Comprehensive Bibliometric Analysis Research Articles

The Evolution of Pediatric Spine Surgery: A Bibliometric Analysis of Publications From 1902 to 2023

BACKGROUND AND OBJECTIVES: Pediatric spine surgery has evolved considerably over the past century. No previous study conducted a bibliometric analysis of the corpus of pediatric spine surgery. We used big data and advanced bibliometric analyses to evaluate trends in the progression of pediatric spine surgery as a distinct field since the beginning of the 20th century. METHODS: A Web of Science query was designed to capture the representative corpus of pediatric spine literature. Statistical and bibliometric analyses were performed using various Python packages and the Bibliometrix R package. RESULTS: The collection, published from 1902 to 2023, comprised a total of 11 861 articles from 61 journals and 32 715 unique authors. The overall growth rate annually for publications was 5.08%. An upsurge in publications was seen in the 1980s, after the advent of specialty and subspecialty journals. Illustratively, over 90% of all articles pertaining to pediatric spine surgery were published in the past 3 decades. International and domestic collaboration also increased exponentially over this time period. Reference publication year spectroscopy allowed us to identify 75 articles that comprise the historical roots of modern pediatric spine surgery. There was a recent lexical evolution of topics and terms toward alignment, outcomes, and patient-centric terms. Coauthorship among under-represented groups increased since 1990, but remains low, with disparities persisting across journals. CONCLUSION: This comprehensive bibliometric analysis on the corpus of pediatric spine surgery offers insight into the evolving landscape of research, authorship, and publication trends over the past century. Advancements in the understanding of the natural history and technology have led the field to become increasingly outcomes focused, all of which have been fueled by pioneering authors. While diversity among authors improves, under-representation of various groups continues to persist, indicating a critical role for further outreach and promotion.

Bibliometric and knowledge map analysis of one lung ventilation.

One lung ventilation (OLV) is an essential method of lung isolation to protect the ventilated lung from soiling by the contralateral lung and obtain optimal surgical exposure in thoracic surgery. This study aims to examine the trends and developments in OLV research from 1982 to 2024 through bibliometric analysis. The literature on OLV was systematically searched in the Web of Science Core Collection database for this study. VOSviewer and CiteSpace were utilized to perform comprehensive bibliometric and visual analyses of global publication/trends, countries/institutions, authors/co-cited authors, journals/co-cited journals, co-cited references, and keywords in the field of OLV. A total of 1,682 articles and reviews on OLV research were identified, which showed an overall growing trend from 1982 to 2024. The United States was the leader in this field, accounting for the largest number of publications (n=299). Among all institutions, Yonsei University had the largest number of publications (n=23), but National Taiwan University Hospital had the highest number of cited publications (n=876). The papers related to OLV were mainly published in Journal of Cardiothoracic and Vascular Anesthesia (n=147) and the most productive author was Cheng YJ (n=15). After keywords analysis, "infants", "dexmedetomidine", "inflammation", and "airway management" were newly emergent research hotspots. Through bibliometric and visualization methods, we undertook a comprehensive analysis in the field of OLV. The United States maintained a top position in this field, the emerging hotspots of OLV changed from basic research to clinical research and the further innovation of OLV management. This study provides new ideas for scholars in their future works.

Bibliometric Analysis of Research on Factors Affecting Service Quality and Physician Performance

ABSTRACT The advent of digitalization in the healthcare sector has significantly underscored the importance of Electronic Medical Records (EMR) in primary health services. EMRs serve as a critical tool for storing, accessing, and analyzing patient data efficiently and accurately, which is essential for enhancing the quality of healthcare services. This study aims to conduct a comprehensive bibliometric analysis to identify and understand the various factors affecting the performance and completeness of EMRs in primary health services. Utilizing the Publish or Perish application and relevant keywords such as "Quality of service," "performance," "doctors," "factors," "facilities and infrastructure," "income," "competence," and "communication," a thorough examination of literature from Google Scholar was performed. The analysis focused on fifty top-ranked journals published between 2018 and 2024, classified by publication year, type, citation count, and researcher country. VOSviewer was employed to execute a detailed bibliometric analysis, using occurrence parameters of 4 and term parameters of 16. The findings revealed significant research trends, influential factors, and essential clusters related to the performance and completeness of EMRs. Key insights include that India, Indonesia, and Nigeria are at the forefront of research output in this field, with substantial contributions from prominent publishers such as Springer and Emerald. Critical factors identified include the competence of healthcare providers, the quality of patient care, and effective communication skills. This in-depth analysis offers valuable insights for researchers, practitioners, and policymakers, providing a foundation for optimizing EMR utilization and improving primary healthcare services. Future research should delve into less-explored areas, such as communication skills and patient experiences, to further enhance the effectiveness of EMRs in primary health services. Keywords: EMR, Performance, Healthcare Quality, Bibliometric Analysis, Primary Health Services

