Bibliometric Analysis Research Articles

The potential of STEM-based curriculum in realizing 21st-century learning: Bibliometric analysis

The potential of STEM-based curriculum in realizing 21st-century learning: Bibliometric analysis

A Bibliometric Analysis of Bougainvillea Plant: Research Trends, Geographic Distribution and Future Direction

The main aim of this paper is to conduct an exhaustive bibliometric analysis of Bougainvillea. A total of 624 publications on Bougainvillea were identified from Scopus data ranging from 1937 to 2024. The dataset downloaded from the Scopus database contains contributions from 2140 authors. Data visualization and analysis were carried out through different software: Microsoft Excel, Bibliometrics, BibExcel, VOSviewer, and Biblioshiny in R Studio. Analysis shows that the number of publications on Bougainvillea has increased tremendously in recent years, with 243 articles published between 2017 and 2024. India is the most significant contributor to Bougainvillea research. This bibliometric analysis helps a researcher gain direction into the key trends and areas of interest while exploring the medicinal attributes of the plant. Bougainvillea, a plant more commonly associated with its colourful blooms and ornamental use, has recently been gaining attention for its medicinal applications. The present review attempts to garner such existing knowledge regarding the medicinal attributes of Bougainvillea related to its phytochemical composition, traditional uses, pharmacological activities, and therapeutic applications.

Mapping the Future of Innovation: A Bibliometric Analysis of STEM Education Trends in K-12

With the increasing global emphasis on science, technology, engineering, and mathematics (STEM) education, it is crucial to systematically assess research trends and thematic developments in this field. This paper utilizes bibliometric analysis to examine the scholarly landscape of K-12 STEM education, analyzing 2,645 articles from the Web of Science Core Collection between 2019 and 2023. By analyzing citation metrics, author productivity, institutional and country contributions, and exploring word co-occurrence networks, the study identifies predominant themes and patterns in the field. The findings reveal that advanced countries dominate STEM education research, reflecting significant scholarly interest and investment. The analysis also highlights the role of technological advancements and educational reforms in shaping research trajectories. Additionally, a robust pattern of international collaboration is uncovered, where strategic partnerships across diverse institutions utilize multidisciplinary approaches to effectively address educational challenges. The study suggests the need to broaden research databases to include non-English sources and extend analysis over longer periods for a better understanding of evolving trends. Furthermore, the study recommends embracing interdisciplinary methods and integrating emerging technologies to enhance teaching practices.

Regression models applied to rhizosphere data: A bibliometric review

The interaction of soil with plant roots in the rhizosphere plays an important role in various ecosystem services and food production, and it has been the focus of numerous studies. In turn, statistical modeling can aid in a more comprehensive understanding of this interaction, such as the application of regression models to rhizosphere data. Thus, the main objective of this work was to develop the first bibliometric analysis on regression models applied to rhizosphere data. Bibliometric data were obtained from Web of Science and Scopus databases. We use the topic retrival as ((“Rhizosphere”) AND (“Regression models” OR “Regression model” OR “Generalized Linear Models” OR “Generalized Linear Model”)) to search for scientific articles that contain these keywords in their title, abstract, or keywords. The search encompassed articles published from 1900 to 2022, resulting in 34 articles, with the earliest record dating back to 1985. While studies of the rhizosphere are increasing, few studies apply regression models to their data. The use of more advanced techniques, such as Generalized Linear Models (MLG), Artificial Neural Network (ANN), Random Forest Model (RFM), Support Vector Machines (SVM), and Generalized Boosted Regression Modeling (GBM), became evident from 2016 onwards, which was associated with the computational advances and the development of artificial intelligence. Some articles demonstrated that the use of more robust models can provide more meaningful results to the researcher. Only one article was published in a journal dedicated to statistics, highlighting the diffusion of regression models into various fields. Collaborations involving co-authorship between researchers from different countries have led to higher citation rates, increasing the importance of the research to the scientific community. Perhaps one of the most notable limitations to increasing research using regression models is the absence of a statistician or researcher within the research groups who is well versed in statistical models and procedures.

Role of Virtual Reality to Enhance Learning Motivation: A Bibliometric Analysis

The rapid advancement of virtual reality (VR) technology has sparked interest in its potential use in educational settings. This study investigates how virtual reality could enhance learning motivation using a bibliometric analysis of scholarly works published between 2020 and 2024. The primary objectives are to identify significant research trends, notable works, and emerging subjects in the literature. 300 relevant articles were collected from Scopus, which served as the data source. The analysis was done using bibliometric tools such as VOS viewer. The study focused on co-authorship networks, citation patterns, and phrase co-occurrence in order to map the research landscape. The results demonstrate that interest in VR's potential to raise learning motivation is growing, with interdisciplinary collaborations at foreign institutions playing a significant role in this trend. The significance of integrating technology, creating immersive learning environments, and the psychological impacts of virtual reality on student engagement are highlighted in important findings. Despite the positive advancements, accessibility issues and constraints in long-term impact research were discovered. This research contributes to the body of knowledge currently in existence and offers useful information for academics, educators, and policymakers with its in-depth examination of Virtual Reality's effect on educational motivation. More research is required to close the gaps observed to fully realize the potential of virtual reality in education.

