Characteristics, Impact, and Visibility of Scientific Publications on Artificial Intelligence in Dentistry: A Scientometric Analysis

Ricardo Velasquez, John Barja-Ore, Emma Salazar-Salvatierra, Margot Gutiérrez-Ilave, Cesar Mauricio-Vilchez, Roman Mendoza, Frank Mayta-Tovalino

Research output: Contribution to journalArticlepeer-review


Aim: To analyze the bibliometric characteristics, impact, and visibility of scientific publications on artificial intelligence (AI) in dentistry in Scopus. Materials and methods: Descriptive and cross-sectional bibliometric study, based on the systematic search of information in Scopus between 2017 and July 10, 2022. The search strategy was elaborated with Medical Subject Headings (MeSH) and Boolean operators. The analysis of bibliometric indicators was performed with Elsevier’s SciVal program. Results: From 2017 to 2022, the number of publications in indexed scientific journals increased, especially in the Q1 (56.1%) and Q2 (30.6%) quartile. Among the journals with the highest production, the majority was from the United States and the United Kingdom, and the Journal of Dental Research has the highest impact (14.9 citations per publication) and the most publications (31). In addition, the Charité – Universitätsmedizin Berlin (FWCI: 8.24) and Krois Joachim (FWCI: 10.09) from Germany were the institution and author with the highest expected performance relative to the world average, respectively. The United States is the country with the highest number of published papers. Clinical significance: There is an increasing tendency to increase the scientific production on artificial intelligence in the field of dentistry, with a preference for publication in prestigious scientific journals of high impact. Most of the productive authors and institutions were from Japan. There is a need to promote and consolidate strategies to develop collaborative research both nationally and internationally.

Original languageEnglish
Pages (from-to)761-767
Number of pages7
JournalJournal of Contemporary Dental Practice
Issue number8
StatePublished - 2022
Externally publishedYes


  • Artificial intelligence
  • Bibliometric analysis
  • Deep learning
  • Dentistry
  • Machine learning


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