Co-citation Analysis Research Articles

Audit and Sustainability in The Public Sector: an Analysis of International Scientific Production

Objective: To conduct a bibliometric analysis of the international scientific literature published on the topic of auditing and sustainability in the public sector through co-citation analysis, as proposed by Small (1973), and to identify the main topics discussed (Walter & Ribière, 2013). Theoretical Framework: The emphasis on the role of auditing in analyzing sustainability practices confirms that auditing plays a significant role in highlighting sustainability as an important aspect, which can contribute to mitigating the risk related to environmental violations (Hazaea et al., 2022). Method: To build and visualize bibliometric networks, as well as text mining from articles to visualize co-occurrence networks of key terms related to the topic, using the electronic tool Vosviewer (van Eck & Waltman, 2010). Results and Discussion: The term 'audit', with the majority of co-citations, demonstrates that the audit function is related to the Sustainable Development Goals. It was found that the most influential author is Professor PhD Carolyn J. Cordery, and the journal is Sustainability (Switzerland). Research Implications: As analyzed, the number of accounting and auditing journals found on the subject of this scientific study was quite limited. For future research, it is suggested to conduct studies using other databases. Originality/Value: The topic of audit and sustainability has been little studied in the Brazilian context (which differs from other countries analyzed); thus, identifying a research gap for further discussion on this subject.

Mapping the intersection of sudden cardiac death and COVID-19: a comprehensive bibliometric analysis (2020-2024).

A direct causal link between Sudden Cardiac Death (SCD) and COVID-19 is unproven, although current data suggest a plausible association. This study aims to map and analyze the intersection of research on sudden cardiac death and COVID-19 through a comprehensive bibliometric analysis. This study searched the literature by applying the keywords "COVID-19" AND "Sudden Cardiac Death (SCD)". Literature retrieved using the above keywords and published were included with a time limit from 1st January 2020 to 8th Aug 2024. The bibliometric analysis of COVID-19 and Sudden Cardiac Death highlights key research trends from 2020 to 2024, revealing a rapid surge in scientific output during the pandemic. 2,915 articles were retrieved, with 70.5% being original research, reflecting a strong focus on new empirical evidence. The peak in publications occurred in 2021, driven by the urgent need to understand the cardiovascular implications of COVID-19. However, a decline in publications and citations in subsequent years suggests a shift in research priorities and a potential saturation in initial research areas. Leading institutions like Harvard Medical School, Mayo Clinic, and the University of Pennsylvania played a significant role, with the U.S., China, and the U.K. being top contributors. Despite fewer publications, China's research had a notable impact, indicated by high average citations per article. Keyword analysis identified "COVID-19" and "SARS-CoV-2" as dominant themes, with related terms like myocarditis and heart failure reflecting major cardiovascular concerns. Co-citation analysis revealed seminal works that shaped the discourse, with influential articles by Xu Z et al. and Guo T et al. frequently cited. The collaborative nature of research, especially among top institutions and countries like the U.S., Italy, and the U.K., was evident in network analyses. This study provides a comprehensive overview of the research landscape, highlighting significant contributions, emerging themes, and future research directions in understanding and mitigating the cardiovascular impacts of COVID-19.

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

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

Global trends in tertiary lymphoid structures: a bibliometric analysis from 2014 to 2023.

Tertiary lymphoid structures (TLS) are increasingly recognized for their role in immunity. Despite growing interest, a systematic bibliometric analysis of TLS-related research has been lacking. To provide a comprehensive overview of current research trends and hotspots, we conducted a bibliometric analysis using data from the Web of Science Core Collection. We retrieved TLS-related publications from the Science Citation Index Expanded within the Web of Science Core Collection from January 2014 to December 2023. Co-occurrence analysis with "VOSviewer" identified current status and research hotspots, while "CiteSpace" was used for co-citation analysis to assess knowledge evolution and bursts. Thematic evolution was explored using bibliometrics to identify emerging keyword trends. Additionally, we examined country/region, institutional, and author contributions and collaborations. Tables were created using Microsoft Word. A total of 785 publications were analyzed, showing a continuous growth trend from 2017 to 2023, indicating escalating interest in TLS among researchers. Leading countries in TLS research were China (231 publications), the United States (212 publications), and France (89 publications). The most productive institution and author were the "Institut national de la santé et de la recherche médicale" (70 publications) and Catherine Sautes-Fridman (21 publications), respectively. Key topics included TLS, B cells, and immunotherapy. Recent research has focused on mechanisms linking TLS with cancers, such as immunotherapy, tumor microenvironment, tumor-infiltrating lymphocytes, prognosis, and immune checkpoint inhibitors, highlighting an expanding area of study. Additionally, TLS' potential as a biomarker for predicting immunotherapy efficacy across different cancer types remains a burgeoning research direction. This study provides a comprehensive analysis of global TLS-related publications, revealing key literature metrics and identifying influential articles and emerging research concerns. These findings contribute valuable insights into the role of TLS in immunotherapy and suggest future directions for this dynamic field.

