50 years of The Australian Journal of Indigenous Education: A bibliometric retrospective

This work represents the second part of a general bibliometric analysis we have prepared for The Australian Journal of Indigenous Education (AJIE), motivated by the first 50 years of the journal. This study develops a graphical analysis of AJIE by using the VOSviewer software, Scopus and the Web of Science database. Utilising bibliometric methods such as co-citation, bibliographic coupling and co-occurrence of keywords in the VOSviewer software, this study reveals AJIE’s impact on key Indigenous education topics, including culturally responsive pedagogy, decolonisation, Indigenous health and teacher education. The analysis highlights AJIE’s strong national presence, supported by substantial contributions from Australian institutions, along with a modest yet notable level of international engagement, particularly from New Zealand, Canada and the United States. The journal’s transition to open access, combined with its inclusion in major academic indexes, has increased its visibility and citation reach, reinforcing its role as a leading publication in the field of Indigenous education.

Global population aging has sparked research into frailty and falls given their impact on older adults. This study provides a bibliometric analysis of frailty and fall literature to identify publication trends, leading contributors, impactful works, and conceptual themes. Frailty and fall publications were retrieved from Scopus and Web of Science databases without date restrictions. Data was analyzed using ScientoPy, and VOSviewer to generate statistics, visualizations, and maps based on temporality, productive countries, institutions, citations, subject categories, and keyword occurrences. After pre-processing, 345 publications remained (84.6% Web of Science, 15.4% Scopus). The literature has grown steadily since 1990, led by the United States, China, and Japan. Prolific institutions were identified, including Pittsburgh University. Highly cited impactful studies were published across journals like the Journal of the American Geriatrics Society. Geriatrics/gerontology was the dominant subject category. Keyword co-occurrence analysis revealed clusters focusing on geriatric physical health, cardiovascular health, cognition, interventions, and mortality. This bibliometric analysis synthesizes a comprehensive overview of frailty and fall research, identifying rising publication and citation trends, leading global contributors, impactful studies, and thematic focuses. The findings can inform resource allocation, international collaboration, impactful evidence utilization, and future research planning to advance frailty science and clinical care for older populations. Ongoing investigation is warranted into frailty mechanisms, assessment, management, and multidomain interventions.

Purpose The study aims to identify and discuss how the literature on Environmental, Social and Governance (ESG) and Earnings management (EM) has evolved, indicating key streams, keywords, authors, journals, countries, publication and citation trends, and thematic evolution. The study also constructs agendas for future research on ESG and EM. Design/methodology/approach This study uses the bibliometric review and content analysis approach on a corpus of 50 documents from Scopus until early 2024. Findings The study identifies distinct clusters based on bibliographic coupling: (1) ESG and EM in developed countries; (2) Institutional drivers in ESG-EM relationship; (3) ESG and EM in emerging countries; and (4) ESG integration in corporate practices. The research presents several key findings, including the most influential articles, top productive and impactful journals, and publication and citation trends. Additionally, it conducts network analysis encompassing author keyword co-occurrences and co-citation networks of journals. Furthermore, the present work explores bibliographic coupling among countries and documents. Finally, it proposes a framework for future research based on the research gaps identified in this review. Research limitations/implications This study assists practitioners, policymakers and academics, including researchers and journal editors, in comprehensively understanding the relationship between ESG and EM and appropriately evaluating ESG performance and earnings quality. Originality/value The study contributes to the extant accounting literature by systematically exploring prior studies on the relationship between ESG and EM. It also constructs a future agenda for ESG and EM literature.

