Bibliometric Study Research Articles

State of the Art on High Performance Work Systems Research: A Bibliometrics Study

This systematic data-driven review examines current state of the literature on high performance work systems (HPWS) and identifies future research directions in the human resource development (HRD) literature, using bibliometric analysis and content analysis of 789 peer-reviewed articles published between 1996 and 2021. Firstly, this study presents yearly trends, influential articles, journals, and countries in the HPWS literature. Moreover, by employing bibliographic coupling and content analysis in conjunction, this study reveals the following key research themes: (1) HPWS and organizational performance, (2) HPWS and individual-level outcomes, (3) Human Resource (HR) systems-HPWS-performance link, and (4) Diversification of the HPWS research contexts. Based on the findings, we propose future research directions for HRD scholars, including the need to investigate the influences of HPWS utilization in the contexts of pandemic and uncertainty, sustainability, the adoption of HPWS in small and medium-sized enterprises, and the dark side of HPWS.

How did educational institutions respond to students with special needs during COVID-19: considerations for policy?

This bibliometric study analyzes the scientific production on the educational response of institutions to families with children with special educational needs (SEN) during the COVID-19 pandemic. The research identifies emerging trends and distinctive characteristics, providing a foundation for improving strategies in schools. The analysis reveals an increase in publications from 2020 to 2023, peaking at 24 articles in 2022. A total of 246 researchers participated, with Castro-Kemp S and McIntyre LL standing out for their productivity and citations. Institutions such as UCL and the University of Oregon led in publications, while the University of California, Santa Barbara, topped the citations. In terms of scientific production, the United States had the most articles, followed by the United Kingdom and Spain. However, the United Kingdom led in global citations, indicating a high level of interest in the topic. The main journals in this field include Frontiers in Education and Education Science. Twelve collaboration networks among authors were identified, with a primary network of seven closely collaborating researchers. The pandemic exacerbated pre-existing difficulties in the education of children with SEN, increasing stress and emotional burden on parents. The transition to home education and the lack of adapted resources presented significant challenges. However, some strategies, such as dialogic literary gatherings and collaboration between schools and families, proved effective in mitigating negative impacts. The study underscores the need for inclusive public policies that address disparities in educational support and prioritize the psychological well-being of children with SEN. It recommends a proactive and equitable approach in school psychology training and educational practice. In conclusion, this analysis provides a solid foundation for future research and improvements in schools, promoting an inclusive and resilient educational environment.

Poverty reduction and the sustainable development goals: a bibliometric study focused on the Global South

Poverty reduction and the sustainable development goals: a bibliometric study focused on the Global South

Trends in the Use of Augmented Reality in Character Development within Local Wisdom in Schools: A Bibliometric Study

This paper provides a thorough assessment and analysis of prior research literature. The objective of this review is to ascertain the disparities in research about the Application of Augmented Reality in character development and to determine the best actions to continue this research. This goal is achieved through bibliometric analysis and descriptive content. The keywords "Augmented reality" and "character" were Derived from the Scopus research database for bibliometric analysis. Publications from 2014 to 2024 can only be accessed. The data indicate a substantial rise in the amount Investigation carried out on the application of augmented reality in character development. Specifically, there were 22 papers published in 2022, marking the largest amount of studies and citations was documented during that year. The IEEE Transactions on Visualization and Computer Graphics journal is the most cited source. Quantitative methods are used more often than qualitative methods. Methods such as Descriptive Statistical Analysis and Regression Analysis are the most frequently used, with fifty and forty-five occurrences, respectively. This research could be a valuable reference for other academics exploring the implementation of augmented reality in character analysis. Moreover, the presence of research deficiencies can motivate other scholars to confront these deficiencies with the aim of enhancing the utilization of augmented reality in the cultivation of character in children.