A large language model-powered literature review for high-angle annular dark field imaging

Abstract High-angle annular dark field (HAADF) imaging in scanning transmission electron microscopy (STEM) has become an indispensable tool in materials science due to its ability to offer sub-Å resolution and provide chemical information through Z-contrast. This study leverages large language models (LLMs) to conduct a comprehensive bibliometric analysis of a large amount of HAADF-related literature (more than 41000 papers). By using LLMs, specifically ChatGPT, we were able to extract detailed information on applications, sample preparation methods, instruments used, and study conclusions. The findings highlight the capability of LLMs to provide a new perspective into HAADF imaging, underscoring its increasingly important role in materials science. Moreover, the rich information extracted from these publications can be harnessed to develop AI models that enhance the automation and intelligence of electron microscopes.

Bibliometric analysis of artificial intelligence in healthcare research: Trends and future directions

ObjectiveThe presence of artificial intelligence (AI) in healthcare is a powerful and game-changing force that is completely transforming the industry as a whole. Using sophisticated algorithms and data analytics, AI has unparalleled prospects for improving patient care, streamlining operational efficiency, and fostering innovation across the healthcare ecosystem. This study conducts a comprehensive bibliometric analysis of research on AI in healthcare, utilising the SCOPUS database as the primary data source. MethodsPreliminary findings from 2013 identified 153 publications on AI and healthcare. Between 2019 and 2023, the number of publications increased exponentially, indicating significant growth and development in the field. The analysis employs various bibliometric indicators to assess research production performance, science mapping techniques, and thematic mapping analysis. ResultsThe study reveals insights into research hotspots, thematic focus, and emerging trends in AI and healthcare research. Based on an extensive examination of the Scopus database provides a brief overview and suggests potential avenues for further investigation. ConclusionThis article provides valuable contributions to understanding the current landscape of AI in healthcare, offering insights for future research directions and informing strategic decision making in the field.

Bibliometric Analysis of Prior Learning Assessment

This study presents a comprehensive bibliometric analysis of Prior Learning Assessment (PLA) research spanning from 1935 to 2023, using data extracted from 320 documents indexed in Google Scholar. The analysis revealed a significant increase in PLA research over the past two decades, with 87% of publications occurring commencing in the year 2000. Taylor & Francis emerged as the leading publisher in the field, accounting for 21% of all PLA publications and 33% of the citations. The Journal of Continuing Higher Education was identified as the most influential source, producing numerous highly cited works. R. Klein-Collins whose contributions significantly shaped PLA research was noted as the most influential author in the field. The analysis also showed that the United States produced the most PLA research contributing 72% of the total publications. The study also revealed a substantial amount of collaboration between researchers, 42% of papers had been co-authored. This study is the first of its kind to offer a detailed bibliometric overview of PLA, it provides valuable insights into publication trends, influential contributors, and collaborative networks, which serve as an important resource for scholars, administrators, and policymakers involved in adult education and PLA practices.

