Collaboration Patterns Research Articles

Augmented reality in biology education: A systematic literature review

Augmented Reality (AR) has seen extensive utilization in the modern era, driven by rapid technological advancements. The aim of the Systematic Literature Review (SLR) method is to meticulously analyze and assess previous research on a specific phenomenon in a systematic and explicit manner. The search was conducted on the Scopus database using the keyword "Augmented Reality," resulting in 209 relevant articles. Out of this total, 35 articles passed the journal selection criteria and were deemed ready for analysis. The article selection process was carried out using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) model for inclusion and exclusion purposes. Since 2019, there has been a rising trend in research on augmented reality. The issue of AR can be approached through quantitative, qualitative, mixed-methods, and even development research (R&D). The most prominent author in AR research is NF Saidin. The data shows that the keyword "augmented reality" is strongly associated with "education" and "biology." These keywords are linked to concepts such as teacher training, augmented reality tools, teaching, biology learning, learning performance, e-learning, and virtual reality. Themes related to AR in education focus on teacher training in biology, which applies e-learning or mobile learning based on AR and virtual reality (VR). Articles were published by authors from 28 different countries, with authors predominantly from Asia. There are 15 institutions worldwide that fund AR research and publications. It can be concluded that the focus on AR in biology education will continue to grow, supported by the ongoing emphasis on technology in the modern era. This trend is reflected in the distribution year, research types/methods, instruments, areas of study, authors, keywords, authors’ nationalities, and collaboration patterns.

Using multimodal learning analytics as a formative assessment tool: Exploring collaborative dynamics in mathematics teacher education

AbstractBackgroundTraditionally, understanding students' learning dynamics, collaboration, emotions, and their impact on performance has posed challenges in formative assessment. The complexity of monitoring and assessing these factors have often limited the depth and breadth of insights.ObjectivesThis study aims to explore the potential of multimodal learning analytics as a formative assessment tool in math education. The focus is on discerning how collaborative discourse behaviours and emotional indicators interplay with lesson evaluation performance.MethodsUsing undergraduate students' multimodal data, which includes collaboration data, facial behaviour data, and emotional data, the study explored the patterns of collaboration and emotion. Through the lens of multimodal learning analytics, we conducted exploratory data analysis to identify meaningful relationships between specific types of collaborative discourse, facial expressions, and performance indicators. Moreover, the study evaluated a machine learning model's potential to predict target learning outcomes by integrating data from multiple channels.ResultsThe analysis revealed key features from both discourse and emotion data as significant predictors. These findings underscore the potential of a multimodal analytical approach in understanding students' learning process and predicting outcomes.ConclusionsThe study emphasizes the importance and feasibility of a multimodal learning analytic approach in the context of math education. It highlights the academic and practical implications of such an approach, along with its limitations, pointing towards future research directions in this area.

Comprehensive evaluation of digital technology's effects on the supply chain of prefabricated construction

PurposeDigital technology, which is regarded as a prominent and transformational force in modern society, encompasses a wide variety of technology that utilize digital data to process, store and transfer various types of information. Digital technologies have continually been introduced as cutting-edge information tools in order to achieve effective management of vast information that arises from the prefabrication supply chain. However, without a sufficient performance evaluation, drawbacks of technology investment, such as financial losses and ineffective resource allocation, keep occurring, which hinders the widespread implementation of digital technologies. This study demonstrates a comprehensive evaluation of digital technologies’ effects on the prefabrication supply chain based on multi-criteria decision analysis (MCDA) theory.Design/methodology/approachSpecifically, the targeted digital technologies and project constraints were first identified through a systematic literature review. The effects of the digital technologies were then scored using a questionnaire survey. The TOPSIS model was established to quantitatively rank the effectiveness of selected digital technologies.FindingsOverall, BIM technology shone out in the rankings and is regarded as the most beneficial digital solution by multi-stakeholders to the existing constraints, such as working efficiency. Collaboration patterns between different stakeholders and technology integration trend were also indicated.Originality/valueCompared with existing outcomes, this study specifically focused on examining the effects of digital technologies on the prefabrication supply chain, the most significant link in the process for prefabricated structures. New findings indicate the overall performance that considered both multi-stakeholders’ preferences and project constraints. The quantitative evaluation presents a comprehensive understanding of digital technologies’ effects, enabling industrial participants to reach well-informed, strategic and profitable investment decisions.

Addressing Whiteness in communication scholar composition and collaboration across seven decades of ICA journals (1951–2022)

Abstract The persisting legacies of colonialism have called for scholars to be more active in their efforts to dismantle and decenter the normative foundations of Whiteness in scholarly practices. This article examines the intersectional structures of authorship and collaboration patterns among scholarly teams within five flagship Communication journals. We used a bibliometric analysis to examine the race, gender, institution, and institution type of 11,292 authors from five International Communication Association journals between 1951 and 2022. We found that the dominating representation of white, male, and U.S.-based scholars is decreasing, but stark disparities within the composition of and collaborations among Communication scholars still remain. We offer insights into how these patterns reproduce structural inequities and propose future directions for scholars to support and participate in the ongoing work to dismantle and decenter Whiteness in academia. All data, code, and analyses are available at https://osf.io/8bszj/.

Mapping the landscape of spatial literacy research: Bibliometric analysis

The study aims to provide a comprehensive overview of spatial literacy research through a bibliometric analysis, focusing on its development, essential themes, key contributors, and collaboration patterns. Using statistical text-mining and citation link-based clustering techniques, 690 spatial literacy publications from the Scopus database were analyzed, with data extracted on February 18, 2024. The analysis revealed a steady increase in spatial literacy publications, peaking in 2009, and identified key peaks in cited papers in 1996, 2003 and 2012, with a subsequent decline post-2012. Document profiles primarily consisted of articles (60.14%) and sourced from journals (67.97%), with The Journal of Geography being the most active title. Notably, Newcombe, N.S., emerged as the most productive author, while the work of Bednarz and Kemp received the highest number of citations. ‘The Separability of Working Memory Resources for Spatial Thinking and Language Processing: An Individual Differences Approach’ by Shah and Miyake was identified as the most influential document, garnered a minimum of 100 citations per written document. Additionally, the United States stood out with both the largest number of publications and the highest citation impact in spatial literacy research. This bibliometric analysis provides valuable insight into the spatial literacy research landscape, guiding for future research directions and fostering collaborations in this field.

Evolution of Educational Leadership: A Bibliometric Analysis of International Publications

Abstract Research on educational leadership has received significant scholarly attention for over half a century, resulting in a vast body of literature on the subject. Numerous studies and inquiries have highlighted that educational leadership is an exceedingly complex and vital phenomenon. However, a gap persists in scholarly discourse concerning the presentation of this knowledge base through bibliometric analysis. This study seeks to provide an overview of the evolution of this concept by identifying articles published in journals indexed in the Web of Science Core Collection (WoS) database between 1993 and 2024. The search employed terms such as "educational leadership", „educational management” "leadership in education," "school leadership”, „teacher leadership”, „style leadership in education” and „school improvement”yielding an initial total of 3089 articles. Subsequently, following the application of inclusion and exclusion criteria, 1583 studies were retained for analysis. The research encompasses the general profile of articles, the annual distribution of article frequency, the most prolific researchers, journals, and countries by article count, the most influential articles based on citation count, the most frequently recurring author keywords, and the year of publication of these articles. The contribution of this study lies primarily in highlighting the systematic methodologies employed in research analyses in educational leadership and management. Additionally, collaborative patterns among authors, universities, and countries are presented and analyzed. The conclusions provide valuable insights for researchers into the detailed evolution of educational leadership through the structuring of existing literature in the field. Furthermore, based on these findings, some suggestions have been made for identifying new research themes in this field, both conceptually and empirically.

Trajectories of biomedical research leading to Nobel Prize-winning discoveries.

Significant advancements in public health come from scientific discoveries, but more are needed to meet the ever-growing societal needs. Examining the best practices of outstanding scientists may help develop future researchers and lead to more discoveries. This study compared the comprehensive work of 49 Nobel laureates in Physiology or Medicine from 2000 to 2019 to a matched control of National Institutes of Health (NIH)-funded biomedical investigators. Our unique data set, comprising 11,737 publications, 571 US patents, and 1693 NIH research awards produced by pre-Nobel laureates, was compared to a similar data set of control researchers. Compared to control researchers, pre-Nobel laureates produce significantly more publications annually (median = 5.66; interquartile range [IQR] = 5.16); significantly fewer coauthors per publication (median = 3.32; IQR = 1.95); consistently higher Journal Impact Factor publications (median = 12.04; IQR = 6.83); and substantially more patents per researcher (median = 5; IQR = 14). Such differences arose from nearly identical cumulative NIH award budgets of pre-Nobel laureates (median $25.3M) and control researchers. Nobel laureates are neither hyper-prolific (>72 papers per year) nor hyper-funded (>$100M cumulative). An academic age-specific trajectory graph allows aspiring researchers to compare their productivity and collaboration patterns to those of pre-Nobel laureates.

A Bibliometric Analysis of Islamic Business Ethics in the Context of the Global Economy

This study employs bibliometric analysis to explore the scholarly landscape of Islamic business ethics within the context of the global economy. Through systematic data collection from major academic databases and the use of VOSviewer for network visualization, this research identifies key thematic clusters, author collaboration patterns, evolving research trends over time, and highlights underexplored areas with potential for future investigation. The findings reveal a robust focus on Islamic business ethics' application in banking and economic growth, the integration of technology in finance, and the sector's response to global crises such as the COVID-19 pandemic. Less saturated topics identified include Islamic tourism and culture, Islamic social finance, and comparative studies between Islamic and conventional banking systems. The study also maps out author collaborations, emphasizing the community's role in advancing research. These insights provide a comprehensive overview of the field, revealing both its current state and promising directions for future scholarly work.

Bibliometric Analysis on Agronomy Topics

This study employs bibliometric analysis and network visualization techniques to explore the evolution and current trends in agronomy research over the past decade. Through a series of VOSviewer visualizations, we analyze thematic clusters, research trends over time, author collaborations, and potential research opportunities within the field. Our findings indicate a dynamic shift from foundational topics such as soil and nutrient management towards more complex issues like crop-specific adaptations and environmental stress responses. Additionally, the analysis of co-authorship networks reveals robust collaborative patterns among scholars, emphasizing both dense clusters and isolated research activities. The study also identifies emerging research areas, including sustainable pest management and the agronomic impact on food quality, highlighting gaps and opportunities for future research. This comprehensive overview not only charts the scientific landscape of agronomy but also serves as a guide for future scholarly endeavors aimed at enhancing sustainable agricultural practices.

Microbial dysbiosis in systemic lupus erythematosus: a scientometric study.

Systemic lupus erythematosus (SLE) is a chronic autoimmune disease. Mounting evidence suggests microbiota dysbiosis augment autoimmune response. This study aims to provide a systematic overview of this research field in SLE through a bibliometric analysis. We conducted a comprehensive search and retrieval of literature related to microbial researches in SLE from the Web of Science Core Collection (WOSCC) database. The retrieved articles were subjected to bibliometric analysis using VOSviewer and Bibliometricx to explore annual publication output, collaborative patterns, research hotspots, current research status, and emerging trends. In this study, we conducted a comprehensive analysis of 218 research articles and 118 review articles. The quantity of publications rises annually, notably surging in 2015 and 2018. The United States and China emerged as the leading contributors in microbial research of SLE. Mashhad University of Medical Sciences had the highest publication outputs among the institutions. Frontiers in Immunology published the most papers. Luo XM and Margolles A were the most prolific and highly cited contributors among individual authors. Microbial research in SLE primarily focused on changes in microbial composition, particularly gut microbiota, as well as the mechanisms and practical applications in SLE. Recent trends emphasize "metabolites," "metabolomics," "fatty acids," "T cells," "lactobacillus," and "dietary supplementation," indicating a growing emphasis on microbial metabolism and interventions in SLE. This study provides a thorough analysis of the research landscape concerning microbiota in SLE. The microbial research in SLE mainly focused on three aspects: microbial dysbiosis, mechanism studies and translational studies (microbiota-based therapeutics). It identifies current research trends and focal points, offering valuable guidance for scholars in the field.

How Do Teachers Collaborate in Informal Professional Learning Activities? An Epistemic Network Analysis

Teachers turn to many sources for support and professional learning, including social media-based communities that have shown promise to help teachers access resources and facilitate productive exchanges. Although such online communities show promise, questions about their quality for providing a suitable learning environment remain insufficiently answered. In this study, we examine how teachers’ engagement on Twitter (now known as “X”) may adhere to characteristics of high-quality professional development (PD) activities. In that, we employ advanced conversational analysis techniques that extend the primarily descriptive methods used in prior research. Specifically, we collected data from three Twitter communities related to Advanced Placement Biology (N = 2,040 tweets, N = 93 teachers). Qualitative two-cycle content analyses derived both tweet content and sentiment. Using epistemic network analyses, we examined the collaborative structures to examine how participation patterns can identify characteristics of high-quality online PD. Results indicate that some teachers use Twitter with a content focus and coherent to their individual contexts and prior knowledge. Notably, differences in collaboration and participation patterns by teachers’ overall activity level hint at the existence of an online community of practice. More active teachers communicated more about how their individual contexts relate to instruction, whereas less active teachers exhibited more targeted engagement, for instance, related to sharing teaching resources and organizing learning opportunities. Overall, this study illustrates how Twitter may provide a meaningful learning environment to teachers so that it can serve as a relevant avenue for their professional learning.

A bibliometric analysis of literature published on ChatGPT and GPT

Purpose This study aims to analyse the literature published on ChatGPT and generative pre-trained transformer (GPT) available through Scopus to identify the top countries, institutions, authors, journals and titles in terms of publishing and citations in the area.The research also intends to determine the collaborative trends among countries and authors as well as top-used keywords on the topic identified from the analysed literature. Design/methodology/approach The researchers searched the Scopus database to collect and assess the literature on the topic. The paper used six applications such as Biblioshiny, VosViewer, Python, MS Access and Excel and Endnote to collect and analyse the literature. Findings It is found that European countries such as the USA, the UK and Germany took the lead in terms of publishing and impact in the area but the USA stood first with 90 publications and 1,720 citations in this connection. Likewise, the organization “Rheinisch-Westfälische Technische Hochschule Aachen” scored the top position regarding publishing, but Open AI remained on top for getting the highest citations (1,384). Apropos, the author “Choi, Y” produced the highest number of publications. The research also shares the collaborative patterns, top journals and publications in the area, as well as the top-used keywords on the topic. Originality/value To the best of the authors’ knowledge, this is the first study that shares a bibliometric analysis of literature published on GPT and ChatGPT. The research not only fills the research gap on the topic but also shares implications for relevant stakeholders and future research directions for future researchers.

Exploring the Intersections of Artificial Intelligence, Organizational Behavior, and Communication Dynamics in the Modern Workplace

Purpose: While organisations struggle to improve efficiency and productivity, the interaction between AI, organisational behaviour, and communication dynamics tends to be complex in the rapidly evolving modern workplace. Moreover, understanding the implications of this intersection is necessary to encourage a balanced and effective workplace. Hence, employing AI technologies in organisational structures introduces challenges such as workforce adaptation, psychological impact, and communication patterns. This research explored how AI influences organisational behaviour and communication dynamics in the modern workplace. Study design/methodology/approach: This study used a mixed method to explore organisational behaviour and communication dynamics across diverse industries comprehensively. This questionnaire aimed to gather respondents’ experiences, focusing on organisational behaviour and communication dynamics. Furthermore, in-depth interviews were conducted with key stakeholders (n = 13) to obtain additional insights into goodness and trustworthiness. These interviews offered more depth and richness, providing insights into organisational settings. This mixed methodology ensured a complex understanding of the research problem, leveraging quantitative and qualitative data to enhance the analysis. Findings: The research findings revealed the pathways to how AI influences organisational behaviour and communication dynamics. Initial analysis of survey data and interviews offered insights into employee perceptions, identifying potential challenges and opportunities. One major trait emerging from data analysis is employees’ unstable levels of apprehension and enthusiasm regarding AI integration. While many view it as a mechanism for efficiency, productivity, and innovation, others indicate distress about job shifts and loss of autonomy. Understanding and adopting these opposing insights are fundamental for encouraging a positive organisational ecosystem for AI readiness and adoption. Originality/value: By examining the impact of AI on employees’ attitudes, collaboration, and communication patterns, this research contributes viable insights for organisations navigating the integration of AI into their structures.

Publication Trends and Hot Spots of ChatGPT's Application in the Medicine.

This study aimed to analyze the current landscape of ChatGPT application in the medical field, assessing the current collaboration patterns and research topic hotspots to understand the impact and trends. By conducting a search in the Web of Science, we collected literature related to the applications of ChatGPT in medicine, covering the period from January 1, 2000 up to January 16, 2024. Bibliometric analyses were performed using CiteSpace (V6.2., Drexel University, PA, USA) and Microsoft Excel (Microsoft Corp.,WA, USA) to map the collaboration among countries/regions, the distribution of institutions and authors, and clustering of keywords. A total of 574 eligible articles were included, with 97.74% published in 2023. These articles span various disciplines, particularly in Health Care Sciences Services, with extensive international collaboration involving 73 countries. In terms of countries/regions studied, USA, India, and China led in the number of publications. USA ot only published nearly half of the total number of papers but also exhibits a highest collaborative capability. Regarding the co-occurrence of institutions and scholars, the National University of Singapore and Harvard University held significant influence in the cooperation network, with the top three authors in terms of publications being Wiwanitkit V (10 articles), Seth I (9 articles), Klang E (7 articles), and Kleebayoon A (7 articles). Through keyword clustering, the study identified 9 research theme clusters, among which "digital health"was not only the largest in scale but also had the most citations. The study highlights ChatGPT's cross-disciplinary nature and collaborative research in medicine, showcasing its growth potential, particularly in digital health and clinical decision support. Future exploration should examine the socio-economic and cultural impacts of this trend, along with ChatGPT's specific technical uses in medical practice.

The Intellectual Landscape of Nanovaccines: A Bibliometric Perspective on Scientific Progress and Future Directions.

This bibliometric study provides a comprehensive analysis of the burgeoning field of nanovaccine research, leveraging data sourced from Scopus and employing the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) flowchart for the meticulous screening, inclusion, and exclusion of relevant studies. Utilizing sophisticated bibliometric tools, such as Biblioshiny and CiteSpace, we dissected the expansive literature to unearth critical insights into the annual scientific output, identifying key contributors and pivotal publications that have shaped the domain. The analysis delineates the most influential authors, sources, and globally cited documents, offering a macroscopic view of the field's intellectual structure and growth trajectory. Trend topics and thematic mapping underscored the evolution of research foci, from fundamental immunological mechanisms to cutting-edge nanomaterial applications. Factorial analysis and keyword co-occurrence networks revealed the intricate associations and thematic concentrations within the literature. The study's robust methodology also pinpointed the keywords exhibiting the strongest citation bursts, signifying emergent areas of intense academic interest. Networks of cited authors illuminated collaborative patterns among scholars, while timeline network visualizations of country collaborations depicted the global interplay in nanovaccine development. Crucially, this study identified notable research gaps and practical implications, suggesting directions for future investigation and highlighting the translational potential of nanovaccines in public health and personalized medicine. This bibliometric investigation not only maps the current landscape but also charts a course for the trajectory of nanovaccine research, emphasizing its role as a cornerstone of innovative immunotherapeutic strategies.

Progress and landscape of disaster science: Insights from computational analyses

This study identifies trends in disaster science research as well as knowledge gaps at a broad scale in order to help underpin and inform future research in the area. A numerical analysis of 58,106 peer-reviewed articles over four decades reveals key research themes and clusters, their temporal variation of activity as well as the influential studies that have played a key role in their development. Results indicate that what we recognize as contemporary disaster science has only shown discernible patterns of activity and knowledge foundation formation since the 1990s. Disaster research currently constitutes approximately 0.23 % of all academic papers published per year. The initial and intermediate phases of the development of the field have been unsystematic and fragmented, with the focus of the field fluctuating for almost two decades until recently when research clusters have shown signs of stabilizing. It is observable that, over the last few years, more attention has been allocated to mitigation, response and recovery by focusing on issues such as the psychological impacts of disasters, reducing exposure to disasters and building community resilience to cope and recover from disasters. This is in contrast with earlier years where the focus was predominantly on preparedness and prevention. Research in different countries has been highly correlated with the types of disasters that occur in their regions, highlighting the relevance of the local situatedness and context in disaster research. The recent emergence and explosive growth of a research cluster linked to flood detection, mapping and hazard assessment is particularly notable, marking the sharpest growth of a single research cluster ever recorded in this field. A similar trend, though of a smaller magnitude, is observable in relation to research on wildfire hazard. Overall, flood-related research has proven one of the dominant themes, with multiple clusters detectable on the topic, each with their own distinguishable knowledge foundation (i.e., set of references). The pattern of collaboration among disaster researchers is shifting from predominantly domestic research towards international collaborations (currently reaching about 1/3 of all disaster-related papers each year), a sign of recognition to the value of cross-cultural and interdisciplinary perspectives in disaster research.

