A Bibliometric Analysis of the Field of Artificial Intelligence in Cariology

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dc.contributor.authorGülşen, İbrahim Tevfik
dc.contributor.authorErdem, Ruşen
dc.contributor.authorGenç, Yavuz Selim
dc.contributor.authorYaliniz, Gülbeddin
dc.date.accessioned2026-01-24T12:20:42Z
dc.date.available2026-01-24T12:20:42Z
dc.date.issued2024
dc.departmentAlanya Alaaddin Keykubat Üniversitesi
dc.description.abstractBackground: The aim of this study is to examine the development trends and dynamics of research on the use of artificial intelligence in dental caries diagnosis, to identify the strengths and limitations of the existing literature, and to guide future research. Methods: A literature search was conducted using the Web of Science database, covering articles published before June 3, 2024. Pilot searches were conducted, and 883 studies were reached. After the specified scanning and filtering processes, the study was carried out on 270 publications. In the bibliometric analysis, the Biblioshiny R package as well as the features of Web of Science and VOSviewer software were used for visualizations. Microsoft Excel was utilized to tabulate the data. Results: There is a general increase in the number of articles published each year. A total of 3081 citations were made to publications on the use of artificial intelligence in cariology. The average number of citations per article was found to be 11.41, and the H index was 29. The most cited country was Germany (581 citations), and the most influential author was Falk Schwendicke. On the basis of institutions, the highest contribution was made by Charite University Medicine Berlin (19 articles, 475 citations). Conclusion: Since 2008, and particularly since 2018, the utilization of artificial intelligence (AI) in the investigation of dental caries and oral and dental diseases has garnered increasing interest. Artificial intelligence (AI) can be said to be a groundbreaking discovery that will be increasingly applied in various branches of dentistry. © 2024, Selcuk University. All rights reserved.
dc.identifier.doi10.15311/selcukdentj.1503076
dc.identifier.endpage200
dc.identifier.issue2
dc.identifier.scopus2-s2.0-105007656426
dc.identifier.scopusqualityN/A
dc.identifier.startpage192
dc.identifier.urihttps://doi.org/10.15311/selcukdentj.1503076
dc.identifier.urihttps://hdl.handle.net/20.500.12868/4500
dc.identifier.volume11
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSelcuk University
dc.relation.ispartofSelcuk Dental Journal
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_Scopus_20260121
dc.subjectArtificial intelligence
dc.subjectBibliometric
dc.subjectDental caries
dc.titleA Bibliometric Analysis of the Field of Artificial Intelligence in Cariology
dc.title.alternativeDiş Çürüklerinde Yapay Zeka Kullanımının Bibliyometrik Analizi
dc.typeArticle

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