Drilling fluids: Score years of trends, innovations and implications in research

Drilling fluids play a pivotal role in well construction, serving as the key components that maintain the structural integrity of the well during drilling. The management of these fluids has seen swift advancements in technology recently, allowing for enhanced planning of well construction. These advancements have led to drilling fluids with improved properties, which greatly affect the efficiency and total cost of drilling activities. They are employed in drilling operations to cool and lubricate the drill bit, control formation pressure, transport cuttings to the surface, and fortify the stability of the wellbore. Recognizing their significance in the petroleum industry, the authors have conducted a comprehensive bibliometric analysis on drilling fluids. A thorough screening yielded 9,535 pertinent studies from Scopus over the past twenty years. Tools such as Office 365 VOS viewer and RStudio were used to analyse the metadata of these studies. The findings indicate a marked increase in drilling fluid research over this period. This study particularly identifies 150 noteworthy collaborations between China and the United States of America. These collaborations are probably a result of their respective large-scale oil and gas operations, sophisticated research facilities, and mutual dedication to the growth of petroleum industry technology. In addition, a comprehensive evaluation of the top 32 cited articles produced between 2018 and 2024 has been conducted, and their significance in the area has been rigorously examined and evaluated.

Finite element analysis in the Dental Sciences: A Bibliometric and a Visual Study

Introduction and aimsFinite element analysis (FEA) is an incrementally practical and precise tool for the prediction of stress effects on different tissue structures and has therefore interested dental researchers for decades. This bibliometric and visualized study was aimed to assess the research progress related to FEA in the dental sciences in terms of research trends and frontiers. MethodsThe articles about FEA studies in this field during 1999 to 2024 were obtained from Web of Science Core Collection. Then, these results were analysed and plotted using Microsoft Excel, VOSviewer, and CiteSpace in order to find out the historical evolution, current hotspots, and future directions. ResultsTotal 2838 literature records related to the topic were retrieved from Web of Science Core Collection. The most active country and institution were USA (538 documents) and Universidade Estadual Paulista (140 documents), respectively. Baggi et al from University of Naples Federico II was the author with the most highly cited article (352 citations), which was published on the Journal of Prosthetic Dentistry in 2008. Dental Materials ranked first (231 documents) among the 10 journals with the greatest numbers of relevant publications. The top three trending keywords were ‘dental implant’, ‘stress distribution’, and ‘fracture’. The endocrown, clear aligner, and posterior edentulism were scientific frontiers in this field. ConclusionThe present study provides a comprehensive bibliometric analysis of research in the dental science by FEA approaches, which will identify active hotspots of scientific interest to guide further research endeavours.

Research Development on Sustainable Business Models

This study presents a comprehensive bibliometric analysis of the research on sustainable business models, drawing from the Google Scholar database and focusing on the period from 1991 to 2024. The analysis identifies key themes, influential authors, and collaborative networks within the field, highlighting the central role of sustainable business practices, the increasing importance of digital transformation, and the adoption of circular economy principles. By mapping the intellectual structure of the field, the study provides valuable insights into the evolution of sustainable business models and suggests pathways for future research. The findings emphasize the need for interdisciplinary collaboration and the integration of innovative strategies to advance sustainability in business. Despite its limitations, this study offers practical implications for academics, businesses, and policymakers, aiming to align research and practice with global sustainability goals.

Exploring the evolution of ecocriticism: A bibliometric study and literature review

The study conducts a comprehensive bibliometric analysis to delve into the evolution of ecocriticism, a critical approach that examines the intricate relationship between literature and the environment. Utilizing the extensive databases of Scopus and Web of Science, the research identifies key themes, influential authors, and the developmental trajectory of ecocriticism over a significant 29-year period, spanning from 1994 to 2023. This in-depth analysis reveals the field's inherently interdisciplinary nature, its progressive expansion into various cultural expressions, and its increasingly pivotal role in understanding the multifaceted impact of human activity on the environment. By highlighting the substantial potential of ecocriticism, the study not only enhances our understanding of complex environmental issues but also advocates for and promotes ecological responsibility. The bibliometric synthesis encompassed a substantial corpus of 1,615 documents. These documents were meticulously analyzed using R Studio software, which enabled the researcher to employ a range of analytical techniques, including descriptive statistics, thematic analysis, and sophisticated visualization methods. These techniques were instrumental in uncovering the underlying trends and patterns in ecocriticism research, providing valuable insights into the field's development and its current state.This study's findings serve as a roadmap for future research in this dynamic and ever-evolving field. They highlight potential avenues for exploration and emphasize the critical questions that remain to be addressed. The insights provided by this comprehensive analysis underscore the importance of ecocriticism in fostering a deeper understanding of environmental issues through literature and promoting a more ecologically responsible world. As ecocriticism continues to evolve, this study sets the stage for ongoing scholarly exploration and interdisciplinary engagement with environmental themes in literature.

