Citation Impact Research Articles

ABSTRACT Aim This study aimed to provide a comprehensive bibliometric analysis of retinoblastoma treatment, assessing publication trends, influential research, and leading contributors. Methods The research was conducted using the Web of Science Core Collection, focusing on retinoblastoma treatment from January 1, 1941, to June 13, 2024. Bibliometric analysis were conducted using Microsoft Excel, VOSviewer, CiteSpace, and the Bibliometrics R package. Results The analysis identified 5,674 documents. The United States led in research output and citation impact, followed by China and Europe. The University of Toronto was the most prolific institution (488 articles). International collaborations accounted for 18.54% of publications. David H. Abramson was the most prolific author (139 articles), followed closely by C.L. Shields (100 articles). Keyword analysis revealed three major thematic clusters: (1) molecular mechanisms and oncogenesis, (2) cell cycle regulation and experimental models, and (3) clinical management and therapeutic strategies. Recent hotspots included intraarterial chemotherapy, melphalan, treatment resistance, risk stratification, and tumor biology. Retinoblastoma research centers on molecular mechanisms, cell cycle regulation, and clinical management. Conclusion Advances in intraarterial chemotherapy, risk assessment, and molecular insights are improving survival and quality of life. Greater emphasis on real-world, multicenter, and international studies is needed to advance personalized care.

Purpose This study aims to explore the evolving research landscape of generative artificial intelligence (Gen-AI) by conducting a comprehensive bibliometric analysis. It seeks to identify prevailing themes, influential contributors and underexplored areas within the Gen-AI domain. Design/methodology/approach A bibliometric approach was adopted using data extracted from the Scopus database, focusing on publications from 2019–2024. The study used the Bibliometrix R package to analyze keyword trends, publication output, citation impact, country-wise productivity and thematic evolution. Findings The results reveal a significant rise in academic interest in Gen-AI, particularly since the release of models like ChatGPT. Key research areas include natural language processing, AI ethics, chatbots and education. However, several gaps persist – particularly in ethical use, bias mitigation and governance frameworks – suggesting the need for more focused and interdisciplinary research. Research limitations/implications The study is limited to publications indexed in the Scopus database and written in English. Valuable insights from other databases or non-English literature may have been excluded. The rapidly evolving nature of the field may also outpace the analysis over time. Originality/value This research provides a timely and data-driven overview of Gen-AI scholarship, offering actionable insights for researchers, practitioners and policymakers. It also highlights critical areas requiring further inquiry, contributing to a more balanced and ethically grounded advancement of generative technologies.

Remote robotic surgery (RRS) represents a frontier in surgical innovation, integrating robotics, artificial intelligence (AI), and high-speed communication networks. Despite its clinical significance, the global research landscape and conceptual evolution of RRS remain insufficiently mapped. A comprehensive bibliometric analysis of 857 Scopus-indexed documents (1980-2025) was conducted using Bibliometrix (R-package), VOSviewer, and CiteSpace. Analyses covered descriptive trends, country productivity, citation impact, collaboration networks, keyword co-occurrence, Bradford's Law of journal concentration, CiteSpace co-citation clustering, and thematic evolution. Thematic mapping was performed using the Walktrap clustering algorithm (250 words, minimum cluster frequency = 5) to visualize conceptual structures and developmental trajectories. RRS research exhibited an annual growth rate of 10.35%, with strong international collaboration (26.96%). The United States, China, Japan, and France dominated global contributions. Keyword co-occurrence and CiteSpace clustering revealed five thematic domains-robotic systems, telemedicine integration, surgical innovation, AI-assisted imaging, and 5G-enabled connectivity. Bradford's Law identified a small core of specialized journals as primary publication outlets. Thematic evolution (1980-2025) indicated three conceptual eras: foundational simulation and telepresence (1980-2013), technological integration with 5G and AI (2014-2022), and intelligent convergence emphasizing deep learning, blockchain, and ultra-low-latency communication (2023-2025). Thematic mapping further highlighted telesurgery as a basic theme and surgery as a motor theme driving interdisciplinary expansion. This bibliometric synthesis reveals a paradigm shift from early teleoperation frameworks to AI-driven, 5G-powered, and cybersecure surgical ecosystems. Future research should prioritize real-time data fusion, robotic autonomy, and ethical frameworks guiding intelligent telesurgical networks.