Bibliometric Analysis to Understand Research Trends in Data-Driven Economics

The bibliometric analysis conducted in this study offers a nuanced understanding of the evolution and current state of research within data-driven domains, highlighting "data" as a central theme interconnected with diverse fields like business, smart cities, and machine learning. This research provides valuable insights into the dominant trends, collaboration patterns, and thematic priorities that shape the data-driven research landscape, underscoring the critical role of data in advancing both theoretical knowledge and practical applications across various sectors. The findings suggest significant opportunities for enhancing data analytics capabilities, developing targeted educational programs, and fostering interdisciplinary collaborations that can bridge existing gaps in the literature. However, the study also notes limitations inherent in bibliometric analyses, including potential biases toward more frequently cited or recent publications and the exclusion of works outside selected databases. Overall, this analysis not only reflects the dynamic and impactful nature of data-driven research but also guides future academic and practical endeavors in the field.

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.

Water stress in plants of the Asteraceae family: a bibliometric analysis

The Asteraceae family is one of the most diverse, with more than 23,000 species distributed globally, with sunflowers and chamomile as members. In Brazil, Asteraceae stand out for their diversity, in addition to their great economic and ecological importance. In recent years, the cultivation of several species of the family has increased due to their medicinal, ornamental and food potential, driven mainly by incentives from institutions such as EMBRAPA. Given the above, the present study analyzes the academic literature on Asteraceae using bibliometric methods through the Scopus platform. The results showed an annual growth of 4.15% in publications on "Asteraceae" and "water deficit" between 1990 and 2023, with a significant increase from 2017 onwards. It is concluded that research on Asteraceae and deficit water sector is expanding, with strong collaboration between researchers. However, there is a need for studies on control systems to develop sustainable management strategies, essential to face climate challenges and promote the resilience of Asteraceae.

Mapping the intellectual landscape of financial inclusion and sustainable development: a bibliometric analysis

Purpose This research mirrors a 360° probe into bibliometric review of various studies aimed to examine the relationship between financial inclusion and sustainable development (FI and SD). It also offers a conspectus of apex contributors, influential articles, key journals and potential avenues for further research in this crucial area of global progress. Design/methodology/approach The study is the abstract of a total 233 papers on the subject representing a period between 2012 and 2023 in the Scopus database in the domain. This investigation probes into publication trends, the most inexhaustible contributors by national journals, publications and authors. The study conducts keyword co-occurrence analysis and examines thematic evolution using Vosviewer and Biblioshiny. Findings The findings reveal four prominent clusters: (a) Financial growth with FI, (b) Economic Empowerment with Sustainable Goals, (c) Environmental Sustainability and (d) Microfinance and Digital Era. Furthermore, the study paves way for the future research agenda with the help of these research themes. Originality/value To the best of the authors’ knowledge, this paper is the first of its kind in deeply probing the literature on FI and SD from a bibliometric perspective. Hence the findings of this study is a powerful weapon for researchers and practitioners coupled with future research inquiries, offering valuable insights and establishing robust quantitative foundations for advancing knowledge in the realms of FI and SD.

Assessing Functional Ankle Instability in Sport: A Critical Review and Bibliometric Analysis.

Functional Ankle Instability (FAI) is the subject of extensive research in sports and other environments. Given the importance of accurately measuring this latent construct, it is imperative to carry out a careful assessment of the available tools. In this context, the aim of this review was to take an in-depth look at the six most cited measurement tools to assess FAI, with a specific focus on patient-reported outcome measures related to ankle and foot. Four electronic databases (Web of Science, Scopus, Pubmed, and SportDiscus) were searched (up to November 2022) to identify the six most cited questionnaires for assessing FAI. Our analysis showed that the most cited questionnaires are the following: the Lower Extremity Functional Scale (LEFS), the Foot Function Index (FFI), the Foot and Ankle Ability Measure (FAAM), the Foot and Ankle Outcome Score (FAOS), the Olerud and Molander Ankle Score (OMAS), and the Cumberland Ankle Instability Tool (CAIT). Each questionnaire was thoroughly assessed and discussed in three sections: Development, Reliability, and Summaries. In addition, bibliometric data were calculated to analyze the relevance of each questionnaire. Despite variations in terms of validity and reliability, conceptualization, structure, and usefulness, the six questionnaires proved to be robust from a psychometric point of view, being widely supported in the literature. The bibliometric analyses suggested that the FAOS ranks first and the FFI ranks sixth in the weighted average of the impact factors of their original publications.