Bibliometric Analysis of the Implementation of Good Governance on Community Welfare

This study conducts a comprehensive bibliometric analysis of the relationship between good governance and community welfare, utilizing data from the Google Scholar database spanning the years 1981 to 2024. The analysis reveals that good governance is a central theme in the literature, closely associated with key topics such as community welfare, corporate governance, sustainable development, and economic growth. The findings underscore the importance of transparency, accountability, and citizen participation in governance reforms to enhance social and economic outcomes. Additionally, the study highlights the evolving role of corporate governance and the potential of decentralization and local governance to improve community welfare. These insights have significant practical implications for policymakers, practitioners, and researchers, emphasizing the need for an integrated approach to governance that addresses both public and private sectors while empowering local authorities. The study concludes that a holistic governance strategy is essential for achieving sustainable development and equitable community welfare.

Evaluation of Top Journals and Authors in Behavioral Economics: A Bibliometric Approach

Behavioral economics has become an essential subfield within economics, integrating psychological insights to better understand decision-making processes. This study conducts a comprehensive bibliometric analysis to evaluate the evolution of behavioral economics, identify key research themes, and map the contributions of influential authors. Using data sourced from the Google Scholar database, the study analyzes publication trends, co-authorship networks, and the temporal development of research areas. The findings reveal that core concepts such as behavioral finance, public policy, and experimental economics continue to dominate the field, while emerging areas like consumer behavior and insurance indicate new research directions. The co-authorship analysis highlights the importance of collaboration among scholars in shaping the field's development. These insights provide valuable implications for researchers, educators, policymakers, and funding bodies in guiding future research, curriculum development, and resource allocation. This study contributes to a deeper understanding of the intellectual structure and trajectory of behavioral economics.

Bibliometric Analysis on the Application of IoT in Smart Manufacturing System in Industry 4.0

The rapid integration of Internet of Things (IoT) technologies in smart manufacturing systems has been a pivotal development within the framework of Industry 4.0. This study conducts a comprehensive bibliometric analysis to examine the evolution, current trends, and emerging research areas related to IoT applications in smart manufacturing. By analyzing data from a decade of scholarly publications, this research identifies key themes, influential authors, and collaborative networks that have shaped the field. The findings reveal that foundational technologies such as the internet, cloud computing, and big data are central to the development of smart manufacturing, while newer innovations like digital twins and blockchain are gaining prominence. The study also emphasizes the importance of strategic collaboration among researchers and industry professionals in advancing IoT adoption. The practical implications suggest that manufacturers should prioritize both foundational digital infrastructure and emerging IoT applications to enhance efficiency, security, and sustainability. This analysis provides a roadmap for future research and practical implementation, highlighting the critical areas where IoT can further revolutionize smart manufacturing systems.

A Bibliometric Analysis of Government Budget Efficiency and Effectiveness: Trends and Future Directions

This study conducts a comprehensive bibliometric analysis of the literature on government budget efficiency and effectiveness, spanning publications from 1956 to 2024. Utilizing data exclusively from Google Scholar and employing VOSviewer for visualization, the analysis identifies key trends, influential themes, and research gaps within the field. The centrality of "effectiveness" in the literature underscores its critical role in public administration and fiscal policy, while emerging topics such as "policy," "cost effectiveness," and "e-government" highlight the growing importance of integrating economic efficiency and digital innovation into government budgeting practices. Persistent challenges, including issues of "transparency" and "corruption," indicate areas that require ongoing attention to enhance the overall effectiveness of government budgetary processes. The study's findings offer valuable insights for policymakers and researchers, suggesting a balanced approach that incorporates strategic policy-making, technological advancements, and robust accountability measures to optimize the use of public resources.

Identifying authorial roles in research: A Kano model-based bibliometric analysis for the Journal of Medicine (Baltimore) 2023.

