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Article Citation - Scopus: 1The Rise of Artificial Intelligence in Vascular Surgery: a Bibliometric Analysis (2020-2024)(Turkish National Vascular and Endovascular Surgery Society, 2024) Tosun, Burcu; Demirkılıç, UfukAim: This study aims to perform a comprehensive bibliometric analysis of academic publications on AI applications in vascular surgery, identifying key authors, influential journals, prevalent research themes, and international collaborations, focusing on infrastructure, conceptual structure, and social networks within the field.Material and Methods: The analysis covers 815 documents published from 2020 to 2024, retrieved from the Web of Science Core Collection database. Metrics analyzed include publication growth, citation rates, key contributors, leading journals, prevalent themes, and international collaborations.Results: The research output showed a 15% annual growth rate, peaking in 2023. Despite increasing publications, the average citation rate per article declined. The study identified 5039 contributors with significant international co-authorship. Leading authors included Lareyre F and Raffort J, and the \"Journal of Vascular Surgery\" was the most influential journal. The USA and China led in contributions, reflecting robust research infrastructure. Key themes include risk assessment, diagnostic methods, and patient management, highlighting AI's role in enhancing diagnostic accuracy, treatment planning, and patient outcomes in vascular surgery.Conclusion: The analysis highlights the rapid growth and collaborative nature of AI research in vascular surgery. Key contributors, influential journals, and emerging themes were identified, emphasizing AI's role in improving diagnostics and patient outcomes. Limitations include the focus on one database and a five-year period, suggesting future research should include more databases and a longer timeframe. Exploring high-impact studies and practical applications will further advance the field.Article Mapping the Literature on Thermal Tourism: A Bibliometric and Content Analysis(Conscientia Beam, 2025) Alqaifi, Faten; Tengilimoglu, Dilaver; Aras, Ilknur ArslanThis study explores and maps the existing literature on thermal tourism to provide comprehensive insights and inform future research directions. The research design is based on a bibliometric analysis of 48 documents published between 2013 and 2023 and indexed in the Web of Science database. Data were processed and visualized using Microsoft Excel and Bibliometrix, followed by a content analysis of 42 English-language articles to capture thematic developments in the field. The findings indicate that, despite a temporary decline during the COVID-19 pandemic, publications on thermal tourism have shown strong growth and recovery, with an annual growth rate of 46.65%. The most significant contributions originated from Portugal, China, Spain, Taiwan, Turkey, and Japan, with research disseminated across 37 journals. Four central themes were identified: (1) tourist behaviors and satisfaction, (2) demand and motivations, (3) quality and resource management, and (4) strategic and sustainable development. Among these, tourist behaviors and satisfaction emerged as the most prominent research area, representing 38.10% of the analyzed literature. This paper addresses a gap in the literature by mapping the knowledge landscape in the relatively underexplored field of thermal tourism, highlighting its growth potential and proposing a future research agenda. The practical implications suggest that recognizing these trends and themes can help policymakers, industry stakeholders, and academics develop strategies to enhance sustainable practices and expand opportunities in thermal tourism.