Bibliometric Analysis of Research Trends and Prospective Directions of Lung Microbiome.

The lung microbiome has emerged as a pivotal area of research in human health. Despite the increasing number of publications, there is a lack of research that comprehensively and objectively presents the current status of lung microbiome-related studies. Thus, this study aims to address this gap by examining over two decades of publications through bibliometric analysis. The original bibliographic data of this study were obtained from the Web of Science Core Collection, focusing on publications from 2003 to 2023. The analysis included the data extraction and examination of authors, affiliations, countries, institutions, abstracts, keywords, references, publication dates, journals, citations, H-indexes, and journal impact factors. A total of 845 publications were identified, showing an increasing trend in both publications and citations over the years, particularly in the last decade. The analysis highlighted the most productive authors, institutions, and countries/regions, and identified potential partners for interested researchers. Co-citation analysis revealed that lung microbiome- and infectious/pulmonary disease-related studies are at the forefront of the field. The hotspots and frontiers of the lung microbiome field have progressed from basic composition to exploring specific mechanisms and the clinical value of diseases. In conclusion, this study provides a comprehensive overview of the current research status and trends in the field of the lung microbiome over the past two decades and highlights the areas that need more attention and research efforts. It offers valuable insights for researchers and institutions and identifies key hotspots and frontiers, which can serve as references for related researchers and future research.

The impact of eco-innovation on companies’ financial performance: an analysis of key contributions and trends in the literature

Purpose This study aims to present a bibliometric analysis combined with a systematic review of the empirical literature to verify whether the relationship between the impact of eco-innovation and the financial performance of companies is corroborated. Design/methodology/approach This study uses bibliometric analysis and systematic review methods on 122 articles from Web of Science, Scopus and Science Direct, combining quantitative frequency and co-citation analysis with a qualitative exploration of themes in eco-innovation research. Findings In their research on eco-innovation, the authors found that there is a need to better understand the impact of eco-innovation on companies’ financial performance in the knowledge gaps. Research limitations/implications Research on eco-innovation identifies knowledge gaps and directions for future studies exploring environmental strategies to boost corporate commitment to sustainability. Originality/value This study finds that eco-innovation is decisive for enhancing operational performance and understanding its effect on companies’ financial outcomes, offering perspectives on how environmental practices influence organizational finance.

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.

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.

Hotspots and future trends of dermatofibrosarcoma protuberans.

Dermatofibrosarcoma protuberans (DFSP) is a moderately malignant soft tissue sarcoma with localized infiltrative growth. The extensive surgical scope and high recurrence rate of DFSP brings dysfunctional, aesthetic, psychological and economic problems to patients. The aim of this study is to explore the global publication characteristics, research hotspots and future trends of DFSP over the past 32 years via an intuitive visualized way. The Web of Science Core Collection (WoSCC) database was searched for papers related to DFSP published from 1990 to 2022. Then bibliometric analysis of these publications was performed, including collaborative networks, co-citation analysis of journals and references, and cluster analysis of keywords. A total of 1588 papers were retrieved between 1990-2022. The United States was the most prolific country, followed by China. The article Imatinib Mesylate in Advanced Dermatofibrosarcoma Protuberans: Pooled Analysis of Two Phase II Clinical Trials, received most citations. Research hotspots and future trends are mainly focused on disease diagnosis, COL1A1-PDGFB fusion gene, drug and surgical treatment, fibrosarcomatous transformation, and immunotherapy. The research on DFSP faces several clinical challenges. This study provides novel insights into future research directions and scientific decisions for DFSP.

