Artificial Intelligence Applications in Periodontology: A Bibliometric Analysis

Şehrazat Ziya Muluk; Murtaza Yelbay; Merter Güçlü

doi:10.65022/clindentres.1771972

Artificial Intelligence Applications in Periodontology: A Bibliometric Analysis

Abstract

Background and Aim: To provide the first bibliometric analysis focused exclusively on artificial intelligence (AI) in periodontology, mapping publication trends, contributors, collaboration networks, and thematic hotspots. Materials and Methods: The Web of Science Core Collection was searched on May 8, 2025 using AI- and periodontologyrelated terms. Only original research articles were included. Bibliographic data from 206 eligible records were analyzed in VOSviewer (v1.6.20) to generate networks of co-authorship, keyword co-occurrence, country- and institution-level collaboration, citation patterns, and source journals; minimum thresholds were applied for robust clustering. Results: Relevant literature began in 2005, with a sharp rise after 2018 and a peak in 2024. The United States and China were the most productive countries, and Türkiye ranked third. In the co-authorship network, Kaan Orhan occupied the most central position. Dominant keywords were “periodontitis,” “machine learning,” and “deep learning,” indicating an emphasis on diagnostic/classification tasks. Temporal overlays showed a shift from early algorithm development toward clinically oriented diagnostic and decision-support applications. Citation mapping suggested that earlier influential papers were often isolated, whereas recent studies were more integrated. The Journal of Dentistry was the most productive and well-connected source. Conclusion: AI research in periodontology is expanding rapidly with increasing clinical orientation. Strengthening international collaboration and extending work beyond diagnosis to therapeutic and prognostic applications could enhance clinical impact and global integration.

Keywords

Ethical Statement

As this study did not involve human participants, animal subjects or patient data, ethical approval was not required.

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Details

Primary Language

English

Subjects

Periodontics

Journal Section

Research Article

Authors

Şehrazat Ziya Muluk ^*
0009-0009-4975-6566
Türkiye

Murtaza Yelbay
0000-0002-6161-7042
Türkiye

Merter Güçlü
0000-0003-0408-9199
Türkiye

Publication Date

April 29, 2026

Submission Date

August 25, 2025

Acceptance Date

October 8, 2025

Published in Issue

Year 2026 Volume: 50 Number: 1

DOI

https://doi.org/10.65022/clindentres.1771972

IZ

https://izlik.org/JA36LX56WS

Cite

RIS / Bibtex

APA

Ziya Muluk, Ş., Yelbay, M., & Güçlü, M. (2026). Artificial Intelligence Applications in Periodontology: A Bibliometric Analysis. Clinical Dentistry and Research, 50(1), 12-22. https://doi.org/10.65022/clindentres.1771972

AMA

1.Ziya Muluk Ş, Yelbay M, Güçlü M. Artificial Intelligence Applications in Periodontology: A Bibliometric Analysis. Clin Dent Res. 2026;50(1):12-22. doi:10.65022/clindentres.1771972

Chicago

Ziya Muluk, Şehrazat, Murtaza Yelbay, and Merter Güçlü. 2026. “Artificial Intelligence Applications in Periodontology: A Bibliometric Analysis”. Clinical Dentistry and Research 50 (1): 12-22. https://doi.org/10.65022/clindentres.1771972.

EndNote

Ziya Muluk Ş, Yelbay M, Güçlü M (April 1, 2026) Artificial Intelligence Applications in Periodontology: A Bibliometric Analysis. Clinical Dentistry and Research 50 1 12–22.

IEEE

[1]Ş. Ziya Muluk, M. Yelbay, and M. Güçlü, “Artificial Intelligence Applications in Periodontology: A Bibliometric Analysis”, Clin Dent Res, vol. 50, no. 1, pp. 12–22, Apr. 2026, doi: 10.65022/clindentres.1771972.

ISNAD

Ziya Muluk, Şehrazat - Yelbay, Murtaza - Güçlü, Merter. “Artificial Intelligence Applications in Periodontology: A Bibliometric Analysis”. Clinical Dentistry and Research 50/1 (April 1, 2026): 12-22. https://doi.org/10.65022/clindentres.1771972.

JAMA

1.Ziya Muluk Ş, Yelbay M, Güçlü M. Artificial Intelligence Applications in Periodontology: A Bibliometric Analysis. Clin Dent Res. 2026;50:12–22.

MLA

Ziya Muluk, Şehrazat, et al. “Artificial Intelligence Applications in Periodontology: A Bibliometric Analysis”. Clinical Dentistry and Research, vol. 50, no. 1, Apr. 2026, pp. 12-22, doi:10.65022/clindentres.1771972.

Vancouver

1.Şehrazat Ziya Muluk, Murtaza Yelbay, Merter Güçlü. Artificial Intelligence Applications in Periodontology: A Bibliometric Analysis. Clin Dent Res. 2026 Apr. 1;50(1):12-2. doi:10.65022/clindentres.1771972