chemistry and Chemical Engineering&lt;/i&gt; 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.