To provide a comprehensive bibliometric analysis of global research on nystagmus from 1980 to 2024, highlighting key contributors, evolving themes, collaborative patterns, and future directions. A total of 2,570 English-language articles and reviews with "nystagmus" in the title were retrieved from the Web of Science Core Collection. Data were analyzed using VOSviewer, CiteSpace, and Microsoft Excel. Trends in publication output, citation impact, keyword evolution, and co-authorship were examined. Mann-Kendall trend tests and linear regression were used to assess changes over time. Nystagmus research has increased steadily since 1980, with a significant surge after 2010 and peak output in 2021 (τ = 0.3509, P < .001). The United States led in publications (32.18%) and centrality (0.52), followed by Japan and England. Among 1,999 contributing institutions, the U.S. Department of Veterans Affairs and Case Western Reserve University were most productive. Authors such as Louis F. Dell'Osso, Irene Gottlob, and Ji-Soo Kim were prominent. Keyword clustering identified 10 thematic domains, with recent hotspots including infantile nystagmus, FRMD7 mutations, and optical coherence tomography. Citation burst analysis revealed both historic and emerging influential authors and topics. This is the first study to systematically map the intellectual structure of nystagmus research over four decades. Findings underscore increasing academic attention, but also reveal fragmented collaboration and underrepresentation of low- and middle-income countries. Future efforts should promote global partnerships and integration of artificial intelligence, imaging, and genetics to advance diagnosis and management of nystagmus.

Renal anemia, a major complication of chronic kidney disease, contributes to increased cardiovascular risk, mortality, and accelerated progression to kidney failure. However, comprehensive bibliometric analyses evaluating global trends, knowledge gaps, and emerging research hotspots in this field remain lacking. This study retrieved publications related to renal anemia from the Web of Science Core Collection (January 1965–November 2024) and conducted data analysis and visualization using VOSviewer, CiteSpace, Pajek, and Origin. The final dataset included 1,664 publications authored by 7,534 researchers from 2,287 institutions across 72 countries, with Japan, the United States, and China accounting for 45.8% of total publications. Top institutions were Showa University, the University of Tokyo, and King’s College Hospital; Iain C. Macdougall was the most prolific author, while Masaomi Nangaku demonstrated the highest citation impact and centrality. Keyword analysis revealed a growing focus on clinical trials and pathophysiology, highlighting three core therapeutic strategies: erythropoiesis-stimulating agents, iron supplementation, and hypoxia-inducible factor prolyl hydroxylase inhibitors (HIF-PHIs), along with several emerging research topics targeting sodium-glucose cotransporter 2 (SGLT2), hepcidin, fibroblast growth factor 23 (FGF23), gut microbiota, zinc, and stem cells. Our conclusions indicate that the field has evolved from erythropoietin replacement therapy to HIF-PHI-centered physiological modulation. Current hotspots center on HIF-PHI clinical translation, with potential therapeutic avenues including SGLT2 inhibitors, hepcidin antagonists, FGF23 signaling modulation, gut microbiota regulation, zinc supplementation, and stem cell-based therapeutics.

Bibliometric indicators play a key role in assessing research performance at individual, departmental, and institutional levels, influencing both funding allocation, and university rankings. However, despite their widespread use, bibliometrics are often applied indiscriminately and without discrimination, overlooking contextual factors that affect research productivity. This research investigates how gender, academic discipline, institutional location, and academic rank influence bibliometric outcomes within the Greek Higher Education system. A dataset of 2015 faculty profiles from 18 universities and 92 departments was collected and analyzed using data from Google Scholar and Scopus. The findings reveal significant disparities in publication and citation metrics: female researchers, faculty in peripheral institutions, and those in specific disciplines (such as humanities) tend to score lower values across several indicators. These inequalities underscore the risks of applying one-size-fits-all evaluation models in performance-based research funding systems. The paper moves beyond a one-size-fits-all perspective and proposes that bibliometric evaluations should be context-sensitive and grounded in discipline and rank-specific benchmarks. By establishing more refined and realistic expectations for researcher productivity, institutions and policymakers can use bibliometrics as a constructive tool for strategic research planning and fair resource allocation, rather than as a mechanism that reinforces the existing biases. The study also contributes to ongoing international discussions on the responsible use of research metrics in higher education policy.

