Top cited articles in Oral Radiology: A bibliometric network analysis
Anastasia Fardi, Konstantinos Kodonas, Theodoros Lillis, Antigoni Delantoni, Nikolaos Dabarakis
TL;DR
This study analyzed the 100 most-cited articles in oral radiology to identify research trends and key topics in the field.
Contribution
The study provides a bibliometric network analysis of top-cited oral radiology articles, highlighting emerging trends and research hotspots.
Findings
Cone beam computed tomography was the most studied radiologic technique in the field.
Artificial intelligence showed increasing citation density despite being a newer topic.
Most top-cited articles focused on diagnosis, dose, geometric measurements, and image analysis.
Abstract
The present study aimed to identify and analyze the 100 top-cited articles published in oral radiology. Web of Science was used to conduct a comprehensive search from inception until 22 November 2023 in dental radiology. Basic information of the 100 top-cited articles was recorded. Biblioshiny and VOSviewer tools were employed for conducting thematic map and author keyword, title, and abstract terms analysis to elucidate the research trends and hotspots. Elsevier Scopus database was also used for citation comparisons. The citation count for the 101 most-cited articles ranged from 105-587. Most of them were original research studies with observational design conducted in diagnosis, dose, geometric measurements, and image analysis topics. Cone beam computed tomography was the most studied radiologic technique as author keyword co-occurrence analysis revealed and appeared as a basic…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsDental Radiography and Imaging · Artificial Intelligence in Healthcare and Education · Dental Research and COVID-19