Citation Analysis Research Articles

EXPRESS: Conceptual Research: Multidisciplinary Insights for Marketing

Conceptual research is fundamental to advancing theory and, thus, science. Conceptual articles launch new research streams, resolve conflicting findings, explain new phenomena, and integrate divergent research areas. Yet, compared with other disciplines, marketing publishes little conceptual research. This paper provides a multidisciplinary perspective of conceptual research to help increase the quality and quantity of conceptual research in marketing. First, the authors compare conceptual research approaches across marketing, management, psychology, and sociology to provide a synthesis of existing conceptual research frameworks. Second, using citation analyses, the authors provide insights into the academic impact of conceptual research across disciplines, across marketing domains, and over time; they also assess its impact outside of academia. Third, to assist researchers, the paper offers a step-by-step process or “how to” guide for developing high-impact conceptual research, based on insights from the multidisciplinary analysis and interviews with conceptual researchers from different disciplines. Fourth, drawing on the interviews and keyword analysis of recent conceptual marketing articles, the authors suggest emerging opportunities for conceptual research and how to increase the value of conceptual papers for practitioners.

A Bibliometric Analysis of Articles on Pit and Fissure Sealants During 2012 - 2023

Background: Pit and fissure sealants have become an essential preventive approach for occlusal caries, mainly in the young population. In the last decade, tremendous research has been done in sealant materials, effectiveness, application procedures, and clinical results; therefore, the trends, collaboration networks, and influential contributions need to be summarized in a structured manner. To conduct a deep bibliometric analysis of the published articles on pit and fissure sealants between 2012 and 2023, to track research trends, key contributors, collaborative networks, and gaps in the literature.Methods: Articles were obtained from Scopus, Web of Science, and PubMed databases with a bibliometric analysis of articles published from 2012 to 2023. The metrics were calculated using the package Biblioshiny in R while VOSviewer was used in the analysis of authorship, citation, and thematic network.Results: A total of 1,215 articles with 4,059 authors was analyzed, averaging 4.56 authors per paper, attesting to the high collaboration level. The United States, Brazil, and India are known to lead the sealant research activities. Sealant research tends to indicate the extent to which the world is going in the preventive dentistry field. Trends indicated a maximum output in 2015 and 2019 followed by a decline in subsequent years, indicating an overall annual decline in the rate of publication of -2.16%. Thematic analysis found that the most common themes of research were sealant efficacy, material innovation, and application techniques.Conclusion: Analysis Dramatic progresses in pit and fissure sealant research are highlighted due to an increasing global network. However, areas include improved long-term clinical follow up and optimizing retention when these sealants are put on under different conditions. Gaps should be addressed on how to innovate materials, form, and techniques and strategies for sealants that aim for evidence-based preventive recommendations and guidelines in public health dental practice.

Two decades of cross-border mergers and acquisitions research: A bibliometric analysis

Purpose The purpose of this study is to present the overall trend and dynamics in global mergers and acquisitions activity while suggesting future research avenues in this domain. The analysis covers two aspects to examine the main contours of the domain, that is performance analysis followed by thematic cluster analysis. Design/methodology/approach Bibliometric analysis has been used for examining 1,433 publications extracted from the Scopus database to identify the research trend between 2000 and 2021. With the help of VosViewer (a bibliometric software), bibliographic coupling, citation, co-authorship, keyword and network analysis have been carried out. Findings The analysis reveals that most of the research on cross-border mergers and acquisitions (CBMA) is concentrated in the context of developed markets, USA and UK being the largest. Most of the research till date is confined to wealth effects, value creation, corporate governance, socio-cultural aspects and various determinants of CBMA, all from the standpoint of the acquirer. Practical implications The present study highlights numerous opportunities for future research based on empirical analysis. There exists a dearth of studies around CBMA in the context of emerging nations which provides a relatively unexplored field to carry out research work. Originality/value The study makes use of a comprehensive list of keywords to have an extensive analysis. This is a pioneering study that has used bibliographic coupling of documents for content analysis and to the best of authors’ knowledge, no previous works on cross-border acquisitions have performed bibliographic coupling for this.