Purpose – This study analyses the frontier of financial technology (FinTech) research repertoire by identifying essential features to direct future research in the sector. This research used bibliometric and citation analysis. Scopus yielded 1,011 data points linked to the article titled FinTech. Numerous programmes were used, including Microsoft Excel to perform the frequency study, VOSviewer to visualise the data, and Harzing's Publish or Perish to calculate and analyse citation metrics. The analysis results suggest that FinTech is a cross-disciplinary research area where past literature concentrated mainly on business-related and environmental science domains. The growing number of publications on FinTech demonstrates that the critical nature of technology has affected the financial services sector, and there are undoubtedly some ramifications for the economy. The data sources selected are from the Scopus database only. This study is the first bibliometric examination of FinTech utilising a 38-year-old publication database.

Purpose This study systematically evaluated the intellectual progress in artificial intelligence (AI)-driven osteoporosis research between 2004 and 2024 by employing scientometric and visualization techniques. Through mapping knowledge domains and identifying emerging trends, it offered actionable recommendations and strategic insights to guide future scholarly endeavors. Methods We queried the Web of Science Core Collection for English-language articles and reviews published between January 1, 2004, and November 30, 2024, using search terms including “osteoporosis,” “deep learning,” “convolutional neural networks,” and “artificial intelligence.” Bibliometric data were processed via VOSviewer (v1.6.20), CiteSpace (v6.3.R1), Scimago Graphica (v 1.0.46), and the R package Bibliometrix to quantify annual publication trends, assess national/institutional contributions, evaluate journal/author impact metrics, and map keyword co-occurrence and burst dynamics. Results The bibliometric analysis identified 408 publications (343 articles, 65 reviews) from 2004 to 2024, with a marked increase in output observed in 2024. China and the United States dominated scholarly productivity and citation impact. Leading institutions included the Technical University of Munich and Seoul National University, while Osteoporosis International emerged as the most influential journal. Prolific authors such as Thomas Baum demonstrated significant academic leadership. Keyword co-occurrence analysis revealed deep learning, artificial intelligence, and diagnosis as core research frontiers, signaling future technological and clinical priorities. Conclusion This study represents the first comprehensive bibliometric analysis of research on artificial intelligence in the field of osteoporosis. It not only outlines the field’s development trajectory and emerging frontiers but also highlights the research focus on AI technologies, particularly deep learning. Furthermore, it emphasizes critical challenges in clinical translation, such as algorithm optimization, model interpretability, and ethical privacy concerns. By systematically identifying key contributors, collaborative networks, and evolving research fronts, this study provides a foundational roadmap for the field. It offers strategic priorities for researchers to address methodological gaps, serves as a reference for clinicians to understand the evolving technological toolkit, and provides a basis for policymakers to promote interdisciplinary collaboration.