Research perspectives of supply chain knowledge management: A bibliometrics study

The purpose of this article is to present a bibliometric analysis of scientific publications on knowledge management (KM) and supply chain (SC), provide an overview of research activities in this field and recognise its most substantial and fundamental aspects. In addition, this study aims to quantitatively analyse KM in SC in other words supply chain knowledge management (SCKM) research trends, forecasts and citations from 1999 to 2021 in Web of Science (WOS). A total of 499 documents related to SCKM research were collected from the following databases: SCI-EXPAND, SSCI, AHCI and ESCI. These documents were carefully reviewed and subjected to bibliometric data analysis techniques. We map the time trend, disciplinary distribution, high-frequency keywords and topics, major authors and influential publications to show emerging topics. Based on the findings of other researchers, many implications emerged that improve one’s understanding of the identity of SCKM as a distinct multi-discipline scientific field, and its publication has grown significantly since 2018. SC papers were published in engineering and Operations Research and Management Science journals, while the coverage of research topics related to KM and SCKM is broader and more interdisciplinary than those of SC papers. High-frequency keywords associated with SCKM research are listed. From the citation of 499 papers with both KM and SC as keywords, we find the most popular one.

AI-based feedback tools in education: A comprehensive bibliometric analysis study

This bibliometric analysis offers a comprehensive examination of AI-based feedback tools in education, utilizing data retrieved from the Web of Science (WoS) database. Encompassing a total of 239 articles from an expansive timeframe, spanning from inception to February 2024, this study provides a thorough overview of the evolution and current state of research in this domain. Through meticulous analysis, it tracks the growth trajectory of publications over time, revealing the increasing scholarly attention towards AI-driven feedback mechanisms in educational contexts. By describing critical thematic areas such as the role of feedback in enhancing learning outcomes, the integration of AI technologies into educational practices, and the efficacy of AI-based feedback tools in facilitating personalized learning experiences, the analysis offers valuable insights into the multifaceted nature of this field. By employing sophisticated bibliometric mapping techniques, including co-citation analysis and keyword co-occurrence analysis, the study uncovers the underlying intellectual structure of the research landscape, identifying prominent themes, influential articles, and emerging trends. Furthermore, it identifies productive authors, institutions, and countries contributing to the discourse, providing a detailed understanding of the collaborative networks and citation patterns within the community. This comprehensive synthesis of the literature serves as a valuable resource for researchers, practitioners, and policymakers alike, offering guidance on harnessing the potential of AI technologies to revolutionize teaching and learning practices in education.

Advances in research on the relationship between mitochondrial function and colorectal cancer: a bibliometric study from 2013 to 2023

The study provides a thorough examination of literature from 2013 to 2023, delving into the intricate relationship between mitochondrial function and colorectal cancer (CRC). It offers a concise overview of the current landscape and emerging trends in this rapidly evolving research area. The findings indicate a consistent rise in annual publications, reflecting growing interest and significant potential in the field. China emerges as the leading contributor, followed by the United States and India. However, despite China’s dominance in output, its average citation rate is lower than that of the US, which leads in citations per publication, highlighting a noticeable disparity. In the realm of research institutions, Shanghai Jiao Tong University and China Medical University are identified as major contributors, yet the potential for inter-institutional collaboration remains largely untapped, suggesting avenues for future synergy. Internationally, China-US collaborations are particularly robust, fostering cross-border knowledge exchange. Hyun Jin Won and Li Wei are recognized as prolific authors, while Ahmedin Jemal is an influential co-cited scholar, noted for his seminal contributions. Keyword analysis reveals research focus areas, such as the complex CRC tumor microenvironment, molecular mechanisms of oxidative stress, and key multidrug resistance pathways. It also highlights the promising potential of mitochondria-targeted therapies and nanomolecular technologies in clinical practice, signaling their growing significance in addressing complex health challenges. The study underscores the imperative to validate complex mitochondrial mechanisms and signaling pathways in CRC, with a particular emphasis on translating these insights into drug targets for clinical trials. Advancing this research is expected to refine and enhance CRC treatment strategies. Additionally, it highlights the urgency of validating mitochondrial complexities in CRC, advocating for collaborative efforts to link these mechanisms with tailored therapeutic interventions for clinical testing. This integrated approach promises significant advancements in developing effective, targeted CRC treatments, ultimately improving patient outcomes.