Is the use of biosensor in monitoring food quality experiencing an uplift trend over the last 30 years?: A bibliometric analysis

Objective: This study aims to explore the application of neural stem cells (NSCs) in the treatment of spinal cord injury (SCI) through a bibliometric analysis, identifying global research trends and hotspots in this field to further promote research progress. Methods: The bibliometric analysis was conducted using data from the Web of Science (WOS) database, focusing on literature published between 2000 and 2024. A total of 7010 related documents were retrieved, with 4531 specifically addressing NSCs and SCI. The analysis utilized the VOSviewer data analysis platform and the bibliometric online analysis platform to visualize publication and citation trends, keyword frequencies, and the contributions of various countries, authors and journals to the field. Results: The analysis revealed that the United States leads in SCI research, producing the most related articles, followed by China. Key research themes identified include “central nervous system”, “transplantation”, and “differentiation”. The most prolific journals in this field are the Cell Transplantation and Experimental Neurology, with the highest average citation rates observed in Nature Medicine. Okano H and Univ Toronto are the most influential author and institution, respectively. Conclusion: The bibliometric analysis underscores the growing global attention to SCI research and the importance of NSCs as a promising treatment avenue. Despite the challenges in understanding the SCI microenvironment and achieving clinical translation, significant progress has been made in stem cell preparation, in vitro culture, and differentiation methods. The study suggests that ongoing research and the development of comprehensive treatment strategies will enhance the clinical application of NSCs, offering hope for improved outcomes in SCI patients.

BackgroundThis study aims to evaluate research trends, key contributors, and thematic focuses in research of the anterolateral ligament (ALL) of the knee. It seeks to identify future direction for studies related to long-term clinical outcomes regarding ALL’s role in rotational stability, especially in the context of anterior cruciate ligament (ACL) injuries.MethodsA bibliometric analysis was conducted using the Web of Science (WoS) database, covering publications from 2012 to 2024 with the search term “anterolateral ligament”. A total of 942 studies were identified. Descriptive statistics summarized publication trends, authorship, institutional contributions, and citation metrics. VOSviewer software was used to analyze co-authorship network analysis, keyword co-occurrence mapping, and total citation analysis. Yearly publication and citation trends were analyzed using WoS data. Studies addressing the ALL in other body regions were excluded. Additionally, only authors with at least one publication and one citation were considered, and documents with more than 25 authors were excluded. A total citation analysis was conducted, and 24 relevant keywords with more than 5 occurrences were identified using VOSviewer. ResultsAmong 942 publications, 707 were original articles. Research output peaked in 2017 (125 articles). Sonnery-Cottet was the leading author (75 publications), while Universidade De São-Paulo emerged as the top institution (57 publications). Key journals included Arthroscopy: Journal of Arthroscopic and Related Surgery (143 articles) and The American Journal of Sports Medicine (131 articles). Keywords such as “anterior cruciate ligament”, “reconstruction”, and “rotational stability” dominated, reflecting a focus on ACL injury management. The top ten cited studies accrued 3,86 citations, with Claes et al.’s anatomical study leading (621 citations). Of the 942 ALL-related articles in WoS, 381 focused on anatomy (11,278 citations) while 814 addressed reconstruction (17,048 citations). Keyword trends shifted from anatomical to clinical terms, with anatomy declining and stability, injury, and outcomes gaining prominence from 2021 to 2024.ConclusionsThis bibliometric analysis underscores the growing interest in ALL research, peaking between 2016 and 2017. While foundational studies on ALL anatomy and biomechanics appear saturated, future research should prioritize clinical outcomes in terms of failure rate, reoperation, the long-term efficacy of ACL–ALL reconstruction, and advancements in imaging techniques.