Background: Harmful cultural practices (HCPs) in Nepal, such as Chhaupadi (menstrual seclusion), child marriage, dowry-related violence, and witchcraft accusations, persist as significant social problems with severe consequences for health, education, and human rights. Despite legal bans and interventions, deeply rooted social norms hinder full behavioural change. The research landscape on these practices is fragmented across public health, legal, and social-anthropological disciplines, creating a need for a systematic analysis of the evidence base. Objective: This study aimed to map and analyse the evolution of the research landscape on HCPs in Nepal from 2016 to 2025 using bibliometric techniques. The objective was to identify temporal trends, disciplinary emphases, leading institutions, geographic collaborations, and persistent research gaps. Methods: A bibliometric analysis was conducted on literature published between 2016 and 2025. Data were retrieved from Dimensions.ai, PubMed, Google Scholar, and NepJOL using a standardized Boolean search string. Inclusion criteria focused on peer-reviewed articles in English or Nepali (with English abstracts) addressing HCPs in Nepal. After deduplication and cleaning in EndNote 21 and Excel, the final corpus was analysed using VOSviewer for network visualization and Excel for descriptive statistics. Findings: The analysis revealed a steady increase in annual publications, peaking at 27 in 2024, indicating growing scholarly attention. Citations also rose markedly, reaching a peak of 302 in 2024, signifying the field's growing academic influence. Nepal and the United States were the leading contributors (35 publications each), with strong international collaboration networks. Tribhuvan University was the most productive institution (22 documents), while Pokhara University's publications had notably high citation impact. Key research themes identified included Chhaupadi, child marriage, and gender-based violence, with a focus on health, legal, and socio-cultural dimensions. Conclusion: Research on HCPs in Nepal has expanded significantly over the past decade, maturing into an internationally recognized and interdisciplinary field. The findings confirm that while scholarly output and impact are growing, the evidence base remains uneven, with some practices and regions receiving more attention than others. Implication: This bibliometric map provides a valuable resource for researchers, funders, and policymakers to identify influential works, understand collaboration patterns, and pinpoint under-researched areas. Future efforts should prioritize cross-disciplinary studies and community-led, culturally sensitive interventions to effectively address persistent harmful cultural practices.

Science relies on integrity and trustworthiness. But scientists under career pressure are lured to purchase fake publications from ‘paper mills’ that use AI-generated data, text and image fabrication. The number of low-quality or fraudulent publications is rising to hundreds of thousands per year, which—if unchecked—will damage the scientific and economic progress of our societies. The result is editor and reviewer fatigue, irreproducible experiments, misguided experiments, disinformation and escalating costs that devour funding from taxpayers intended for research. It is high time to reevaluate current publishing models and outline a global plan to stop this unhealthy development. A conference was therefore organized by the Royal Swedish Academy of Sciences to draft an action plan with specific recommendations, as follows. (i) Academia should resume control of publishing using non-profit publishing models (e.g. diamond open-access). (ii) Adjust incentive systems to merit quality, not quantity, in a reputation economy where the gaming of publication numbers and citation metrics distorts the perception of academic excellence. (iii) Implement mechanisms to prevent and detect fake publications and fraud which are independent of publishers. (iv) Draft and implement legislations, regulations and policies to increase publishing quality and integrity. This is a call to action for universities, academies, science organizations and funders to unite and join this effort.

Analysis of Helicopter Emergency Medical Services Metrics-Altmetrics Score Perspective: HEMS-MAP.

Biomarker Discovery in Obstructive Sleep Apnea: A Bibliometric Mapping of Research Frontiers (2000-2023).

The top 100 most cited articles in cardiovascular research: A bibliometric perspective.

This study aims to determine the academic scope, growth dynamics, co-authorship networks, and most frequently used keywords in studies on foreign language anxiety (FLA) within the context of foreign language studies, as indexed in the WoS database. The literature review was conducted according to PRISMA guidelines, and 595 studies published in WoS between 1978 and 2024 were examined using bibliometric analysis methods. The analyses evaluated various bibliometric indicators, including the scope and growth trends of the literature, the most cited countries, academic collaborations in the FLA field, and keyword distribution. All processes were conducted using VOSviewer software, which is compatible with comprehensive bibliographic databases. The findings show that the FLA literature has grown significantly, especially between 2020 and 2024, with China contributing the most publications and the US standing out in citation impact. Additionally, Jean-Marc Dewaele was identified as the most influential author, and “foreign language anxiety” was the most frequently used keyword in the literature.