Indexing status of orthodontic research published in presumed predatory journals: a bibliometric study.

To examine the frequency and features of presumed predatory orthodontic publications. We also aimed to assess the presence of these types of publications in established scientific databases. Six electronic databases were searched to identify orthodontic articles published in 2022 in English. Equal numbers of articles from legitimate (n = 159) and suspect or predatory journals (n = 159) were considered. Data regarding journal, article and author characteristics were obtained. The indexing status of the publications in PubMed, Ovid, Embase, Web of Science, Scopus and EBSCOhost was evaluated. The total number of databases that the article was indexed in, level of evidence, origin of first author and research funding were recorded. Univariable ordinal regression analyses were performed to explore potential association between article legitimacy and indexing status. The majority of studies in predatory journals were found in non-specialized journals (79.6%). Scopus was the most porous database, indexing over half of predatory and suspect articles (56%). In Web of Science (Core collection), the distribution of articles across different indexing categories varied (SCIE; 16.4%, ESCI; 30.2%). In contrast, only 8.2% of these articles appeared in Medline. Articles in legitimate journals tended to have higher level of evidence and were indexed in more databases in comparison to predatory/suspect publications (OR=1.5; 95% CI: 1.37-1.64; p<0.01). The origin of the first author was a significant predictor for journal legitimacy (p<0.001). A high proportion of orthodontic publications appear in presumed predatory and suspect journals which are in turn often indexed in trustworthy databases. Medline was the least susceptible to predatory publications, while Web of Science and Scopus were more prone. Predatory and suspect journals are increasingly prevalent with the penetration of these journals into recognized databases. We were able to identify associated trends.

Green Human Resource Management and Environmental Performance: A Bibliometric Study and Future Directions

The global need to solve escalating environmental challenges brings increased focus on organizations and their impact on environmental performance. The significance of green human resources management (GHRM) is increasingly recognized as aligning organizational objectives with environmental sustainability goals, fostering eco-friendly workplace practices and enhancing corporate social responsibility. GHRM and its contribution to environmental performance has received growing attention from scholars, however, a need to systematically review and synthesize the literature in this area remains. This research offers a comprehensive overview of green human resources management and environmental performance literature highlighting the major themes in the current developments along with the new trends and patterns for future research observed in this field. For conducting a systematic literature review and bibliometric analysis, a total of 227 documents were extracted from the Scopus database. Following the PRISMA 2020 Protocol, 144 published articles from 2014 to 2024 were included for final analysis. Performance analysis and science mapping (citation, co-citation, bibliographical coupling, and keyword co-occurrence analysis) were performed to examine how knowledge has been constructed, disseminated, and shaped over time. VOSviewer software was used to systematically investigate, map, and visualize the bibliometric results as the main trends. The study reveals the current status in GHRM and performance management publications and citations, identifying key contributors such as influential countries, journals, and authors and outlines keywords, and thematic areas. Lastly, this study identifies research gaps and emerging trends such as green transformational leadership, green innovation, green behaviour, environmental values, green intellectual capital, environmental economics in GHRM, offering valuable insights for scholars and practitioners seeking to advance understanding and implementation of green HR practices.