Artificial Intelligence and Deep Learning in Stock Prediction: A Bibliometric Review

Artificial intelligence (AI) and deep learning (DL) are advancing in stock market prediction, attracting the attention of researchers in computer science and finance. This bibliometric review analyzes 525 articles published from 1991 to 2024 in Scopus-indexed journals, utilizing VOSviewer software to identify key research trends, influential contributors, and burgeoning themes. The bibliometric analysis encompasses a performance analysis of the most prominent scientific contributors and a network analysis of scientific mapping, which includes co-authorship, co-occurrence, citation, bibliographical coupling, and co-citation analyses enabled by the VOSviewer software. Among the 693 countries, significant hubs of knowledge production include China, the US, India, and the UK, highlighting the global relevance of the field. Various AI and DL technologies are increasingly employed in stock price predictions, with artificial neural networks (ANN) and other methods such as long short-term memory (LSTM), Random Forest, Sentiment Analysis, Support Vector Machine/Regression (SVM/SVR), among the 1399 keyword counts in publications. Influential studies such as LeBaron (1999) and Moghaddam (2016) have shaped foundational research in 8159 citations. This review offers original insights into the bibliometric landscape of AI and DL applications in finance by mapping global knowledge production and identifying critical AI methods advancing stock market prediction. It enables finance professionals to learn about technological developments and trends to enhance decision-making and gain market advantage.

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.

Fishing Vessel Risk and Safety Analysis: A Bibliometric Analysis, Clusters Review and Future Research Directions

This study conducts a bibliometric analysis to evaluate the current research landscape and identify future directions in fishing vessel safety. Using the Scopus database, 285 relevant documents were collected and analyzed using the Biblioshiny app version 4.1 in the bibliometrix R package and VOSviewer version 1.6.20. The analysis generated an authors’ collaboration network, a three-field plot, and a keyword Thematic map, which were used for citation analysis, while VOSviewer was utilized to build networks between journals, articles, affiliations, countries, and keywords, enabling bibliographic coupling. The results identified four primary research clusters: Accident/Risk Analysis, Human Errors, Stability, and Operation. A detailed review of selected studies within these clusters was conducted, focusing on accident and risk factors, analytical methods, their strengths and weaknesses, and potential improvements. Based on these findings, a discussion was provided on future research directions in fishing vessel safety. The results suggest that future research should prioritize the integration of advanced technologies, enhancement of real-time monitoring capabilities, and promotion of international collaboration to ensure the safety of fishermen in hazardous environments.

Mapping the Landscape of Biomechanics Research in Stroke Neurorehabilitation: A Bibliometric Perspective

Background/Objectives: The incorporation of biomechanics into stroke neurorehabilitation may serve to strengthen the effectiveness of rehabilitation strategies by increasing our understanding of human movement and recovery processes. The present bibliometric analysis of biomechanics research in stroke neurorehabilitation is conducted with the objectives of identifying influential studies, key trends, and emerging research areas that would inform future research and clinical practice. Methods: A comprehensive bibliometric analysis was performed using documents retrieved from the Scopus database on 6 August 2024. The analysis included performance metrics such as publication counts and citation analysis, as well as science mapping techniques, including co-authorship, bibliographic coupling, co-citation, and keyword co-occurrence analyses. Data visualization tools such as VOSviewer and Power BI were utilized to map the bibliometric networks and trends. Results: An overabundance of recent work has yielded substantial advancements in the application of brain–computer interfaces to electroencephalography and functional neuroimaging during stroke neurorehabilitation., which translate neural activity into control signals for external devices and provide critical insights into the biomechanics of motor recovery by enabling precise tracking and feedback of movement during rehabilitation. A sampling of the most impactful contributors and influential publications identified two leading countries of contribution: the United States and China. Three prominent research topic clusters were also noted: biomechanical evaluation and movement analysis, neurorehabilitation and robotics, and motor recovery and functional rehabilitation. Conclusions: The findings underscore the growing integration of advanced technologies such as robotics, neuroimaging, and virtual reality into neurorehabilitation practices. These innovations are poised to enhance the precision and effectiveness of therapeutic interventions. Future research should focus on the long-term impacts of these technologies and the development of accessible, cost-effective tools for clinical use. The integration of multidisciplinary approaches will be crucial in optimizing patient outcomes and improving the quality of life for stroke survivors.

Surface ablation laser surgery: Bibliometric and visualized analysis from 2004 to 2023.

Surface ablation laser surgery has resurged in popularity recently because of its safety in correcting myopia and favorable postoperative corneal biomechanical properties. This study aimed to investigate the current focal points and future trends in surface ablation laser surgery over the last 2 decades. The Web of Science Core Collection was used as the primary data source to retrieve literature related to surface ablation laser surgery. All records, including full records and reference details, were exported in plain text format. VOSvivewer, CiteSpace, and Pajek were used to perform the bibliometric and visual analyses of the countries/regions, institutions, authors, journals, and keywords of relevant publications. A total of 3415 articles on surface ablation laser surgery were published in 253 journals. These articles were authored by 9681 individuals from 2751 institutions across 79 countries. The United States leads in terms of productivity and influence in this field. The Tehran University of Medical Sciences and Kymion GD were the most productive institutions and authors, whereas the University of Crete and Randleman JB were the most influential. The Journal of Cataract and Refractive Surgery was the most productive and influential in this area, and citation analysis revealed that the top 10 most-cited references focused primarily on postoperative wound healing and wavefront aberration. The keywords were grouped into the following 5 clusters: clinical effects and complications, special indications, iatrogenic corneal ectasia, haze, and pain management. High-frequency keywords in recent years included transepithelial photorefractive keratectomy, retreatment, transepithelial phototherapeutic keratectomy, and biomechanical properties. This bibliometric analysis examined the development trends, global cooperation, research hotspots, and future directions of surface ablation over the past 20 years.

Corporate governance characteristics and involvement in ESG activities: current trends and research directions

PurposeThis study aims to conduct a comprehensive literature review to examine the relationship between corporate governance characteristics and firms’ engagement in environmental, social and governance (ESG) activities. The review focuses specifically on academic papers published in ranked accounting and finance journals.Design/methodology/approachThe analysis combines a structured literature review with citation analysis, topic modeling using a machine learning (ML) approach and a manual review of selected articles published between 2000 and 2021.FindingsThis paper contributes to corporate governance and ESG literature by conducting an in-depth review, offering a comprehensive analysis of the existing findings and identifying future research directions. From the reviewed literature, this paper proposes the following thematic areas: board characteristics, ownership structure and their impact on a company’s engagement in ESG activities; CEO characteristics and their influence on a company’s involvement in ESG activities; corporate governance and ESG as sources for transparency and legitimacy; internal and external assurance of a company’s involvement in ESG activities; and gender diversity and a company’s involvement in ESG activities.Originality/valueThe study provides a comprehensive understanding of corporate governance and ESG literature. The innovative combination of methods, including ML and manual techniques, enhances the ability to identify key research topics and uncover research directions in the field. Moving forward, this paper suggests several promising directions for future research, including examining the influence of emerging technologies on ESG reporting and assessing the impact of regulatory changes and context on the link between corporate governance and firms’ involvement in ESG practices.

A Bibliometric Review of Indoor Environment Quality Research and Its Effects on Occupant Productivity (2011–2023)

Over the past decade, there has been a growing recognition of the importance of indoor environmental quality (IEQ) in influencing occupant productivity. Researchers have studied various buildings, including offices, schools, hospitals, and residential settings, to understand the relationship between IEQ and productivity outcomes. Studies have taken a multifactorial approach, considering multiple aspects of IEQ. Evidence from the literature review suggests that the quality of the indoor environment is an essential factor that affects the productivity of building occupants, and it is one of the fundamental issues in the development of societies. This area of research requires the responsible participation of researchers at all levels, as there is significant scope to contribute to knowledge. Therefore, this study aims to conduct a bibliometric analysis of the published literature on indoor environmental quality and its impact on building occupant productivity through the scientific literature available from one of the largest and most famous academic databases, Scopus; the study was determined in 2011 to 2023. The search used differential thresholds for IEQ keywords affecting building occupant productivity. Three discrete queries were performed, resulting in approximately 3861 publications. These were filtered by reducing false positives and excluding publications irrelevant to the research topic. The final results were 72 publications. This study also used Excel and VOS viewer to analyse and create graphs and network visualisation maps to show the growth of publications and their types, active countries and institutions for recovered publications, international collaboration, author keywords, active journals, and citation analysis. This study can significantly advance our understanding of building occupant productivity and enhance quality of life and work. Evaluating the research outputs is essential for highlighting contributions to knowledge and global collaboration in this research area. The potential impact of this study is not just theoretical. It can shape the future of our built environments and the lives of those occupying them.