The landscape of research roles within academic journals often remains uncharted territory, with authorial contributions frequently reduced to linear hierarchies (e.g., professor and assistant professor). The Kano model, traditionally used in customer satisfaction research, offers a nuanced framework for identifying the multifaceted roles of authors in scholarly publications. This study utilizes the Kano model to dissect and categorize the roles of authors in the medicine field. To conform to the hypothesis, China is the research leader while the US is the research collaborator, as reflected in the publications of the journal of Medicine (Baltimore) in the year 2023. We conducted a comprehensive bibliometric analysis of all research articles published in the journal of Medicine (Baltimore) in 2023. The Kano model was applied to classify authors into 5 categories reflective of their research roles: followers, leaders, partners, contributors, and collaborators. Data on author publications and co-authorship networks with multi-author rates (MARs) were analyzed to assign Kano categories based on the authorship positions of first and corresponding authors. Descriptive statistics and network analysis tools were used to interpret the data, including radar plots, geographical maps, and Kano diagrams. The analysis covered 1976 articles, uncovering a complex network of author roles that extends beyond the conventional binary distinction of lead and supporting authors (i.e., leading, and following researchers). A research leader in China and a collaborator in the US were conformed to support the hypothesis, based on their publications (1148 vs 51) and MARs (12.20% vs 19.61%). The Kano classification was visually adapted to classify authors (or entities) into 5 categories. The combined choropleth and geographical network maps were illustrated to identify author roles in research briefly. The Kano model serves as an effective tool for uncovering the diverse contributions of authors in medical research. By moving beyond the lead and follower dichotomy, this study highlights the intricate ecosystem of authorial roles, emphasizing the importance of each in advancing knowledge within the field of medicine. Future application of the Kano model could foster a more collaborative and inclusive recognition of contributions across various disciplines.

WORLDWIDE RESEARCH ON HALAL TOURISM: A BIBLIOMETRIC ANALYSIS

The growth of halal tourism has attracted attention globally, with numerous countries expanding their tourism infrastructure to support economic development. Despite the increasing interest in halal tourism, the existing literature primarily comprises theoretical background research found in online databases. It is crucial to evaluate the extent of research on halal tourism and the most productive sources, affiliations, countries, and authors that contribute to halal tourism research and trends. This study provides a comprehensive bibliometric analysis of halal tourism research based on the Scopus database. Bibliometric analysis has been recognized as a significant method. This technique offers a systematic and transparent examination of the field, enabling researchers to understand the current state of affairs, identify core topics, and explore existing relationships within this domain. The top three jurisdictions of halal tourism, namely Indonesia, Malaysia, and Turkey, were selected for the study. The bibliometric analysis was conducted using Scopus analyzer, RStudio VOSviewer version 1.6.17, and Microsoft Excel. The analysis covered 90 documents published between 2010 and 2021. The study’s findings reveal the research’s nature and direction over the past decade, highlighting dominant jurisdictions, journals, authors, and co-occurrence networks. However, limitations exist in using a single database source, indicating the need for additional databases in future research. This research provides academicians and practitioners with comprehensive insights into the concept and implementation of halal tourism, facilitating the development of strategic initiatives to enhance the satisfaction of Muslim tourists and travelers.

A systematic literature review of low-cost 3D mapping solutions

In "low-cost" solutions, ensuring economic accessibility and democratizing the availability of emerging technologies stand as pivotal considerations. This study undertakes a systematic literature review of low-cost 3D mapping solutions. Leveraging SCOPUS as the primary database, a comprehensive bibliometric analysis encompassing 1380 publications was conducted, subsequently narrowing the focus to 87 recent publications for detailed review. This research endeavors to delineate the defining characteristics of low-cost systems, elucidate their principal applications and preferred platforms, assess accessibility level, gauge the extent of innovation in both hardware and software development, explore the contributions of Deep Learning and data fusion, evaluate the consideration of data quality, and examine the contemporary relevance of photogrammetry within low-cost context. The findings demonstrate that many authors subjectively use the term low-cost to highlight qualities of a technology, methodology or sensor, but challenges arise from data quality comparisons with high-cost systems.