Global hotspots and trends in tea anti-obesity research: a bibliometric analysis from 2004 to 2024

BackgroundThe prevalence of obesity and its related ailments is on the rise, posing a substantial challenge to public health. Tea, widely enjoyed for its flavors, has shown notable potential in mitigating obesity. Yet, there remains a lack of exhaustive bibliometric studies in this domain.MethodsWe retrieved and analyzed multidimensional data concerning tea and obesity studies from January 2004 to June 2024, using the Web of Science Core Collection database. This bibliometric investigation utilized tools such as Bibliometrix, CiteSpace, and VOSviewer to gather and analyze data concerning geographical distribution, leading institutions, prolific authors, impactful journals, citation patterns, and prevalent keywords.ResultsThere has been a significant surge in publications relevant to this field within the last two decades. Notably, China, Hunan Agricultural University, and the journal Food and Function have emerged as leading contributors in terms of country, institution, and publication medium, respectively. Zhonghua Liu of Hunan Agricultural University has the distinction of most publications, whereas Joshua D. Lambert of The State University of New Jersey is the most cited author. Analyses of co-citations and frequently used keywords have identified critical focus areas within tea anti-obesity research. Current studies are primarily aimed at understanding the roles of tea components in regulating gut microbiota, boosting fat oxidation, and increasing metabolic rate. The research trajectory has progressed from preliminary mechanism studies and clinical trials to more sophisticated investigations into the mechanisms, particularly focusing on tea’s regulatory effects on gut microbiota.ConclusionThis study offers an intricate overview of the prevailing conditions, principal focus areas, and developmental trends in the research of tea’s role against obesity. It delivers a comprehensive summary and discourse on the recent progress in this field, emphasizing the study’s core findings and pivotal insights. Highlighting tea’s efficacy in obesity prevention and treatment, this study also points out the critical need for continued research in this area.

Emerging trends and hotspots in intestinal microbiota research in sepsis: bibliometric analysis

BackgroundThe association between the gut microbiota and sepsis has garnered attention in the field of intestinal research in sepsis. This study utilizes bibliometric methods to visualize and analyze the literature on gut microbiota research in sepsis from 2011 to 2024, providing a scientific foundation for research directions and key issues in this domain.MethodsOriginal articles and reviews of gut microbiota research in sepsis, which published in English between 2011 and 2024, were obtained from the Web of Science Core Collection on June 21, 2024. Python, VOSviewer, and CiteSpace software were used for the visual analysis of the retrieved data.ResultsA total of 1,031 articles were analyzed, originating from 72 countries or regions, 1,614 research institutions, and 6,541 authors. The articles were published in 434 different journals, covering 89 different research fields. The number of publications and citations in this research area showed a significant growth trend from 2011 to 2024, with China, the United States, and the United Kingdom being the main research forces. Asada Leelahavanichkul from Thailand was identified as the most prolific author, making him the most authoritative expert in this field. “Nutrients” had the highest number of publications, while “Frontiers in Cellular and Infection Microbiology,” “Frontiers in Immunology” and “the International Journal of Molecular Sciences” have shown increasing attention to this field in the past 2 years. Author keywords appearing more than 100 times included “gut microbiota (GM),” “sepsis” and “microbiota.” Finally, this study identified “lipopolysaccharides (LPS),” “short-chain fatty acids (SCFAs),” “probiotics,” “fecal microbiota transplantation (FMT)” and “gut-liver axis” as the research hotspots and potential frontier directions in this field.ConclusionThis bibliometric study summarizes current important perspectives and offers comprehensive guidance between sepsis and intestinal microbiota, which may help researchers choose the most appropriate research directions.

Global research trends in traditional Chinese medicine therapy for acute leukemia: a comprehensive visualization and bibliometric analysis

ABSTRACT Background: The application of traditional Chinese medicine (TCM) therapy to acute leukemia has been intensively investigated. However, the bibliometric analysis in this field has not been performed. This bibliometric study aimed to comprehensively analyze the research trends and active areas of TCM therapy for acute leukemia from 2000 to 2023. Methods: We searched articles and reviews published between 2000 and 2023 that discussed TCM in acute leukemia from the Web of Science Core Collection (WoSCC). Knowledge mapping and bibliometric analysis were conducted using VOSviewer, CiteSpace software, and R-bibliometrix. Results: A total of 1,099 articles were included, with China, the United States, and Korea contributing the most papers. Most papers were published in the Journal of Ethnopharmacology. Meanwhile, China saw a steady increase in the number of publications. The three leading institutions that made outstanding contributions were the China Medical University, the Chinese Academy of Sciences, and the China Academy of Chinese Medical Sciences. Efferth Thomas, Liu Wei, and Liu Jie were the top three productive authors, with Efferth T receiving the most co-citations. The most frequently cited reference was Shen ZX (1997). In the analysis of keywords co-occurrence, ‘survival,’ ‘risk factors,’ ‘nanoparticles,’ and ‘metabolism’ are the active research topics. Conclusion: This bibliometric study provides researchers with a comprehensive overview and significant value in understanding the development of TCM in acute leukemia treatment.