A study of Electric Vehicle Market Development in 2015 – 2024: A Bibliometric Analysis

A study of Electric Vehicle Market Development in 2015 – 2024: A Bibliometric Analysis

Insights from 20 Years (2004–2023) of Supply Chain Disruption Research: Trends and Future Directions Based on a Bibliometric Analysis

Insights from 20 Years (2004–2023) of Supply Chain Disruption Research: Trends and Future Directions Based on a Bibliometric Analysis

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.

Implementation of Internet of Things (IoT) in Information System

This study employs bibliometric analysis to map the network of research collaborations within a specific academic field, identifying key contributors and the structure of their interconnections. By analyzing data from prominent academic databases, the study visualizes clusters of authors and assesses their influence based on publication and citation metrics. The findings offer strategic insights into the core research communities, highlighting central authors and potential areas for collaboration. Practical implications are discussed for academic institutions, research networks, and funding strategies, emphasizing how these entities can utilize the analysis to enhance research output and innovation. Limitations of the study include potential database biases and a focus on quantitative measures, which may not fully capture the dynamic and qualitative aspects of individual contributions. Despite these challenges, the bibliometric analysis provides valuable guidance for strategic decision-making in research and academic communities.

Research on the application of radiomics in breast cancer: A bibliometrics and visualization analysis.

Breast cancer is the most prevalent form of cancer worldwide. Therefore, improved disease detection has emerged as a focal point in clinical studies. At the forefront of innovation, radiomics has the capability to extract comprehensive insights from medical images, ultimately enhancing the accuracy of diagnostic procedures. There has been rapid growth in the field of radiomics research on breast cancer in the past few years. We explored pertinent research articles in the Web of Science Core Collection database to gain a thorough understanding of breast cancer radiomics. We used CiteSpace to conduct a bibliometric analysis of the annual distribution of different nations, institutions, journals, authors, keywords, and references in the field of breast cancer radiomics. GraphPad Prism software was used to examine and graph yearly and country-specific trends and the proportions of publications. The tools utilized for the visualization of science mapping included CiteSpace and VOSviewer. Of the 891 publications, most were original articles (731, 91.09%) and a few were reviews (160, 8.91%). Most academic research has been published in China and the United States. The study centers predominantly consisted of major academic institutions, such as Fudan University and the Chinese Academy of Sciences, with some of their members being prominent figures in the field. Pinker, Katja has published the largest number of research papers. The majority of these studies have been published in medical journals focusing on radiology and oncology in recent years. In the realm of cutting-edge medical research, the top two keywords, magnetic resonance imaging and machine learning stand at the forefront as current areas of intense focus. Breast cancer radiomics is advancing rapidly, presenting numerous opportunities and obstacles. Our study of the literature in this academic area aimed to pinpoint the primary themes addressed in the studies and anticipate prospective avenues for research.

Transformation and overview of audit in past 20 years: a bibliometric analysis

Transformation and overview of audit in past 20 years: a bibliometric analysis

Cultivating a culture of learning: the role of leadership in fostering lifelong development

Purpose Leadership is key to building a culture of continuous learning within organizations. This study aims to explore the pivotal role of leadership in creating a culture of constant learning within organizations by bibliometric and content analysis. It also introduces propositions and frameworks that emphasize the importance of fostering a growth mindset, encouraging knowledge sharing, promoting learning agility and leveraging technology to support lifelong development. Design/methodology/approach Using data from the Web of Science Core Collection, the author performed a complete analysis of publication features, collaboration networks and keywords in the field using VOSviewer software. Furthermore, drawing on social cognitive theory, this paper also presents propositions that integrate key concepts and strategies for fostering a culture of learning. Findings The data shows a large increase in publications on leadership and organizational learning, particularly since 2000, indicating an increasing interest and importance in this field. The author proposes leaders who demonstrate a commitment to continuous improvement and invest in learning resources empower their teams to embrace new challenges and explore innovative solutions. By fostering a culture of learning, organizations can enhance employee engagement, foster creativity and innovation and adapt more effectively to changing market dynamics. Originality/value This study offers a unique perspective on the role of leadership in driving learning and development initiatives. By implementing the principles, organizations can create a competitive advantage by cultivating a workforce that is agile, resilient and equipped to thrive in an ever-changing world.

Hospital Performance and Operational Management: A Bibliometric Review of Key Factors Affecting Effectiveness

This study employs bibliometric and co-authorship network analyses to investigate the landscape of research in hospital performance and operational management. Using VOSviewer, key themes were visualized to depict the concentration and evolution of research areas from technology integration to quality management within healthcare settings. The study identifies central researchers and maps collaborative networks, revealing both densely interconnected groups and isolated researchers. Practical implications are discussed for academic researchers, hospital administrators, and policymakers, highlighting areas for strategic development and potential collaboration. Limitations such as selection bias and the exclusion of qualitative impact underscore the need for cautious interpretation of the results. The study provides a foundational tool for stakeholders to understand the current research environment and to guide future healthcare management practices effectively.

