Citation Network Analysis Research Articles

Application of 3D printing in the treatment of diabetic foot ulcers: current status and new insights

Background and AimsDiabetic foot ulcers (DFUs) are a serious complication of diabetes mellitus (DM), affecting around 25% of individuals with DM. Primary treatment of a DFU involves wound off-loading, surgical debridement, dressings to provide a moist wound environment, vascular assessment, and appropriate antibiotics through a multidisciplinary approach. Three-dimensional (3D) printing technology is considered an innovative tool for the management of DFUs. The utilization of 3D printing technology in the treatment of DFU involves the modernization of traditional methods and the exploration of new techniques. This review discusses recent advancements in 3D printing technology for the application of DFU care, and the development of personalized interventions for the treatment of DFUs.MethodsWe searched the electronic database for the years 2019–2024. Studies related to the use of 3D printing technology in Diabetic foot were included.ResultsA total of 25 identified articles based on database search and citation network analysis. After removing duplicates, 18 articles remained, and three articles that did not meet the inclusion criteria were removed after reading the title/abstract. A total of 97 relevant articles were included during the reading of references. In total, 112 articles were included.Conclusion3D printing technology offers unparalleled advantages, particularly in the realm of personalized treatment. The amalgamation of traditional treatment methods with 3D printing has yielded favorable outcomes in decelerating the progression of DFUs and facilitating wound healing. However, there is a limited body of research regarding the utilization of 3D printing technology in the domain of DFUs.

Mapping The Growth of ESG Research: A Bibliometric Analysis Using Bradford's, Lotka's, and Zipf's Laws

Objective: The objective of this study is to investigate the growth and development of research on Environmental, Social, and Governance (ESG) factors using bibliometric analysis. The aim is to understand the publication trends in ESG research and identify influential authors, key themes, and opportunities for future studies. Theoretical Framework: The research is grounded in key bibliometric laws such as Bradford's law (journal productivity), Lotka's law (scientific productivity of authors), and Zipf's law (word frequency analysis). These laws form the basis of the study and provide a solid framework for understanding the evolution of ESG research. Method: This study adopts a bibliometric analysis approach, using data from the Web of Science and Scopus databases. A total of 699 articles from 345 journals and 1,574 authors were analyzed. Techniques like citation analysis, co-citation analysis, bibliographic coupling, and network analysis were employed to assess publication patterns and collaborations. Data was processed using R software and Bibliometrix. Results and Discussion: The results reveal a significant increase in ESG-related publications, particularly after 2013, with annual growth of 39.97%. The study identifies influential authors, such as Hebbe and Buallay, and explores the themes of sustainability, corporate social responsibility, and governance. In the discussion, the results are contextualized within the broader ESG framework, highlighting the role of ESG in corporate behavior and investment strategies. Research Implications: The study provides insights into how ESG research can inform policy-making and corporate decision-making. The findings highlight the importance of ESG factors in sustainable development and suggest future research avenues in areas like digital transformation, entrepreneurship, and innovation. Originality/Value: This study contributes to the literature by offering a comprehensive overview of ESG research, utilizing innovative bibliometric techniques to track its evolution. The originality lies in the use of multiple bibliometric laws to analyze ESG trends, making it valuable for researchers and practitioners looking to understand current and future directions in ESG.

Bibliometric Insights into the "Kathmandu School of Law Review"

This bibliometric study analyzes the academic reach, thematic focus, and collaboration trends of the Kathmandu School of Law Review (KSLR). Through keyword analysis, the research highlights recurring themes such as human rights, governance, policy-making, and development, reflecting a multidisciplinary approach to legal scholarship. Visualizations of co-authorship networks reveal limited collaboration among scholars, suggesting opportunities for the journal to foster joint publications and interdisciplinary partnerships. Citation network analysis indicates a niche area of research with a few central authors like Puja Mitra and Yubaraj Sangroula, while the low overall citation count points to the need for broader academic engagement and visibility. Bibliographic coupling maps show emerging research clusters, indicating the potential for KSLR to build authority in key areas such as South Asian legal systems and international human rights. The study concludes with recommendations for KSLR to increase global outreach, promote interdisciplinary studies, and enhance academic collaboration to strengthen its impact within and beyond the region.

