BIBLIOMETRIC ANALYSIS OF ARTIFICIAL INTELLIGENCE APPLICATIONS IN TOURISM WITH THE SCIENTIFIC MAPPING TECHNIQUE

The aim of this study is to reveal the research trends of scientific publications on artificial intelligence (AI ) in the tourism sector using scientific mapping techniques.For this purpose, a total of 1.277 studies published between 2003 and 2024 were analyzed without restrictions on publication type and year using the Bibliometrix package based on the R programming language.This study aims to comprehensively examine the development and innovations in the literature on the intersection of AI and tourism.The analysis focuses on identifying the most influential sources, authors, and institutions, as well as collaboration and citation networks and scientific production patterns.Through dynamic keyword analyses and co-occurence networks, the study reveals the direction and academic impact of research in this field.The results show that scientific production on tourism and AI has grown significantly over time, especially since 2015.Most of the studies originate from countries such as the United States, China, and the United Kingdom, and the most frequently studied themes include personalized recommendation systems, chatbots, and demand forecasting.The high proportion of co-authored papers and dense citation networks indicate strong interdisciplinary collaboration.These findings suggest that AI research in tourism is both growing in volume and deepening in thematic diversity.