Drug resistance biomarkers in ovarian cancer: a bibliometric study from 2017 to 2022

BackgroundLate diagnosis and patient relapse, mainly due to chemoresistance, are the key reasons for the high mortality rate of ovarian cancer patients. Hence, the search for biomarkers of high predictive value within the phenomenon of chemoresistance is vital. This study performs a bibliometric analysis of the scientific literature concerning biomarkers of drug resistance in ovarian cancer, considering the period from 2017 to 2022.MethodsThe terms “drug resistance biomarker” and “ovarian cancer” were linked by the Boolean operator “AND”. The search was done in PubMed, selecting documents published over the last 5 years (2017-2022), which were analyzed with the open-source tool Bibliometrix developed in the R package. The language of the publications was restricted to English. Several types of papers such as case reports, clinical trials, comparative studies, and original articles were considered.ResultsA total of 335 scientific articles were analyzed. The United States and China were the leading contributors and established the largest number of scientific collaborations. The Huazhong University of Science and Technology and the University of Texas MD Anderson Cancer Center were the most influential institutions. The Journal of Ovarian Research, International Journal of Molecular Science, and Scientific Reports are among the most relevant journals. The study identified high-profile, relevant thematic niches and important descriptors that indicate topics of interest, including studies on women, cell lines, solid tumors, and gene expression regulation. As well as studies involving middle-aged and adult participants, and those focusing on prognosis evaluation. Descriptors such as “drug resistance,” “neoplasm,” “genetics,” “biomarker,” “gene expression profile,” and “drug therapy” would indicate new research trends. In addition, we propose that BCL-2, CHRF, SNAIL, miR-363, iASPP, ALDH1, Fzd7, and EZH2 are potential biomarkers of drug resistance.ConclusionsThis paper contributes to the global analysis of the scientific investigation related to drug resistance biomarkers in ovarian cancer to facilitate further studies and collaborative networks, which may lead to future improvements in therapy for this lethal disease.

A bibliometrics analysis based on the application of artificial intelligence in the field of radiotherapy from 2003 to 2023.

Recent research has demonstrated that the use of artificial intelligence (AI) in radiotherapy (RT) has significantly streamlined the process for physicians to treat patients with tumors; however, bibliometric studies examining the correlation between AI and RT are not available. Providing a thorough overview of the knowledge structure and research hotspots between AI and RT was the main goal of the current study. A search was conducted on the Web of Science Core Collection (WoSCC) database for publications pertaining to AI and RT between 2003 and 2023. VOSviewers, CiteSpace, and the R program "bibliometrix" were used to do the bibliometric analysis. The analysis comprised 615 publications from 64 countries, with USA and China leading the pack. Since 2017, there have been more and more publications about RT and AI every year. The research center that made the biggest contribution to this topic was Maastricht University. The most articles published journal in this field was Frontiers in Oncology, while Medical Physics received the greatest number of citations. Dekker Andre is the author with the greatest number of published articles, while Philippe Lambin was the most often co-cited author. In the newly identified research hotspots, "autocontouring algorithm", "deep learning", and "machine learning" stand out as the main terms. In fact, our bibliometric analysis offers insightful information on current research directions and advancements pertaining to the use of AI in RT. For academics looking to understand the connection between AI and RT, this study is a great resource because it highlights current research frontiers and hot trends.

