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Diş Hekimliği Müfredatıyla İlgili En çok Atıf Alan 50 Yayının Bibliyometrik Analizi

Year 2025, Volume: 12 Issue: 4, 11 - 16, 19.09.2025
https://doi.org/10.15311/selcukdentj.1675715

Abstract

Amaç: Bu çalışmanın amacı, diş hekimliği müfredatı ile ilgili literatürde yer alan en çok atıf alan en etkili 50 yayını bibliyometrik yöntemler kullanarak analiz etmektir. Çalışmada, yayınların ülkelere göre dağılımı, en sık kullanılan anahtar kelimeler, en çok atıf alan dergiler ve bu alandaki en etkili kurumlar belirlenerek diş hekimliği eğitiminde araştırma eğilimleri ortaya konulmuştur.
Gereç ve Yöntemler: Web of Science’da "curricu*" (Topic) ve "dent*" (Topic) ve Article ya da Review Article ya da Proceeding Paper ya da Early Access (Document Types) araması gerçekleştirilmiş ve toplamda 4362 yayına ulaşılmıştır. Yayınlar atıf sayısına göre sıralanmış ve konu ile ilgili ilk 50 yayın tespit edilmiştir.
Bulgular: Veri setindeki hatalar Microsoft Excel kullanılarak düzeltilmiş ve ardından VOSviewer ve Bibliometrix programları aracılığıyla bibliyometrik analiz gerçekleştirilmiştir. En fazla yayın yapan (16 makale) ve en fazla atıf alan ülke (3232 atıf) ABD olmuştur. En sık kullanılan anahtar kelime "dental education" (12 kez) olurken, en fazla yayına sahip dergi (6 makale) Journal of Dental Education olmuştur. Literatüre en fazla katkı sağlayan üniversite (3 makale, 1621 atıf) Toronto Üniversitesi olarak öne çıkmaktadır.
Sonuç: Bu bibliyometrik analiz ile elde edilen bulgular, diş hekimliği eğitimine yönelik araştırmaların mevcut eğilimlerini ve gelecekteki potansiyel araştırma alanlarını anlamak açısından önemli ipuçları sunmaktadır.
Anahtar Kelimeler: Diş hekimliği eğitimi, diş hekimliği öğrencileri, müfredat

References

  • 1. McLean SF. Case-Based Learning and its Application in Medical and Health-Care Fields: A Review of Worldwide Literature. Journal of medical education and curricular development. 2016;3.
  • 2. Divaris K, Barlow PJ, Chendea SA, Cheong WS, Dounis A, Dragan IF, et al. The academic environment: the students' perspective. European journal of dental education: official journal of the Association for Dental Education in Europe. 2008;12 Suppl 1:120-30.
  • 3. Zitzmann NU, Matthisson L, Ohla H, Joda T. