ArticleJournal of dental anesthesia and pain medicine2026
Advanced bibliometric analysis of computer-controlled local anesthesia research in pediatric dentistry incorporating productivity laws and network analysis.
Article in Journal of dental anesthesia and pain medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
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Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: This study aimed to provide a comprehensive bibliometric overview of the research on computer-controlled local anesthesia in pediatric dentistry by analyzing publication trends, citation patterns, collaborative structures, and thematic evolution within the field. Methods: A bibliometric analysis was conducted on publications indexed in Scopus, Web of Science, and PubMed from 2000 to 2024. After excluding duplicates, 80 eligible documents were included. Descriptive indicators, such as annual scientific production, citation performance, authorship patterns, and core sources, were analyzed using the Bibliometrix package (Biblioshiny). Keyword co-occurrence and co-authorship network visualizations were generated using VOSviewer to explore thematic structures and collaboration patterns. Results: The findings revealed a gradual increase in scientific output over time, with a marked rise after 2014 and a peak in publication activity from 2018 to 2024. A limited number of core journals accounted for a substantial proportion of the publications, consistent with Bradford's law. Author productivity followed Lotka's law, with most authors contributing to a single publication. Keyword co-occurrence analysis identified major thematic clusters centered on local anesthesia, pain management, anxiety, pediatric dental procedures, and behavioral considerations. Co-authorship analysis demonstrated that research collaboration was concentrated within a small number of author groups. Conclusions: This bibliometric analysis demonstrates the increasing scientific interest in computer-controlled local anesthesia in pediatric dentistry and identifies the field's core journals, key research themes, and collaborative structures. These findings provide a concise reference framework for future clinical and research-oriented studies on pediatric dental anesthesia.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.