Toward precision and efficiency: a bibliometric study on robotic-assisted unicompartmental knee arthroplasty research and development

Aim: With the increasing prevalence of knee diseases affecting human health and quality of life, it is essential to explore more advanced surgical assistive technologies to improve the precision, safety, and success rate of unilateral knee replacement surgery. This study aims to conduct a comprehensive bibliometric analysis of robotic-assisted unicompartmental knee arthroplasty (r-UKA) to understand its current status, trends, and future directions. Methods: Retrieve articles about r-UKA in the Web of Science Core Collection (WOSCC) database. Data from 128 selected articles, including author information, publication details, citations, and evidence level, were analyzed. Statistical analyses and data visualizations explored publication and citation trends, research interests, core author groups, and cooperative networks. Results: Interest in r-UKA research has grown, particularly after 2013, which is evident from increased publications and citations. The United States is the largest contributor, followed by the United Kingdom, both of which have prominent medical research institutions and universities actively involved in r-UKA research. Frequent keywords such as “alignment”, “accuracy”, “revision”, and “survivorship” highlight the focus on surgical precision, implant longevity, and patient outcomes. Conclusion: Robotic-assisted unicompartmental knee arthroplasty has gained significant attention, promising improved surgical precision and patient outcomes. Collaboration between researchers and medical institutions globally has driven progress in this field. However, long-term outcomes and clinical efficacy compared to traditional techniques require further investigation. As robotic technology evolves, its application in knee replacement surgery holds potential for better therapeutic effects and advancements toward more accurate, safe, and efficient procedures, benefiting patients and advancing unicompartmental knee arthroplasty (UKA).

Global research landscape of Peutz-Jeghers syndrome and successful endoscopic management of intestinal intussusception in patients with recurrent laparotomies.

Peutz-Jeghers syndrome (PJS) has brought significant physical, psychological and economic burdens on the patients and their families due to its early onset, diagnostic and therapeutic challenges and increased recurrence risk. To explore the current research status and emerging hotspots of PJS. Studies on PJS published during 1994-2023 were gathered based on Web of Science Core Collection. Additionally, a case of PJS-induced intestinal intussusception, successfully treated with endoscopic methods despite three laparotomies, was highlighted. Comprehensive bibliometric and visual analysis were conducted with VOSviewer, R and CiteSpace. Altogether 1760 studies were identified, indicating a steady increase in the publication number. The United States had the highest influence, whereas the University of Helsinki emerged as the leading institution, and Aaltonen LA from the University of Helsinki was the most prolific author. Cancer Research, Oncogene and Endoscopy were the top three journals based on H-index. Keyword burst direction analysis revealed that "cancer risk", "management", "surveillance" and "familial pancreatic cancer" were the potential hotspots for investigation. Additionally, "early detection", "capsule endoscopy", "clinical management", "double-balloon endoscopy", "familial pancreatic cancer" and "molecular genetic basis" were identified as the key clusters of co-cited references. Endoscopic polypectomy remained effective on resolving intestinal intussusception in patients who underwent three previous laparotomies. In the last three decades, global publications related to PJS show a steadily increasing trend in number. Endoscopic management is currently a research hotspot.

Research Trends in the Recovery of By-Products from Organic Waste Treated by Anaerobic Digestion: A 30-Year Bibliometric Analysis

The prevailing extractive economic model is unsustainable due to the finite nature of resources, thereby necessitating the development of alternative models and policies. The anaerobic digestion (AD) process is key to achieving this objective, as it facilitates the conversion of organic waste into biogas and nutrient-rich digestate. This approach is aligned with the principles of a circular economy and contributes to a reduction in carbon emissions. This study aims to conduct a comprehensive bibliometric analysis of the literature published over the past three decades (1993–2023). The analysis will be based on data drawn from the Scopus database and then analysed using the VOSviewer software, which allows for the interconnection of the revised bibliography through a series of selected keywords. The results demonstrated the existence of four clusters: (i) the beneficial valorisation of waste; (ii) volatile fatty acids and biohydrogen as added value by-products resulting from AD; (iii) lignocellulosic substrates and their by-products; and iv) the main products of AD, biogas and digestate. The bibliometric analysis demonstrates a growing interest in AD within the biorefinery concept in recent years, showcasing its potential for effective waste management and integration into the production chain through the principles of the circular economy.