Scientometric analysis of 100-most-cited papers on AI in dentistry

Abstract

To analyze the bibliometric characteristics, impact and visibility of 100 most-cited papers to provide a comprehensive overview of global trends and research hotspots on the application of Artifical Intelligence (AI) to dentistry. A search was performed in the Web of Science Core Collection (WoS-CC) database in February 2024. The papers were displayed in descending order according to the number of citations in WoS-CC. Two independent researchers selected the 100 most-cited papers. Scopus and Google Scholar were used to compare the number of citations with WoS-CC. The following data were extracted from the papers: title, authors, number and density of citations, institution, country, continent, year of publication, journal title and keywords. Collaborative networks were generated using the VOSviewer software. Top 100 most-cited papers published in the last 10 years were cited 3128 times. United States accounted for majority of the publications (30.7%), the Charit´e Medical University of Berlin had the most papers (10%) and Schwendicke F was the author with the highest number of papers (16%). Journal of Dentistry (16%) published the most papers. A total of 363 different keywords were found among the 100 most-cited papers, with emphasis on “artificial intelligence” (51 occurrences). The 100 most-cited papers were mainly epidemiological studies, narrative reviews and systematic reviews. The study summarized the progressive global trends of AI research in dentistry.

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