Background: The 1998 book "Carrots, Sticks & Sermons: Policy Instruments and Their Evaluation" introduced a seminal typology categorizing policy tools by their mechanisms of influence. Despite its potential to shape policy theory and practice, its broader disciplinary impact and citation patterns remain underexplored. This article evaluates the book's legacy in public policy literature while testing bibliometric methods, including emerging generative artificial intelligence (GAI) tools for research synthesis. Purpose: The study aims to (1) assess the influence of the book on the discourse in the public policy literature and (2) explore the utility and limits of AI-driven tools for tracing scholarly impact. It addresses four questions: the book's citation trends, its presence in major disciplinary texts, citation intent, and GAI's ability to reference the work accurately. Setting: Not applicable. Intervention: Not applicable. Research Design: A mixed-methods approach consisted of: (i) quantitative bibliometrics (citation counts, trends, and keyword analysis), (ii) qualitative content analysis by human researchers (major disciplinary handbooks/textbooks and articles), and (iii) generative AI semantic search and analysis. Data Collection and Analysis: The quantitative analysis covered a corpus of interdisciplinary public policy literature from 1998 to 2024, extracted from citation databases (Scopus, Web of Science, Google Scholar). Qualitative analysis focused on 20 major handbooks and textbooks from public policy discipline (occurrence of references to book and policy instruments typology) and coding of 20 highly cited articles (classification of citation types in terms of intent). Work with GAI focused on semantic search and analysis with various AI platforms. Findings: The findings underscore the typology's enduring relevance while advocating for methodological rigor in impact assessments and GAI-aided research. The book has achieved "classic" status in public policy, evidenced by 1,369 citations on Google Scholar, 924 citations on Scopus, 627 citations on Web of Science, as well as presence in 16 out of 20 major disciplinary handbooks/textbooks. Its typology is foundational but often superficially referenced; only 7 of 20 top articles applied it directly. GAI tools also referred to the book, although frequently misattributed or diluted the source, highlighting risks in automated literature reviews. The authors propose updating the typology of policy instruments to include behavioral tools (e.g., nudges) and stress the need for human verification of GAI outputs.

This paper presents an overview of entrepreneurship in the family business. We used detailed bibliometric analysis to map terms and analyze relations and tendencies between documents, keywords, authors, universities, organizations, and countries. The purpose is to understand better the phenomenon of Entrepreneurship, their relationship, and implications related to causes and consequences derived from a family business on the first stage of their life. Scholars with interests in entrepreneurship may find relevant and pertinency information about patterns of research between Universities, authors, countries, keywords, and the co-citations and co-occurrences of them. We used descriptive bibliometric analysis, to show in this study bibliometric characteristics reporting publication and citation trends from 2005 to 2018, combining bibliometric analysis and mapping, with thematic analysis, using Web of Science and VoSviewer software. We based this research on the Web of Sciences (WoS) Core Collection including: Science Citation Index Expanded (Sci-Expanded), Social Sciences Citation Index (SSCI), Arts & Humanities Citation Index (A&HCI), Emerging Sources Citation Index (ESCI), in order to analyze the most productive authors, institutions and countries; besides we look for the most cited papers and articles. Bibliometric indicators represent bibliographic data, including the total number of publications and citations between 2005 and 2018 found in WoS. We created, based on VOSviewer software, graphical visualization of the bibliographic material, developing the map of different terms: journals, keywords, institutions, besides bibliographic coupling and co-citation analysis.

Variation in Results of Three Biology‐Focused Search Engines: A Case Study Using North American Tree Species

Publication trends and knowledge mapping in 3D printing in orthopaedics

Artificial intelligence (AI) has revolutionized sports science, advancing performance analysis, injury prevention, and strategy optimization. However, its long-term impact remains underexplored. This study conducts a bibliometric and predictive analysis of -driven sports research over the past decade, identifying key contributors, emerging trends, and future directions through visualization techniques. Method: A systematic review was conducted on related sports research from 2014 to 2024 using the Web of Science Core Collection. Bibliometric tools Citespace and Vosviewer were employed to analyze publication trends, author networks, institutional collaborations, and keyword co-occurrences. Polynomial regression analysis was applied to forecast future research growth based on historical publication and citation trends. A total of 5,811 publications with 96,753 citations were identified. China, the United States, and the United Kingdom were the most productive countries, with China leading in volume but exhibiting lower citation impact. The Chinese Academy of Sciences, Stanford University, and the University of Oxford were the top research institutions. Keyword analysis revealed that "machine learning," "deep learning," and "computer vision" were the most studied topics, while emerging themes such as "stress analysis," "information processing," and "pose estimation" indicated shifts towards driven real-time monitoring and predictive analytics. Polynomial regression models predicted continued research growth, with publication trends following y = 354x ² + 1350x + 528 (r ² = 0.94) and citation growth modeled as y = 9680x ² + 24900x + 7850 (r ² = 0.99), suggesting sustained acceleration in AI applications within sports science. The integration of sports science has grown rapidly, with machine learning and computer vision playing a pivotal role in optimizing athletic performance, real-time feedback, and injury prevention. Predictive analytics and driven modeling can transform sports training by personalizing programs based on biomechanical and physiological data, enhancing both performance and injury resilience. However, disparities in AI adoption across regions and institutions highlight the need for greater international collaboration, particularly in developing regions where access to driven sports technologies is limited. Future research should refine -driven models for individualized training, integrate wearable sensor data for precision, and address ethical concerns. Additionally, policymakers and sports organizations should invest in AI-based training and health monitoring systems to bridge the gap between technology-rich and technology-limited regions. As it evolves, its role in sports science will expand, driving advancements in performance analysis, health monitoring, and strategic decision-making.

