Bibliometric Analysis of Published Articles on Bruxism

Aim: This study aims to perform a bibliometric analysis of bruxism-related research published between 2005 and 2024. By evaluating publication trends, citation impact, key contributors, and keyword networks, the study seeks to provide insights into the intellectual structure of the field and highlight emerging research directions. Material and Method: Data for this bibliometric analysis were extracted from the Web of Science database. The inclusion criteria consisted of original research articles published in English between 2005 and January 2025. The search term ‘bruxism’ was used to identify relevant publications. VOSviewer software was employed for network mapping to examine collaborations among authors, institutions, and countries. Citation metrics, keyword frequency, and journal distribution were analyzed to assess the academic impact of bruxism research. Results: A total of 2,874 relevant articles were identified, demonstrating a significant increase in bruxism-related research over the last two decades. The United States, Brazil, and Japan emerged as leading contributors. Frank Lobbezoo was identified as the most prolific author, while the Journal of Oral Rehabilitation published the highest number of articles. Keyword analysis revealed that ‘bruxism, ‘sleep bruxism,’ and ‘temporomandibular disorders,’ were the most frequently studied topics. Conclusion: The growing volume of bruxism research highlights its significance across multiple disciplines, including dentistry, neurology, and sleep medicine. Future studies should focus on standardizing diagnostic criteria, exploring genetic predispositions, and leveraging technological innovations for improved clinical outcomes.

Authors

Publication Details

Journal
Medical Records
Published
2025-05-09
DOI
https://doi.org/10.37990/medr.1659601
Primary Topic
Temporomandibular Joint Disorders
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Bibliometric Analysis of Published Articles on Bruxism

Tolga Bayar
Medical Records
Temporomandibular Joint Disorders
article

Bibliometric Analysis of Published Articles on Bruxism

Tolga Bayar
article en

Abstract

Aim: This study aims to perform a bibliometric analysis of bruxism-related research published between 2005 and 2024. By evaluating publication trends, citation impact, key contributors, and keyword networks, the study seeks to provide insights into the intellectual structure of the field and highlight emerging research directions. Material and Method: Data for this bibliometric analysis were extracted from the Web of Science database. The inclusion criteria consisted of original research articles published in English between 2005 and January 2025. The search term ‘bruxism’ was used to identify relevant publications. VOSviewer software was employed for network mapping to examine collaborations among authors, institutions, and countries. Citation metrics, keyword frequency, and journal distribution were analyzed to assess the academic impact of bruxism research. Results: A total of 2,874 relevant articles were identified, demonstrating a significant increase in bruxism-related research over the last two decades. The United States, Brazil, and Japan emerged as leading contributors. Frank Lobbezoo was identified as the most prolific author, while the Journal of Oral Rehabilitation published the highest number of articles. Keyword analysis revealed that ‘bruxism, ‘sleep bruxism,’ and ‘temporomandibular disorders,’ were the most frequently studied topics. Conclusion: The growing volume of bruxism research highlights its significance across multiple disciplines, including dentistry, neurology, and sleep medicine. Future studies should focus on standardizing diagnostic criteria, exploring genetic predispositions, and leveraging technological innovations for improved clinical outcomes.

Medical RecordsVol. 7(2)
Openalex Percentile: Top 89%
Temporomandibular Joint Disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.