Effects of exosomes and inflammatory response on tumor: a bibliometrics study and visualization analysis via CiteSpace and VOSviewer

BackgroundTumor is a new organism formed by abnormal hyperplasia of local tissue cells under the action of various tumorigenic factors. Inflammation plays a decisive role in inducing tumorigenesis, promoting tumor development, invasion and migration. More and more evidence indicate that exosomes are involved in regulating the formation of tumor microenvironment in the process of proinflammatory carcinogenesis, leading to the stimulation of anti-tumor immune response or systemic immunosuppression, and exosomes play a crucial role in the development of tumor.MethodsThe articles on tumor-derived exosomes and inflammatory responses from January 2005 to January 2024 were collected through Web of Science (WOS), and the inclusion criteria were “Article”, “Review Article” and “Early Access”. Articles obtained after excluding “Book Chapters”, “Editorial Material”, “Proceeding Paper”, “Meeting ” and “Retracted Publication”. Bibliometrics and visualization analysis were carried out on the obtained articles using CiteSpace6.2.R6 and VOSviewer1.6.20.ResultsTotal of 703 articles were included. The number of published documents showed a fluctuating growth trend year by year. A total of 61 countries have participated in the research on the effects of exosomes and inflammatory responses on tumors, among which China and the United States have the largest influence in this field. The obtained articles have been published in 60 journals around the world, among which PLOS ONE and NAT REV IMMUNOL are the journals with the most published articles and the highest co-citations respectively. The article from French author THERY C was cited the most (202 times). As a major researcher on the basic function of exosomes, THERY C established the gold standard for extraction, separation and identification of exosomes, and found that exosomes promote tumor metastasis through direct regulation of miRNA. Her research has had a huge impact on the field. Keyword co-occurrence analysis indicate that extracellular vesicles, inflammation, cancer, miRNAs, mesenchymal stem cells, drug delivery, gastric cancer and circulating endothelial microparticles are the research hotspot at present stage. The main keywords of the cluster analysis show that extracellular vesicles, human papilloma virus, myeloid cells, tumor macro-environment are the current research hotspots and frontier. The research hotspots have developed over time from the time chart of keywords and clustering, especially after 2016, exosomes have established extensive links with drug delivery, cancer treatment, inflammatory response and other fields. Tumor-derived exosomes stimulate receptor cells to secrete pro-inflammatory cytokines and growth factors, enabling immune and inflammatory cells to perceive the intracellular environment of cancer cells even when cancer cells do not express any tumor-specific antigens. For example, in anoxic environment, cancer cells can secrete exosomes containing pro-inflammatory factors to promote the invasion and metastasis of cancer cells. In the complex tumor microenvironment, both tumor cells and various stromal cells will secrete specific exosomes, and promote the development of tumors through various ways, so that tumor cells have drug resistance, and bring adverse effects on the clinical treatment of tumor patients. MicroRNAs and long noncoding RNA as hot keywords play important roles in regulating and mediating tumor development, and their specificity makes them important biomarkers for cancer prediction and diagnosis. Highlighting word analysis shows that microRNAs secreted by leukemia patients can effectively promote the proliferation of malignant cells and the development of cardiovascular diseases. At the same time, exosomes can induce the secretion of some microRNAs in patients, leading to cardiac repair and regeneration. Therefore, the detection and screening of microRNAs plays a crucial role in predicting the incidence of cardiovascular diseases in patients.ConclusionExosomes have attracted increasing attention due to their significant heterogeneity and ability to regulate the tumor immune microenvironment. However, tumor cell-derived exosomes accelerate tumor progression by enhancing immunosuppression and inflammation, increasing oxidative stress, and promoting angiogenesis, which may lead to poor prognosis.Graphical abstract

Bibliometric Analysis on Precision Agriculture Technology

This study employs a bibliometric analysis using VOSviewer to visualize the authorship network within the domain of precision agriculture, identifying key researchers and their collaborative relationships. By mapping the connections based on publications from a specified time period, the analysis highlights the central figures like Erickson, B, who play pivotal roles in the network and reveals the interlinkages among various contributors. The study provides insights into the structural dynamics of research collaborations and elucidates the influence patterns among the scholars. Despite the inherent limitations such as database selection bias and the static nature of the bibliometric snapshot, the results offer valuable implications for enhancing research collaboration, academic planning, and strategic positioning within the scholarly community. This approach not only aids in recognizing influential entities and emerging talents but also assists institutions and funders in making informed decisions that could drive impactful research in precision agriculture.