Content Analysis of Bibliometric Studies Prepared About Smart Tourism

Smart tourism has become one of the most researched topics in recent years. There has been an increase in studies examining the main trends, bibliometric structures and networks, and social, intellectual, and conceptual frameworks of the concept of smart tourism within different parameters. The aim of this study is to evaluate bibliometric analysis studies on smart tourism indexed in WoS and Scopus databases by content analysis. In this context, 48 documents were found in the WoS and Scopus databases under the subject headings of "smart tourism" and "bibliometric analysis". This is the first study using content analysis to analyze bibliometric articles on smart tourism in WoS and Scopus databases. These analyses mainly focus on authors' analysis, articles' distribution according to publication years, country collaboration network, co-citation networks of authors and journals, frequency of keywords, and co-occurrence map analysis. Bibliometric analysis studies on smart tourism have gained momentum, especially after 2019, when most studies were conducted in the field. When the keywords of the studies in WoS are analyzed, it is determined that the most frequently repeated keyword is "bibliometrics" in 14 studies, followed by "smart destination" and "smart tourism destination" in 7 studies each, and "smart tourism" in 3 studies. These results show that most of the bibliometric studies in WoS focus on smart destinations.

Mapping the Scientific Shreds on Barriers to SMEs’ Innovation

The present study aims to showcase the vital contributions to innovation barriers in the context of small and medium enterprises (SMEs) for 1975–2022. With the help of VOSviewer, this bibliometric analysis employs a quantitative method based on documents retrieved from SCOPUS database to assess historical patterns, results and the key elements affecting open innovation in SMEs. The results show an upward trend of research publications in the totality of the 222 documents contributed by 160 authors from 59 countries. The majority of research was conducted in developed countries. Findings also reveal the most cited research articles, keyword analysis, country collaboration and the number of documents published yearly. Language bias may occur as this bibliometric study only included literature written in a single language. Consequently, studies released in other languages may go unnoticed. This study is helpful for policymakers to provide a conducive environment for innovation among SMEs to keep economic growth on priority. This study offers the first comprehensive assessment of innovation barriers in a holistic manner. With the help of bibliometric analysis, the study assesses the intellectual framework of open innovation in SMEs.

Current status and prospects of congenital adrenal hyperplasia: A bibliometric and visualization study.

Congenital adrenal hyperplasia (CAH) is increasingly prevalent, leading to a surge in related research. To pinpoint emerging trends and recommend future directions, a bibliometric analysis of relevant CAH literature was performed. From January 1, 2000, to October 1, 2023, we searched the Web of Science Core Collection for CAH literature. For the bibliometric analysis, tools such as VOSviewer, CiteSpace, and the R package "bibliometrix" were employed. The United States and England are at the forefront among 113 countries, contributing 5034 papers to CAH research. However, there is a need for more extensive global collaboration across institutions in this field. The number of publications on CAH is increasing annually. Leading research institutions include the University of Michigan, University of California, San Francisco, Karolinska Institutet, and Karolinska University Hospital. The Journal of Clinical Endocrinology & Metabolism is the most cited in this area. The most prolific author is Falhammar H, with 88 publications, 2568 co-citations, and a significant overall contribution. Key research areas include diagnostic methods and therapeutic strategies for CAH. Emerging research hotspots are identified by keywords such as "disorders of sex development," "21-hydroxylase deficiency," "ambiguous genitalia," "testosterone" and "adrenal insufficiency." Research on CAH is expected to expand globally. Future studies will primarily focus on exploring CAH's diagnostic aspects and developing new therapies. This paper will help scholars better understand the dynamic evolution of the CAH and point out the direction for future research.