Access to education is essential for individual and social development. In Brazil, the composition of graduates still does not adequately reflect low-income groups, Black, Indigenous, and disabled people. This study employs a scientometric approach to map and evaluate publications on university quotas in Brazil, examining output, venues, authorship, and impact. Between 2019 and 2023, publication volume rose steadily, peaking in 2020 with 24 articles. The most productive authors are Tannuri-Pianto M. and Santos S. A., both from the University of Brasília, with Tannuri-Pianto M. also standing out in local citation impact. The leading institutional affiliations are the University of Brasília and UFMG. Regarding outlets, Education Policy Analysis Archives (six articles; IF = 0.4) and Sociedade e Cultura (four articles; IF &lt; 0.1) concentrate a significant share of the field’s output. Indicators considered include annual production, co-authorship patterns, and journal influence, providing an integrated view of how the debate has evolved. Findings suggest a growing but still fragmented literature, with opportunities for multi-institutional collaboration, broader methodological designs, and longitudinal evaluation of policy effects. The topic remains underexplored relative to its social stakes, yet its relevance is undeniable for promoting equal opportunities in higher education and, ultimately, in the labor market.

This study aims to analyze the scientific landscape of Traditional and Complementary Medicine (TCM) applied to chronic disease management in older adults, highlighting global research trends, thematic clusters, and collaboration networks. A mixed-methods study combining bibliometric and qualitative analyses was conducted using Scopus and Web of Science databases. Thirty-two peer-reviewed articles published between 2002 and 2025 were selected following inclusion and exclusion criteria. Data were processed using R (v4.4.2) and VOSviewer (v1.6.20) to evaluate productivity, citation impact, thematic evolution, and institutional cooperation. Results show a non-linear but sustained growth in scientific production, with peaks in 2015 and 2019 and a post-pandemic slowdown. The United States and Australia lead in productivity and impact, while Asian countries contribute emerging evidence. Three thematic clusters were identified: clinical effectiveness, emotional well-being, and complementary therapies (acupuncture, phytotherapy, meditation). TCM research on chronic diseases in older adults has achieved global relevance but remains fragmented, with limited international collaboration and a lack of standardized clinical protocols. The findings provide actionable evidence to guide public health policies, promote multicenter research, and foster integration of TCM into healthy aging programs.

Aims: Penile fracture is a rare but clinically significant urological emergency that may result in erectile dysfunction, penile curvature, and long-term complications if not promptly managed. Despite its clinical importance, the global research landscape on penile fracture remains fragmented and limited in scope. Bibliometric analysis provides an opportunity to systematically evaluate scientific productivity, citation impact, and collaboration networks in this field. The aim of this study was to conduct the first comprehensive bibliometric mapping of penile fracture research, focusing on publication productivity, citation performance, collaboration patterns, and emerging thematic trends. Methods: A bibliometric analysis was conducted using the Web of Science Core Collection database covering the period 1980 2024. A comprehensive search strategy with predefined inclusion and exclusion criteria was applied to identify original articles related to penile fracture. Data extraction and analysis were performed using Microsoft Excel and BibExcel. Visual mapping and network analyses, including co-authorship, co-occurrence of keywords, and bibliographic coupling, were conducted using VOSviewer. Results: A total of 255 original research articles were identified, authored by 1.064 researchers from 36 countries and published across 93 journals. The United States, Turkiye, and Egypt were the most productive countries, while the Journal of Urology, Urology, and the Journal of Sexual Medicine emerged as the most influential journals. Leading authors included Favorito LA, Koifman L, and Barros R. Keyword co-occurrence analysis revealed strong associations between “penile fracture,” “erectile dysfunction,” and “trauma,” while emerging trends highlighted diagnostic modalities such as ultrasonography and MRI. Bibliographic coupling identified a limited number of pivotal publications shaping the knowledge base. Conclusion: This study provides the first comprehensive bibliometric evaluation of penile fracture research, highlighting global publication trends, influential contributors, and evolving research themes. The findings underscore the need for increased international collaboration and methodologically robust prospective studies to strengthen the evidence base. By identifying research gaps and emerging priorities, this study not only strengthens the scientific evidence base but may also inform future guideline development and optimize clinical management strategies for this rare but significant urological emergency.