Student Dropout: A Bibliometric Analysis of Influencing Factors Using VOS Viewer to Explore Trends, Impact, and Collaborative Patterns

This article presents a bibliometric review of academic research on student dropout. The aim is to identify trends, evaluate the impact of publications, and examine collaboration patterns within this field. The SCOPUS database is utilized to identify and classify the most relevant research based on journals, articles, authors, institutions, and countries. Additionally, VOSviewer software is employed to map the bibliographic material, using co-citations and keyword co-occurrence for scientific mapping. The results indicate a significant increase in the number of publications over a 10-year period, reflecting a growing interest in the topic. Citation analysis reveals that certain key articles have had a substantial impact, being frequently cited in subsequent work. It is also observed that researchers with publications in Q1 and Q2 ranked journals have made significant contributions to the literature, marking a strong influence in the field. In terms of collaboration, there is an increase in international partnerships, with a growing number of publications co-authored by researchers from different countries. Leading institutions in student dropout research include universities in the United States, Europe, and Latin America, noted for their high scientific output and influence on the topic. This bibliometric analysis not only provides a detailed view of trends and the impact of research on student dropout but also highlights the importance of international collaboration in advancing knowledge in this field. Received: 29 July 2024 / Accepted: 23 October 2024 / Published: 05 November 2024

Research trends of biomechanics in scoliosis from 1999 to 2023: a bibliometric analysis.

Despite the abundance of research on the biomechanics of scoliosis, there is a lack of a comprehensive bibliometric analysis. This study utilizes bibliometric methods to elucidate the research trends and hotspots within this domain. The data for this study were obtained from the Web of Science Core Collection and then analyzed using the open-source Bibliometrix R package and Citespace. The analysis encompassed 410 publications published from 1999 to 2023. There is a sustained increase in the number of publications within the field. Utilizing citation analysis and keyword analysis, the study identified key research focuses. Burst keyword analysis identified 19 keywords. The period from 1999 to 2023 has witnessed significant research attention on the biomechanics of scoliosis. The demographic shift towards an aging population has recently increased interest in ASD. Proximal biomechanical changes and transitional zones in PJK and PJF are hotspots in research, offering emerging scholars in this discipline valuable opportunities for exploration.

Specialization trends in economics research: A large‐scale study using natural language processing and citation analysis

AbstractThis article conducts a comprehensive analysis of specialization trends within and across fields of economics research. We collect data on 24,273 articles published between 1970 and 2016 in general research economics outlets and employ machine learning techniques to enrich the collected data. Results indicate that theory and econometric methods papers are becoming increasingly specialized, with a narrowing scope and steady or declining citations from outside economics and from other fields of economics research. Conversely, applied papers are covering a broader range of topics, receiving more extramural citations from fields like medicine, and psychology. Trends in applied theory articles are unclear.

Technical and vocational education training and industry collaboration: a bibliometric review

Technical and vocational education training (TVET) is an education and training process with a strong emphasis on industry practices that aims to generate competent workers in particular fields. Collaboration with industry in TVET has the potential to improve the quality and relevance of TVET programmes and equip students with the practical skills and knowledge demanded by employers. Thus, there is a need for a complete bibliometric study of research linked to collaboration between TVET and industry, despite the fact that the number of studies in this field continues to increase. The bibliometric analysis in this research which was extracted from Web of Science database is analyze using VOSviewer. The research conducted a descriptive analysis of the publication number trends, the top authors and leading journals in this field. Next, the researcher also analyzed the co authorship based on authors and countries, research trends, citation and keywords analysis as well as co citation analysis. The article found that most of the articles in this field are published by authors from developed countries where the majority is from the United States. Other than that, the recent research hotspot were also identified indicating the future direction of the research in this field.