Dandy walker syndrome: A bibliometric analysis of the most 100 cited articles

Introduction: Dandy-Walker Syndrome (DWS), a complex neurodevelopmental disorder, has intrigued clinicians and researchers since its description by physicians Walter Dandy and Arthur Walker. Despite its recognition for nearly a century, understanding its etiology, pathogenesis, and clinical manifestations remains elusive. This bibliometric analysis aims to elucidate influential academic works on DWS. Methods: In January 2024, we conducted a Scopus search for articles on DWS and identified the top 100 referenced publications. The Harzing Publish or Perish search engine was utilized with relevant terms, including “Dandy-Walker,” “Dandy-Walker Syndrome,” and “Dandy-Walker Malformation.” Data from Scopus, including publication details and citation counts, were compiled and organized using Microsoft Excel. Statistical analysis and data visualization were performed using Python, with Pandas, Matplotlib, Seaborn, and NetworkX libraries employed for this purpose. Results: The bibliometric analysis of DWS research revealed key insights. Significant research output was noted in the 2000-2009 and 1990-1999 decades. The cumulative citations totaled 6,059, with an average of 2.60 citations per year per article. Leading authors included W B Dobyns, Kathleen J Millen, and G Pilu. Institutions such as the University of California and Harvard Medical School were prominent, with the United States being the predominant contributor. Major journals like the American Journal of Medical Genetics played significant roles. Conclusion: This bibliometric study summarizes the most-cited articles on DWS, providing light on the field and its seminal works that have shaped both present-day clinical treatment and the trajectory of future research.

Seeds of change: A bibliometric study on sustainable technologies and business strategies in agriculture

The transition to sustainable agricultural practices is critical in the face of escalating climate challenges. Despite significant advances, the integration of green technologies within agribusiness remains underexplored. This study undertakes a comprehensive bibliometric analysis, utilizing data from the Web of Science Core Collection (1990–2023), to elucidate the integration of green technologies within agribusiness strategies. The research highlights key trends, influential authors, prominent journals, and significant thematic clusters, including biogas, biochar, biotech remediation, sustainable agriculture transition, low-carbon agriculture, and green strategies. By employing R, Bibliometrix, and VOSviewer, the study provides a nuanced understanding of the research landscape, emphasizing the critical role of strategic planning, policy frameworks, technological innovation, and interdisciplinary approaches in promoting sustainable agricultural development. The findings underscore the growing scholarly interest in sustainable practices, driven by global initiatives such as the UN’s 2030 Agenda and the Paris Agreement. This study contributes to the literature by offering qualitative insights and policy implications, highlighting the necessity for a holistic integration of green technologies to enhance the environmental and economic viability of agribusinesses.

A global overview of the use of cone beam computed tomography in dentistry: a bibliometric review focusing on paediatric patients

Background Cone Beam Computed Tomography (CBCT) has improved diagnosis and treatment planning in paediatric dentistry, but no bibliometric studies have examined the research landscape. This study provides an overview of CBCT in paediatric dentistry. Methods A bibliometric review was conducted using articles from the Web of Science database up to February 2024. Conference papers and editorials were excluded. Data extracted included citation counts, publication dates, journals, impact factors, study designs, topics, geographical and institutional affiliations, authors, and keywords. Collaborative networks were visualised using VOSviewer, and Spearman’s correlation assessed the relationship between citation counts and other variables. Results The review analysed 517 articles, with the most cited receiving 557 citations. Publication dates ranged from 2005 to 2024, with a peak in 2023. Observational studies were the most common, particularly on maxillary expansion. The American Journal of Orthodontics and Dentofacial Orthopedics was the most cited journal, and the USA was a major contributor. Jacobs R authored the most articles (n=19), and the University of Alberta led in institutional output. Spearman’s correlation showed a weak positive correlation between citation count and journal impact factor (rho=0.272, p&lt;0.001) and a strong negative correlation with publication year (rho=-0.762, p&lt;0.001). Conclusions This bibliometric review provides an overview of the use of CBCT in paediatric dentistry, particularly in maxillary expansion. The findings suggest that more specific imaging protocols may improve safety and clinical outcomes, and that further investigation of long-term outcomes may provide valuable insights.