PurposeGrey Systems: Theory and Application (GSTA) journal started publication in 2011 and completed a decade in 2021. The purpose of this study is to provide a detailed bibliometric analysis of the articles published in GSTA and their content primary trends and themes.Design/methodology/approachThis study uses the Web of Science (WoS) database to analyze the content of published articles. A range of bibliometric analyses and indicators are applied to analyze the GSTA article content using science mapping tools of the Bibliometrix package in the R environment.FindingsThe GSTA publishes around 28 articles each year with citations of this work steadily growing over time. The impact of these publications is measured as total mean citations which increased from 0 to 11. The journal has attracted contributors from around the globe, most often affiliated with China, India and Europe. Thematic evolution of the journal's themes reveals that it has expanded its scope to include topics such as relational analysis, decision making, incidence analysis, and forecasting, hybrid grey-fuzzy or grey-rough modeling, etc.Research limitations/implicationsThe study is majorly based on GSTA data available on the WoS database.Originality/valueThis study provides the first overview of GSTA's publication and citation trends as well as the evolution of its thematic structure. It also suggests future directions that the journal might take to strengthen its position.

Over the past two decades, interest in minimally invasive scoliosis surgery (MISS) for adolescent idiopathic scoliosis (AIS) has grown substantially, driven by advancements in growth-based surgical techniques. Given the substantial advancements in MISS for AIS, investigating the bibliometric data of the scientific literature is crucial to understanding the current research trend and providing valuable insights into its future directions. However, limited information on MISS for AIS exists in the literature. The publication data related to MISS for AIS from 2004 to 2024 were exported from the Web of Science. The research output between 2004 and 2024 was 373 for publication volume, 7760 for citations, and 46 for h-index. The annual publication and citation trend over time showed a gradual increase with fluctuations up until 2017, followed by a sharp upward trend starting in 2018. The foremost countries and affiliations in this field were the United States and Montreal University in Canada, respectively. The top 10 most-cited articles on MISS in AIS predominantly focused on the topic of vertebral body tethering (VBT). Among the productive authors, most contributions were focused on VBT, while several authors in South Korea significantly contributed to the study of MISS via a posterior approach. Historical development of VBT and posterior MISS identified their current advantages and limitations and highlighted potential future research directions.

Dealing with Indigenous education, the following questions have to be considered: What is the nature and design of the education system that Indigenous students attend? And why does this system contribute to high dropout rates and lack of academic success of Indigenous students? To answer these questions it is important to examine the development of Indigenous education historically. A comparative perspective can also, I believe, reinforce our understanding not only of the present state but also the future direction for Indigenous education. This article is an attempt to assess the history, characteristics, and achievement of Indigenous education in the United States, Canada, and Taiwan. Following the demographic distribution of Indigenous people in three countries, a brief history of Indigenous education is provided to realize its development. The critical commonalities and school experiences of Indigenous students are discussed comparatively to illustrate the characteristics of Indigenous education. In conclusion, the principles of Indigenous education are suggested to improve Indigenous education.

Mapping pedestrian safety studies between 2010 and 2021: A scientometric analysis