A sociotechnical history of an AI video chatbot: Mapping AI chatbot innovation trajectory for information policy design

This study traces the patent citation network of U.S. Patent 11,107,465 Natural Conversation Storytelling System (Gustman et al, 2021) to map the innovation trajectory of AI Chatbots. This patented AI video chatbot enables the reanimation or digital resurrection of humans in video form. As GLAMs continue to experiment with new technologies such as historical figure chatbots to increase engagement through gamification and empathy, a critical examination of technologies that are designed to appear human-like is warranted as they often skirt credibility, accuracy, and likely insert bias. Furthermore, the rise of generative AI tools and the propensity for producing hallucinations (Christensen et al, 2024) increases ethical issues for the implications on humans and truth (Ranalli, 2022; Stahl and Eke, 2024). Patent citation network analysis is frequently conducted as a competitive strategy for mapping the trajectory of technological development and patented inventions (Érdi et al, 2013; Jain et al, 2020). Drawing from this method, innovation trajectory routes or pathways will be traced through the patent citations to identify the most prominent or critical patents in the AI video chatbot innovation trajectory and analyze which features of technical innovation are retained across its pathway. These methods are frequently utilized to understand changes, patterns, and development in innovation to predict economically viable futures and can be utilized to predict the needs for information policy (Frohmann, 1995) by understanding the implications asymmetrical power on society.

The disruption index is biased by citation inflation

Abstract A recent analysis of scientific publication and patent citation networks by Park et al. (Nature, 2023) suggests that publications and patents are becoming less disruptive over time. Here we show that the reported decrease in disruptiveness is an artifact of systematic shifts in the structure of citation networks unrelated to innovation system capacity. Instead, the decline is attributable to ‘citation inflation’, an unavoidable characteristic of real citation networks that manifests as a systematic time-dependent bias and renders cross-temporal analysis challenging. One driver of citation inflation is the ever-increasing lengths of reference lists over time, which in turn increases the density of links in citation networks, and causes the disruption index to converge to 0. The impact of this systematic bias further stymies efforts to correlate disruption to other measures that are also time-dependent, such as team size and citation counts. In order to demonstrate this fundamental measurement problem, we present three complementary lines of critique (deductive, empirical and computational modeling), and also make available an ensemble of synthetic citation networks that can be used to test alternative citation-based indices for systematic bias. Peer Review https://www.webofscience.com/api/gateway/wos/peer-review/10.1162/qss_a_00333

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.

A systematic review and guide for using multi-response statistical models in co-infection research.

The simultaneous infection of organisms with two or more co-occurring pathogens, otherwise known as co-infections, concomitant infections or multiple infections, plays a significant role in the dynamics and consequences of infectious diseases in both humans and animals. To understand co-infections, ecologists and epidemiologists rely on models capable of accommodating multiple response variables. However, given the diversity of available approaches, choosing a model that is suitable for drawing meaningful conclusions from observational data is not a straightforward task. To provide clearer guidance for statistical model use in co-infection research, we conducted a systematic review to (i) understand the breadth of study goals and host-pathogen systems being pursued with multi-response models and (ii) determine the degree of crossover of knowledge among disciplines. In total, we identified 69 peer-reviewed primary studies that jointly measured infection patterns with two or more pathogens of humans or animals in natural environments. We found stark divisions in research objectives and methods among different disciplines, suggesting that cross-disciplinary insights into co-infection patterns and processes for different human and animal contexts are currently limited. Citation network analysis also revealed limited knowledge exchange between ecology and epidemiology. These findings collectively highlight the need for greater interdisciplinary collaboration for improving disease management.

A study of Islamic banking and finance for interest-free investors: A bibliometric analysis

Islamic banking is one of the fastest-growing sectors of the financial industry. Several works have been written in this field, but none attempt to learn the entire Islamic banking and financial system. Furthermore, the study could not locate any publications investigating the conceptual and intellectual foundations of this emerging field of inquiry. The current study uses bibliometric methodologies to assess the current state of Islamic banking, financial research, and the upcoming trends. For the people who choose interest-free investments, the current research examines a conceptual research context on Islamic banking and finance at various planning and decision-making stages. One thousand research studies appearing in scholarly journals between 2005 and 2023 were reviewed for the purpose. In order to examine the works on Islamic banking and finance, bibliometric techniques were used, including analysis of citation network, content, co-citation, keyword, and publishing trends. By suggesting thirteen clusters, to enhance research on Islamic banking and finance to help interest-free investors learn more, the goal of the research is to promote the body of knowledge. The field of Islamic banking and finance has grown from a young lot to a prominent teaching and research tool. Investigating and identifying current research trends in this area is crucial. As institutions and society are placing more emphasis on Islamic banking to raise individual citizens’ responsibilities in developing interest-free investing strategies, the findings are crucial to the community of interest-free financiers. Further research urges with the studies not restricted to a thousand researches only.