Evaluation of scientific production in higher education using Scopus and Scimago: An analysis of the visibility and impact of educational publications

This study investigates the effectiveness of the Scopus and Scimago platforms. Analysis of the evaluation of university scientific production at the National University of Chimborazo (UNACH). A focus study was applied to improve the visibility and impact of educational publications. The perceptions and experiences of 25 teachers were analyzed through qualitative interviews. The main objective was to generate a theoretical approach that conceptualizes the effective use of the Scopus and Scimago platforms for the evaluation of scientific production, identifying their advantages, disadvantages and challenges in the context of UNACH. Semi-structured interviews were applied to 25 UNACH professors. The data were coded and analyzed using Atlas.ti version 24 software. Categories, codes, dimensions and subdimensions emerging from the testimonies were identified. The results revealed three main categories: "Visibility of Publications", "Technical and Training Challenges" and "Impact on Research". The professors highlighted that Scopus offers greater visibility and academic recognition, while Scimago has limitations in the analysis of citations and access. Technical and training barriers were identified, as well as a need for greater training and institutional support. The study concluded that, although Scopus and Scimago are valuable tools for the evaluation of scientific production. Improved training and institutional support are essential to maximize their effectiveness. In addition, it is recommended to consider Scopus Preview for up-to-date analyses and comparative studies to get a more complete view of studies.

A bibliometric analysis of research on physical activity and fitness among preschool children in Asia (2020-2024)

Background: Physical activity (PA) and physical fitness (PF) are essential for preschool children's development. However, rising childhood obesity and sedentary lifestyles are concerning. A comprehensive analysis of the research landscape is necessary to inform better interventions and policies. Research Objectives: This study aims to conduct a bibliometric analysis of research on physical activity and physical fitness among preschool children in Asia from 2020 to 2024. Methods: The analysis was based on publications from Scopus and Web of Science, focussing on keyword co-occurrence, citation analysis, and co-authorship networks. We used tools like ScientoPy and VOSviewer to assess key metrics such as the number of publications, citations, and influential contributors. Findings/Results: The study reveals significant trends, with a peak in research productivity in 2022, reflecting heightened global attention on early physical health. China, Japan, and Iran led contributions, with China dominating in publication volume. Notable researchers included Saeed Ghorbani and emerging contributors Ahmad Chaeroni and Amir Dana. Leading journals, such as the International Journal of Environmental Research and Public Health and Frontiers in Public Health, were prominent sources. Conclusion: Despite a decline in productivity post-2022, PA and PF research for preschoolers remains important. These shifting trends provide opportunities for researchers to explore new areas or innovate approaches. Significant contributions from Asian researchers also indicate a geographic shift in the global research focus. This study also highlights the importance of physical activity in preschoolers and how trends in scientific publications can help policymakers formulate more effective interventions to improve children's fitness.

Fabulous but Forgotten Fucoid Forests.

Fucoid forests are areas dominated by marine brown seaweed in the taxonomic order Fucales that, like the better-known marine foundation species-corals, kelps, seagrasses, salt marshes, and mangroves-are threatened by anthropogenic stressors. Fucoid forests are fabulous and important because they, like the better-known marine foundation species (i) span large areas, bioregions, and ecosystems, (ii) provide ecological functions such as high productivity, biodiversity, and habitat for iconic and endemic species, and (iii) support a variety of ecosystem services, like commercial fisheries, regulation of nutrients and carbon, and cultural values. Fucoid forests are, based on a new citation analysis, forgotten worldwide, because they are described orders of magnitude less than the better-known marine foundation species, in ecology and marine biology textbooks, in Google Scholar and Scopus databases over scientific literature, and in recent reports and reviews about seaweed forests. Fucoid forests would be less forgotten if more people acknowledge their biological importance and societal value more often and equate their importance to that of the better-known marine foundation species. To decrease the knowledge gap between fucoids and the better-known foundation species, researchers and science communicators could join forces under a broad "fucoid umbrella," establish stronger online presences, coordinate and collaborate on publications, and produce free eye-catching non-technical materials for teachers, managers, politicians, grass-root organizations, philanthropists, and funding agencies.