Beyond the Fingerprint: Exploring the Bibliometric Landscape of Emerging Synthetic Biometrics with a Focus on Synthetic Signatures

Purpose: This paper aims to conduct a comprehensive bibliometric analysis focusing on synthetic biometrics, particularly synthetic signatures, as an emerging alternative to traditional biometric methods such as fingerprints and iris scans. The study explores the research landscape to identify trends, influential studies, and emerging technologies in this innovative field. Methodology: The research employs bibliometric analysis techniques to systematically map the academic discourse surrounding synthetic biometrics, with a specific emphasis on synthetic signatures. Bibliometric methods include citation analysis, co-citation analysis, and cluster analysis to uncover patterns, connections, and trends within the research literature. These methods provide a retrospective insight into the progression of synthetic signature research and its scholarly impact. Findings/Results:The findings reveal several key insights: Emerging Trends: Synthetic signatures are increasingly recognized for their potential in enhancing security and identification systems beyond traditional biometrics. Influential Studies: Specific studies and authors are identified as pivotal in shaping the discourse and development of synthetic signature technologies. Technological Advancements: The analysis highlights advancements in synthetic biometrics, showcasing how these technologies are evolving to meet the challenges of robust and adaptable verification methods. Challenges and Opportunities: The study identifies both potential and challenges associated with synthetic signatures, providing a nuanced understanding of their feasibility and application in real-world scenarios. Originality/Value: This paper contributes to the existing literature by offering a structured analysis of the bibliometric landscape of synthetic biometrics, particularly synthetic signatures. By mapping out the academic discourse and identifying key trends and technologies, it provides valuable insights into the potential and challenges of this innovative field. The findings are expected to guide future research directions and policy considerations in the development and adoption of synthetic biometric technologies. Paper Type: Review Paper.

A Bibliometric Analysis of the Top 100 Cited Qualitative Research Papers in Dentistry From Scopus (1998-2024).

This bibliometric analysis aimed to identify trends among the top 100 most cited qualitative research articles in dentistry. Articles were retrieved from the Scopus database and screened based on predefined inclusion and exclusion criteria. The final set of 100 articles was then analyzed in R Studio (RStudio Team, Boston, MA) to assess performance metrics, including publication and citation trends, citation-publication relationships, and science mapping. Science mapping offers insights into citation analysis, co-citation analysis, bibliographic coupling, co-word analysis, and co-authorship patterns. The top 100 articles had citation counts ranging from 11 to 606, with publication dates spanning from 1998 to 2021, and were coauthored by 351 individuals across 35 different journals. Most papers originated from Europe, followed by North America and Asia. The United Kingdom contributed the most articles (27), and BMC Oral Health was the most frequently cited journal. Among the 351 authors, Hallberg U. was the most cited. The predominant study design was descriptive quantitative. Keyword analysis revealed diverse thematic groupings, reflecting the broad scope of qualitative research in dentistry. Key trending topics included dental care, attitude to health, child, health behavior, dental caries, clinical competence, psychological aspects, and motivation. This bibliometric evaluation provides an overview of qualitative research trends in dentistry and offers valuable insights to guide future research, emphasizing the need for high-quality qualitative studies across various dental fields to strengthen evidence-based practice.

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.

Global research hotspots and trends of Buyang huanwu decoction: A visual analysis of the literature based on CiteSpace.

Buyang huanwu decoction (BYHWD) has shown significant clinical efficacy in the treatment of several diseases, particularly stroke. However, bibliometric research has not been comprehensive. BYHWD articles were collected from literature databases published from January 1, 1915, to March 31, 2024, including the China National Knowledge Infrastructure, Weipu, Wanfang, Pubmed, Scopus, and Web of Science Core Collection. Knowledge network graphs of annual publication volume, authors, institutions, countries, keywords, and references were constructed. Nine thousand two hundred thirty-eight Chinese literature and 559 English articles published between 1915 and 2024 showed an overall upward trend. The countries, institutions, journals, and authors with the highest output were China, Hunan University of Chinese Medicine, Guangzhou University of Chinese Medicine, Guangxian Cai, and Changqing Deng, respectively. Research teams outside China were located at Daejeon University, Gachon University, Aga Khan University, Yale University, etc. The results of keyword co-occurrence and burst analysis included clinical applications, animal experiments, action mechanisms, clinical efficacy, and safety evaluations based on systematic reviews and meta-analyses. Literature co-citation analysis revealed that BYHWD was highly correlated with neuroprotection and reduction of cerebral ischemia/reperfusion injury. Both Chinese and English literature have shown overall growth trend since 1984 and 1989, respectively. Clinical applications, pharmacological effects, mechanisms, active ingredients, evaluation of clinical efficacy and safety, modified BYHWD, methods, and biological techniques may be hotspots and focus of future research on BYHWD. Hotspot analytical methods and biological techniques include systematic reviews, meta-analyses, data mining, network pharmacology, and molecular docking. Future valuable research fields may include studies on neuroprotection, anti-inflammatory activity, ischemic stroke, bioactive compounds, and their underlying mechanisms.