Theory of mind and executive functioning in children:Scientific mapping and literature review using citation network analysis

Numerosos estudios han analizado la Teoría de la Mente (ToM) y el Funcionamiento Ejecutivo (FE) en población infantil. Sin embargo, los hallazgos respecto al desarrollo y relación entre ToM y FE en niños no son concluyentes al considerar las variaciones en el neurodesarrollo típico y alterado. El objetivo de este estudio fue analizar la producción científica y evidencia empírica sobre la relación entre el desempeño en ToM y FE en niños y su incidencia en el desarrollo neurotípico, el trastorno de déficit de atención e hiperactividad y el trastorno del espectro autista. Se trató de un estudio bibliométrico basado en la teoría de grafos. La búsqueda documental se hizo en la Web of Science y se utilizó bibliometrix, Sci2 Tool y Gephi para los distintos análisis. Los hallazgos indican que niños con TDAH presentan un menor desempeño en tareas de control inhibitorio en comparación con niños con desarrollo típico. Así mismo, se reportó que la memoria de trabajo y el control inhibitorio predicen el rendimiento de niños con TDAH, TEA y DT en tareas de falsas creencias. Sin embargo, los niños con TEA presentan un déficit en el rendimiento de tareas de ToM en comparación con los demás grupos. Finalmente, se halló que la FE se correlaciona directamente con la ToM en niños con desarrollo típico de distintas características sociales (e.g bajo nivel socioeconómico). Esto hallazgos son relevantes porque ayudan a comprender mejor los mecanismos cognitivo-sociales y neuropsicológicos vinculados al neurodesarrollo infantil.

Co-factor analysis of citation networks

One compelling use of citation networks is to characterize papers by their relationships to the surrounding literature. We propose a method to characterize papers by embedding them into two distinct “co-factor” spaces: one describing how papers send citations, and the other describing how papers receive citations. This approach presents several challenges. First, older documents cannot cite newer documents, and thus it is not clear that co-factors are even identifiable. We resolve this challenge by developing a co-factor model for asymmetric adjacency matrices with missing lower triangles and showing that identification is possible. We then frame estimation as a matrix completion problem and develop a specialized implementation of matrix completion because prior implementations are memory bound in our setting. Simulations show that our estimator has promising finite sample properties, and that naive approaches fail to recover latent co-factor structure. We leverage our estimator to investigate 255,780 papers published in statistics journals from 1898 to 2024, resulting in the most comprehensive topic model of the statistics literature to date. We find interpretable co-factors corresponding to many statistical subfields, including time series, variable selection, spatial methods, graphical models, GLM(M)s, causal inference, multiple testing, quantile regression, semiparametrics, dimension reduction, and several more.

A bibliometric and citation network analysis of crosslinking.

Purpose: Research on crosslinking has focused mainly on trying to slow the progression of keratoconus. The objective of this bibliometric analysis is to determine the relationships between the different publications and authors. As well as to identify the different areas of research on crosslinking. Methods: Web of Science (WOS) was the database for the search of publications for the period 1972 to December 2023, using the terms: crosslinking, cross-linking, ocular, vision, visual, cornea, ectasia AND Keratoconus. The analysis of the publication was performed using the CitNetExplorer, VOSviewer and CiteSpace software. Results: 7161 publications and 59415 citation networks were found. The year with the most publications is 2021, a total of 571 (7.97%) publications and 135 citation networks. The most cited publication was "Riboflavin/ultraviolet-a-induced collagen crosslinking for the treatment of keratoconus" published by Wollensak et al. in 2003, with a citation index of 1780. Using the Clustering function, five groups were found that cover the main research areas in this field: keratoconus, corneal transplantation, cataracts, corneal inflammation and axial growth. Conclusion: The treatment of keratoconus continues to be the topic of interest in this area of research. However, in recent years there has been an increase in research on how crosslinking helps to slow down axial growth.

20 years of critical HRD scholarship development: citation and authorship network analysis

ABSTRACT Appreciating the contribution of critical human resource development (CHRD) scholarship to raise critical perspectives and practices in HRD, this study explored the development of CHRD scholarship over 20 years (2003–2022) using social network analysis (SNA), particularly focusing on analysing citation and authorship networks in CHRD journal articles. In doing so, this study identified influential CHRD authors, articles, and the structure of CHRD authorship communities – eight connected core groups and many disconnected periphery groups. Further, the CHRD authorship networks were explored and visualised on a five-year basis. The analysis results identified that particular core members, largely White women scholars working in the US or UK, led the CHRD scholarship. Also, community groupings and each community’s key themes were found to be related to the national locations of the authors’ affiliated institutions. Additionally, this study found a recent shift of CHRD scholarship towards smaller, more cohesive communities within the larger network. Based on the findings, this study provides theoretical and practical implications and concludes with a call for building inclusive CHRD scholarship networks.