Global Research Trends on Factors Affecting Patient Satisfaction Levels in Hospital Inpatient Wards: A Bibliometric Analysis

ABSTRACT Research on patient satisfaction in hospital inpatient rooms is one of the main focuses in efforts to improve the quality of health services. Understanding the factors that influence patient satisfaction is crucial for policy makers and healthcare practitioners. Although various studies have been conducted, the global map of this research trend is still not clearly depicted. This study aims to fill this gap by conducting a bibliometric analysis of the literature related to patient satisfaction in hospitals, using a visualization approach to provide deeper insights into the dynamics of research in this area. The method used involved data collection of scholarly articles from 2014 to 2024 using Google Scholar's Publish or Perish application. A total of 50 articles were selected based on relevance to keywords such as Patient Satisfaction, Inpatient Room, Satisfaction Factors, Hospital, and Health Services. This data was then analyzed using VOSviewer to visualize the relationship between various elements in the literature through network visualization, overlay visualization, and density visualization. This approach mapped research trends, identified key clusters, and showed collaboration patterns and dominant topics. The results show that service quality and patient satisfaction are the main focus in the literature. Research clusters showed significant attention to basic aspects of healthcare such as hospital care and facilities, while demographic aspects and specific determinants were less explored. Citation analysis showed that articles providing comprehensive reviews or practical models received more attention. In addition, the density visualization revealed the dominance of quality of care aspects, but also showed the potential for further research on topics such as technological innovation and the impact of health policy. The conclusions of this study show that although much research has been conducted, there are still significant research gaps that can be further explored. This study maps global trends in patient satisfaction studies, and provides guidance for researchers to focus on less explored areas, thereby contributing to the improvement of healthcare quality in hospitals. Keywords: Patient Satisfaction, Service Quality, Hospital, Bibliometric Analysis.

Quantitative Analysis within Language Studies: An Analytical Views Based on the Bibliometrics Method

Abstract Background: While qualitative research methods have provided insights into linguistic structures and processes, the recent decades have witnessed a growing emphasis on quantitative approaches. Methodology: This study utilizes a bibliometric analysis based on the PRISMA guidelines to explore research trends in “Quantitative Analysis within Language Studies” from 2014 to 2024 by analyzing the metadata of 53,575 journal articles retrieved from a reputable database, i.e., Dimensions. Findings: The findings show that (1) there was a steady rise in publications throughout the period; (2) the total citations increased by over 113,000, representing a nearly 100-fold growth (1,141 citations in 2014 compared to 41,203 citations in 2024); (3) according to the ANZSRC 2020 classification, the field of Language, Communication and Culture has the highest number of publications (53,575), followed by Linguistics (32,121) and Language Studies (18,272); (4) there was the top 10 journals from 2014 to 2024; (5) there was a detail into the publication productivity and citation impact of 20 leading researchers; and (6) it has been extracted 1,028 terms concerning the examined query that classified into eight clusters. Conclusion: By integrating the insights gleaned from publication trends, citation analysis, leading authors, journal distribution, map-based visualizations, and cluster analysis of terms, this study provides a comprehensive and detailed picture of research trends within the search query. Originality: While current several research in quantitative language studies tends to delve into specific subfields, offering piecemeal understandings of the overall landscape, this study takes a distinct approach. By examining 53,575 articles content and metadata, this study aims to provide a more comprehensive perspective compare to previous fragmented insights.

Big Data in Tourism: A Bibliometric Analysis (2014-2024)

The emergence of big data and its related technologies has brought about novel economic models, industry phenomena, and relational networks, instigating revolutionary changes with significant value for tourism sustainability. This study conducts a bibliometric analysis of 212 articles (2014-2024) on big data in tourism from the Web of Science (WoS) Core Collection database, aiming to create a knowledge map based on big data in tourism. This study utilizes VOSviewer software to carry out citation analysis, co-citation analysis, co-authorship analysis, and keyword co-occurrence analysis, revealing trends in publications, national contributions, influential journals and authors, author collaborations, as well as the conceptual structure and research trends in the field of big data in tourism. The findings indicate a concentration of research in seven areas: machine learning, social network analysis, sustainability, tourism demand forecasting, artificial intelligence, smart tourism, and text mining techniques. The research has focused on emerging hot topics since 2022, including destination image, COVID-19, topic modeling, and urban tourism. This study maps the knowledge of big data in tourism, elucidates the academic evolution in this field, and offers future research directions for scholars in the domain.