Exploring and investigating the complementarity and multidimensionality of innovation for sustainability research: Past present and future

Innovation and sustainability are distinct but complementary topics, and hence, complex, multidimensional, and multidisciplinary. It is thus natural that research on ‘innovation for sustainability’, though important, is largely scattered and unstructured. This article aims to rectify this gap by developing a systematic study, quantitatively depicting the knowledge structure and the intellectual progress of innovation for sustainability in the business management literature. To this end, we applied bibliometric analysis to study 1842 innovation for sustainability articles from the ‘Web of Science’ database. Our robust methodology included deploying the document co-citation analysis, co-word analysis, and thematic evolution to trace the intellectual structure and conceptual structure of the innovation for sustainability field. Further, through a thorough qualitative content analysis, we developed a comprehensive conceptual framework comprising drivers, innovation practices, and performance indicators of innovation for sustainability. Additionally, we examined the latest trending articles based on total local citations (TLC) and total global citations (TGC) to delineate the potential future research directions. Overall, thus, this research contributed to the innovation for sustainability literature by combining a tripartite methodology of bibliometric analysis, qualitative content analysis, and analysis of trending articles to determine the intellectual structure and potential future research directions.

A bibliometric analysis of studies conducted over the last 10 years on cardiovascular disease risk identification and prevention in primary care

Objective: This bibliometric analysis was conducted to determine the trends of studies on cardiovascular disease risk identification and prevention in primary care from 2013 to 2024 and visualize the latest developments. Methods: The data were collected in February-March 2024 from the database “Web of Science Core Collection,” the analysis was carried out using the VOSviewer program. The change in the number of publications of the published articles by year, author, country, and institution citation analyses, country, institution, and author collaboration analyses, journal and author co-citation analyses, and keyword analyses were evaluated. Results: Five hundred and ninety-two authors from 64 countries and 377 institutions contributed to 443 studies published in 80 journals between 2013 and 2024 on determining and preventing cardiovascular disease risk in primary care. "BMC Family Practice" was the journal in which most articles were published, and "Circulation" was the most cited. The first three countries that support published articles most are the United States, England, and Australia. Focusing on the topics "blood-pressure control", "coronary-artery calcium", "physician-pharmacist collaboration", "low-density lipoprotein cholesterol", "health-risk assessment", "pollution", "primary care", "coronary heart disease", "prevention", "cardiovascular disease" and "mortality" will help fill the gap in the field. Conclusions: This bibliometric analysis has shown increasing interest in studies related to cardiovascular disease risk and prevention in primary care. Primary prevention guidelines are important resources in addressing risk factors. Global collaborations and long-term studies are necessary in this field, led by developed countries with a high disease burden.

Evolving Trends in College Students' Health Education: A Bibliometric Analysis.

This study offers new insights into college students' health education (CSHE) regarding its research status, hot spots, and trends by conducting a comprehensive bibliometric analysis of this field in the past decade (2014 to 2024). Specifically, we analyzed publication trends and used the bibliometric method with CiteSpace software to explore collaborative networks, detailed co-citation status, and co-occurrence dynamics based on 1358 Web of Science Core Collection articles. Our results indicate increased relevant publications and the collaboration networks show complex institutional and regional partnerships. At the same time, co-citation and co-occurrence analyses highlight interdisciplinary research themes that encompass public health. The study particularly underscores the emerging importance of mental health, global health, and innovative educational approaches. These findings reveal trends in CSHE research and provide crucial insights for future studies, stressing the need for interdisciplinary collaboration and creative strategies to tackle student health challenges. Moreover, in practice, this study contributes to promoting and practicing targeted health intervention policies and countermeasures aimed at enhancing student well-being, such as establishing dedicated health education courses, providing specialized training for teachers, conducting regular health assessments, and providing funding for CSHE.

Glucagon-like peptide-1 agonists in cardiovascular diseases: a bibliometric analysis from inception to 2023.