Infectious disease research in the Association of Southeast Asian Nations region: a scientometric analysis.

This study compared the research output of Association of Southeast Asian Nations (ASEAN) countries to understand research trends and clarify past, present, and future patterns using scientometric techniques. This scientometric study systematically mined health and social science publications from the Web of Science and Scopus databases using keywords associated with infectious disease. The analysis included only English-language articles and review articles by authors from any ASEAN country. Publication, citation, and text co-occurrence network analyses were performed. R Studio and VOSviewer enabled data management, analysis, and visualization. Searches identified 12,511 articles published between 1925 and 2022, with a notable increase in research publications since 2003. The leading journals on infectious disease were associated with established publishing houses, including BMC, BMJ, and The Lancet. The most-cited articles were primarily global burden of disease studies, with 7,367 citations. Among ASEAN countries, Thailand, Malaysia, and Singapore had the most publications and collaborative efforts on the topic. Analysis of keyword co-occurrence revealed clusters related to global health, dengue, bacterial studies, non-dengue viral topics, and diagnostics. Most early studies examined diagnostics, gene and sequencing methodologies, and virology; later, the focus shifted toward herbal and alternative medicine. Recently, the research capacity of Southeast Asia has expanded dramatically, with substantial contributions from high-income countries. Intense cooperation between member states is essential, emphasizing the role of HICs in supporting their neighbors. Increased research efforts and collaboration must be dedicated to innovative approaches to combat persistent health conditions, along with emerging issues like climate change.

A Systematic Literature Review on Urban Logistic in A Sharing Economy

The sharing economy is fundamentally transforming urban logistics, presenting both opportunities and challenges. This systematic literature review investigates the key research themes and methodologies employed in studying this dynamic field. We conducted a comprehensive search in corpus analysing numbers of peer-reviewed articles to address what is the main topics and challenges explored in urban logistics within the sharing economy and how this research methodologies related to this main topic. The paper discusses the main evidence emerging from a systematic literature review (SLR) on urban logistics. The corpus resulting from the SLR has been used to perform a citation network analysis and a main path analysis that together underpin the identification of the most investigated topics and methodologies in the field. Through the analysis of a corpus of 109 articles, our findings reveal that urban logistics in the sharing economy faces several prominent challenges, including traffic congestion, pollution, and last-mile delivery. Studies consistently emphasize the crucial role of technology in addressing these issues, highlighting innovations such as route optimization, real-time tracking, and alternative delivery methods. Furthermore, we identified the growing importance of policy interventions in promoting sustainable and efficient practices. Studies explored the implementation of measures like congestion pricing and urban logistics zones, reporting positive outcomes such as improved traffic flow, reduced emissions, and optimized use of urban logistics spaces. This systematic review contributes significantly to the field of urban logistics in the sharing economy in identifying key thematic areas and highlighting their specific relevance to the sharing economy context. By doing so, it will offer valuable insights and recommendations for future research, emphasizing the need for further exploration of the long-term impacts of technological innovations and policy interventions, as well as the integration of diverse methodological approaches for a comprehensive understanding of this complex and evolving field.

Citation network analysis for viewpoint plurality assessment of historical corpora: The case of the medieval rabbinic literature.

Citation networks enable analysis of author groups, defining in-group dynamics, and mapping out inter-group relationships. While intellectual diversity and inclusiveness is one of the important principles of modern scholarship, it is intriguing to explore the extent to which these principles apply to historical communities of leaders and intellectuals. This paper introduces a novel methodological framework aimed at assessing the degree of viewpoint plurality and diversity of historical scholarship communities, through an in-depth analysis of the citations used in their literature, which has become possible due to the recently developed advanced computational analysis techniques. To achieve this goal, we have devised a set of new network-based indicators grounded in standard network metrics. These indicators can be applied at both the individual author and community levels. The developed methodology was applied to a citation network automatically constructed from a corpus of Rabbinic Halachic literature spanning the 10th to 15th centuries. This corpus includes over 5,000 citations from hundreds of books authored by approximately 140 Rabbinic scholars from six diverse geographic communities. We found that most of the authors and communities cite many more external resources from other communities than their own reflecting a willingness to engage with a diverse range of viewpoints. A more in-depth analysis based on the novel proportional diversity measures unveils more intriguing insights. Contrary to expectations, communities with the greatest number of external citations, such as Spain and Ashkenaz, surprisingly exhibit lower levels of viewpoint plurality compared to others, such as Italy and North Africa, elucidating a key finding of the study.