Revolutionizing Maritime Trade: Unveiling The Innovative Sea Toll Framework Through Advanced Livestock Folding Container Ship Science Mapping

Objective: This study aims to trace the evolution of literature concerning sea tolls and livestock folding containers from 2014 to 2023, focusing on understanding research trends, sources, influential countries, author contributions, and major research areas. Method: Utilizing the Crossref database, the study collected 1000 relevant publications related to sea tolls and livestock folding containers. A science mapping approach, assisted by VOSviewers, was employed for analysis. Research Findings and Discussions: The analysis revealed several key findings. Firstly, it identified the emergence of sea tolls and livestock folding containers as significant research areas, indicating their growing importance. Secondly, the study identified dominant research topics and areas of interest, categorized into frequent, moderate, and rare levels. Additionally, it highlighted influential countries and sources contributing to the literature in this field. Furthermore, the study provided insights into author contributions and collaboration patterns, shedding light on the collaborative nature of research in this domain. Research Implications: This study provides a comprehensive roadmap of current research directions in the fields of sea tolls and livestock folding containers. The findings of this study can guide future research endeavors, facilitate interdisciplinary collaboration, and inform policy decisions aimed at enhancing maritime transportation and economic development. Originality/Value: The significance of this study lies in its comprehensive analysis of literature related to sea tolls and livestock folding containers, spanning a decade from 2014 to 2023. By employing a science mapping approach, the study offers a systematic overview of research trends and contributions in this field.

Theory and Practice on Non-Probabilistic Data and Analysis: a bibliometric review

Abstract This bibliometric study aims to summarize the academic landscape of non-probabilistic data research, based on an examination of scientific output indexed in Web of Science and Scopus databases. It employs multiple methods to analyse and describe the collected corpus, including co-authorship and keyword co-occurrence networks to investigate patterns of collaboration and predominant research themes. Co-authorship analysis identified several robust research clusters, while keyword later spotlighted key thematic areas in the field. Countries, types of documents, categories, year of publication, citations and other metrics were also produced, and implications discussed. The findings present a structured overview of the non-probabilistic data research landscape, delineating the research trends, prominent authors, and emerging themes.

Student and teacher impact on the use of telepresence classrooms

AbstractHybrid learning environments saw significant growth due to the COVID-19 pandemic but persist beyond it, one example is the telepresence classroom. This classroom allows the connection of two classrooms in distance locations into a singular one. The technology in a telepresence classroom includes a camera, multiple projectors, microphones, and speakers to emulate a single learning space despite the distance, potentially overcoming some of the challenges presented by hybrid settings. However, the telepresence classroom presents technological and logistical complexities for the teachers. Thus, it is essential to understand the impact on the teacher agency, as well as on the workload of both students and teachers. Therefore, two collaborative learning sessions were conducted, utilising the collaborative learning flow pattern (jigsaw) in the telepresence classroom. From these experiments, the teacher and students workload was measured using the NASA-TXL questionnaire and supplemented with the Epistemic Network Analysis model to pinpoint key actions impacting the workload. The teacher agency was also assessed with another questionnaire. Finally, an interview was conducted with the teacher to gather more insights regarding the workload and agency. Results revealed a teacher workload score of 65.33 and 67.33, while student averages stood at 49.03 and 58.65 on a 0-100 scale. The data collected also served to identify potential factors influencing the workload, such as available time or the need for increased effort. Potential factors affecting teacher agency, such as decision-making challenges and tool limitations, were also identified.

A Bibliometric Analysis of Literature on the Impact of Diet on Oral Health.

The complex connection between oral health and dietary habits is fundamental to holistic well-being. Oral health is closely linked to dietary choices, both as a reflection and a factor in overall health. This bibliometric analysis investigates clinical trials published in the PubMed database spanning six decades to understand the landscape of research on the impact of diet on oral health. The analysis reveals a fluctuating yet generally increasing trend over the decades, with significant growth periods interspersed with occasional declines, culminating in a recent slight decrease in research output. Withstrong collaborativenetworks, Devizio and Proskin emerge as primary contributors.The University of Sydney has published the maximum number of clinical trials. Thematic clusters highlight diverse research facets, including physiological measurements, socio-economic influences, and biochemical aspects. The evolution in research priorities from experimental studies to longitudinal evaluations underscores the interdisciplinary nature of the field. The analysis of country-wise research output revealed that the United States, Germany, and Australia lead in scientific research output, with notable contributions to the global landscape. While larger countries like China and India are represented, their frequencies are relatively lower, suggesting potential areas for further exploration. Collaboration patterns vary between countries, influencing the global impact of their scientific output. Despite the limitations inherent in database selection, this study integrates bibliometric and thematic analyses to offer comprehensive insights into research trends and priorities.