Scientometric analysis of smart tourism using CiteSpace
Scientometric analysis of smart tourism using CiteSpace

Summary/Abstract: This scientific article is devoted to the scientometric analysis of one of the new and relevant areas in economics – smart tourism, which has become widespread in the last 10-12 years. The research was conducted based on the using of materials from the Web of Knowledge database (Web of Science Core Collection: Science Citation Index Expanded, Social Science Citation Index, Arts and Humanities Citation Index Conference Proceedings Citation Index – Science, Conference Proceedings Citation Index – Social Science and Humanities Book Citation Index – Science, Book Citation Index – Social Science and Humanities, Emerging Sources Citation Index) for 2008-2022, which was later uploaded to CiteSpace 5.8.R3 to implement the tasks set in the research article: analysis of co-citations, including by authors; cluster analysis by keywords. It should be noted that the authors presented a capacious description of the WoS database array itself: from the perspective of the country component, institutes / universities / educational institutions and funding organizations, key sections, citation, types of documents, research area, Web of Science indexes / categories, etc. Also given a brief description of the authors whose work in the field of smart tourism is the most cited today. In general, it should be noted that the overall result of the search query «Smart Tourism» amounted to 724 documents, which were further used in the «Plain Text» format for scientometric analysis, which made it possible to determine the current and prospective areas of research in the field of smartification of tourism services, as well as build networks that visualize them visually. The author’s methodology for conducting scientometric analysis was also developed, starting from the moment the data array was received, and ending with the final visualization, which is universal, adaptive and complex, and can be used by any researcher when conducting a scientometric analysis of this kind in any of the branches of science, including in tourism.

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