Citation network analysis of retractions in molecular biology field

Citation network analysis of retractions in molecular biology field

A career in numbers: A citation network analysis of the work of RP Millar and his contribution to GnRH research.

Here, we reflect on the long career in neuroendocrinology of a single, highly productive scientist ('Bob' Millar), by analysing his oeuvre of published papers through the lens of citation metrics. We use citation network analysis in a novel manner to identify the specific topics to which his papers have made a particular contribution, allowing us to compare the citations of his papers with those of contemporary papers on the same topic, rather than on the same broad field as generally used to normalise citations. It appears that citation rates are highest for topics on which Bob has published a relatively large number of papers that have become core to a tightly-knit community of authors that cite each other. This analysis shows that an author's impact depends on the existence of a receptive community that is alert to the potential utility of papers from that author, and which uses, amplifies, extends and qualifies the contents of their papers-activities that entail reciprocal citation between authors. The obvious conclusion is that a scientist's impact depends on the use that his or her contemporaries make of his or her contributions, rather than on the contributions in themselves.

Islamic Finance Transformation: A Bibliometric Analysis

This research paper aims to comprehensively examine the evolution, themes, and trends within Islamic finance transformation. This study used bibliometric analysis in biblioshiny R-Studio to collect and analyze relevant scholarly sources. We perform citation network analysis, co-authorship analysis, and keyword co-occurrence analysis to identify the intellectual structure in Islamic finance transformation. We found that Malaysia is the most outstanding country in this topic, the Journal of Islamic Accounting and Business Research is the most outstanding journal, and International Islamic University Malaysia is the most outstanding affiliation. Our study also reveals a notable increase in publications on Islamic finance transformation over the past decade, indicating growing interest. Key themes identified include fintech, regulatory frameworks, ethics, and Islamic-conventional finance integration. We highlight influential scholars and journals shaping the field, showcasing its multidisciplinary nature. This research offers a comprehensive overview of Islamic finance transformation literature, synthesizing themes and highlighting ongoing research areas. The bibliometric analysis provides quantitative insights into influential works and scholars, serving as a valuable resource for researchers, policymakers, and practitioners navigating the evolving landscape of Islamic finance.

Exploring the Relevant Factors of Willingness to Communicate (WTC) in Language Learning—A Systematic and Bibliometric Approach

Recent years have witnessed a surge of interest in learners’ Willingness to Communicate (WTC) within the L2 learning environment. This study aims to explore current trends, remarkable subjects, influential authors, sources and interplay of WTC variables in L2 learning from 1985 to 2023. A total of 259 articles were selected through PRISMA for the visualization of VOSviewer, and 221 publications for the citation network analysis with CitNetExplorer. The findings revealed 3 major variables with the capacity to influence WTC: individual traits, teachers’ roles, and learning environments. Prominent themes include the rising trend of positive psychology, the importance of motivation, confidence, attitudes, the application of teacher immediacy and WTC in L2 learning. The study also highlights the significance of considering peer and cultural factors in future research. By providing a rigorous overview of the literature, this study contributes valuable insights into the current state of WTC in L2 learning education.

Mapping Geomedia Studies: Origins, Trajectories, and Future Directions

This article explores the formation of and future avenues for geomedia studies. Drawing on a citation network analysis, we map the development of the interdisciplinary research terrain from its origins and identify central citation clusters. The term “geomedia” has been used in the humanities and social sciences since at least the early 2010s. Subsequently, geomedia studies have been advanced through an interdisciplinary scholarship from human geography, media and communication studies, and other related research areas, assessing the increasingly complex interplay between media technologies and the production of space. To detect the origins and growth of geomedia studies as an emerging field, we conduct a bibliographic citation and keyword analysis of 57 references from the Web of Science core collection. The generated charts and network graphs reveal that research on geomedia has mainly evolved within media and communication studies. A citation cluster analysis shows how two sub-communities and approaches have emerged, tentatively called “visual geomedia studies” and “urban-sociological geomedia studies.” A keyword cluster analysis reveals how the approaches are entangled with different theoretical perspectives. Given the societal relevance and the growing vitality of present-day geomedia studies, this article discusses the prospects of both approaches.