In recent years, glucagon-like peptide-1 (GLP-1) agonists have garnered increasing attention for their potential cardiovascular benefits beyond glycemic control in patients with diabetes. Understanding the research landscape surrounding GLP-1 agonists and cardiovascular diseases (CVDs) is crucial for informing clinical practice and guiding future research endeavors. This bibliometric analysis aimed to comprehensively assess the scholarly output and trends in this field, shedding light on the evolving landscape of GLP-1 agonists' role in cardiovascular health. The publications concerning GLP-1 agonists in CVDs were gathered from the Web of Science Core Collection, and visualizations were created utilizing Excel 2019, Cite Space, and VOS viewer software. Using bibliometric and visual methods, the research hotspots and trends regarding GLP-1 agonists in cardiovascular diseases were pinpointed. Additionally, a thriving interest in GLP-1 agonists research within cardiovascular medicine was observed, with a notable surge in publications from 2016 onwards. The analysis revealed that the United States and China are the leading contributors, accounting for over 50% of the total publications. The University of Copenhagen and the University of Toronto emerged as the most prolific institutions in this field. Co-citation analysis highlighted the influential role of landmark clinical trials, such as the LEADER, ELIXA, and EXSCEL. Keyword trend analysis identified the emergence of newer GLP-1 agonists, such as tirzepatide and semaglutide, as well as a growing focus on topics like 'healthy obesity' and chronic kidney disease. These findings suggest that the research landscape is evolving, with a focus on expanding the therapeutic applications of GLP-1 agonists beyond glycemic control. Overall, this bibliometric analysis provided insights into the current state and future directions of research on GLP-1 agonists and their impact on cardiovascular health, guiding future research endeavors, and informing clinical practice.

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.

Influencer Marketing: A Citation and Co-citation Analysis within Business and Management Domains

Influencer marketing has emerged as a popular approach businesses use to incorporate social influence into their operations and marketing strategies. It seems to be a useful and cost-effective strategy. It ensures a broad reach to highly engaged audiences and is frequently not interpreted by consumers as advertising. Many companies use influencers on social media to market their products to certain audiences. Carryminati, Khusha Kapila, Bhuvan Bam, and Riaz are famous social media influencers. The purpose of this study is to use bibliometric analysis to compile the body of knowledge on influencer marketing in the business and management area from 2018 to 2024. BiblioShiny software was used to analyze 462 papers that were taken out of the Scopus database. This paper conducts citations and co-citations analysis, identifies recent trends, and offers useful background information on influencer marketing. The results show a notable and quick rise (54.5%) in this sector, indicating a noticeable increase in interest. The USA and Hong Kong emerged as leading nations in terms of total citations (3050) and average article citations (107.7), respectively. Social media, Commerce, Marketing, Consumer behavior, perception, and artificial intelligence are the trending topics of influencer marketing research, where artificial intelligence is the latest trend. Lou C (1650) and Yuan S (1335) are the most influential authors in terms of citation. “Journal of Retailing and Consumer Services” is the top source with maximum citations (1943) and articles (37). Various bibliometric studies have been carried out to explore the concept of influencer marketing in general or other specific domains. There is a scarcity of bibliometric research that assesses the influencer marketing literature within the business and management domain or through citation and co-citation analysis. This study addresses this research gap. These findings will have significant implications that can greatly benefit researchers, decision-makers, and professionals in crafting policies. This bibliometric study concludes with limitations, and recommendations for further study.

Mapping research on International Student Mobilities in higher education: Achievements and the agenda ahead

In this comprehensive review, we analyzed nearly 10,000 publications indexed in the Scopus database over the past seven decades using bibliometric analysis and science mapping visualization techniques to delineate the scholarly discourse on International Student Mobilities (ISM) in higher education and uncover significant trends. The findings reveal that the field has a long history with remarkable growth since 2005. English-speaking nations dominate knowledge production, but European and Association of Southeast Asian Nations (ASEAN) countries have also made noteworthy contributions. Co-citation analyses highlight the interdisciplinary nature of ISM research, drawing from diverse disciplines across psychology, social sciences, and the humanities. Eight prominent thematic strands underpin the foundations of ISM research, with a strong emphasis on exploring international students’ social, emotional, and cultural adaptation within university settings. Implications drawn from these trends provide a nuanced perspective for navigating the terrain of ISM in higher education, offering guidance for future research and policy considerations.