This study maps global research trends in entrepreneurial education from 2019 to 2024, analysing 1,212 SSCI-indexed journal articles from the Web of Science Core Collection through the lenses of human capital theory, planned behaviour theory, and entrepreneurial self-efficacy. Using the Bibliometrix package in R and VOSviewer, performance analysis and science mapping were applied to examine publication trends, citation impact, co-authorship networks, keyword co-occurrence, and thematic evolution. Results show sustained growth in scholarly output, led by the United States and European nations, while Malaysia and Singapore achieved exceptional citation impact. Strong transnational collaborations, particularly in Europe, underpin thematic priorities such as entrepreneurial learning, self-efficacy, innovation, and sustainability, with an emerging focus on gender, social entrepreneurship, and digital pedagogy. The findings offer actionable insights for educators, researchers, and policymakers, providing the most comprehensive recent bibliometric mapping of entrepreneurial education. This integration of quantitative evidence with theory informs post-pandemic research and pedagogical innovation.

Aims: Renal colic is a prevalent urological emergency, yet the global research landscape on this condition has not been systematically evaluated. Bibliometric analysis provides insights into scientific productivity, citation impact, collaboration patterns, and emerging research trends. The aim of this study was to evaluate scientific productivity, citation impact, and collaboration networks in the field of renal colic by analyzing the 100 most-cited original research articles. Methods: A bibliometric study was conducted using the Web of Science Core Collection database. Following inclusion and exclusion criteria, the 100 most-cited original research articles on renal colic were identified. Data cleaning was performed with BibExcel, and co-authorship, co-occurrence, and bibliographic coupling analyses were conducted using VOSviewer (version 1.6.20). Results: A total of 3367 eligible publications were retrieved, from which the 100 most-cited original articles were analyzed. These articles were published in 33 journals, authored by 508 researchers from 26 countries, and accumulated significant citation impact. The United States emerged as the most productive and influential country (h-index 46), with Yale University leading at the institutional level. The most impactful journals included American Journal of Roentgenology, Journal of Urology, and Radiology. Prominent authors were Smith RC, Verga M, and Rosenfield AT, all of whom demonstrated high total link strength. Keyword analysis revealed that “renal colic,” “computed tomography,” “radiation dose,” and “calculi” were the most frequent and central research themes, while bibliographic coupling highlighted clusters emphasizing diagnostic imaging and radiation safety. Conclusion: This bibliometric analysis identified the United States as the most productive country, Yale University as the leading institution, and American Journal of Roentgenology, Journal of Urology, and Radiology as the most influential journals. Diagnostic imaging and radiation safety emerged as central research themes. Strengthening international collaboration and generating data from low- and middle-income countries are critical to addressing current gaps

This paper aims to examine the intellectual landscape and thematic evolution of neuroaccounting, an emerging interdisciplinary field that integrates neuroscience, psychology, behavioral finance, and accounting to understand financial decision-making. Despite its conceptual relevance, neuroaccounting remains underrepresented in scholarly indexing and lacks a systematic bibliometric synthesis. Using a bibliometric analysis of 482 documents published between 1980 and 2025, this study investigates publication trends, citation metrics, document types, keyword patterns, and journal contributions. The research sample includes peer-reviewed articles, book chapters, conference papers, and other scholarly outputs indexed across major academic databases. Findings reveal a steady increase in academic interest, with notable growth in publications and citations from 2018 onward. Core themes such as cognitive biases, heuristics, behavioral finance, and investment decisions dominate the literature, even though “neuroaccounting” is not yet a mainstream keyword. High-impact contributions often originate from decision science and strategy journals, while behavioral finance journals serve as primary publication venues. Network and density visualizations highlight tightly connected thematic clusters centered on decision-making under uncertainty. The study’s implications suggest that neuroaccounting is conceptually robust but still fragmented, requiring further empirical research in real-world settings and broader geographic representation. Limitations include citation lag in recent publications and the evolving terminology surrounding the field. This paper contributes by positioning neuroaccounting as a unifying label that bridges established research domains, offering a foundation for future interdisciplinary collaboration and methodological innovation in accounting and financial behavior research.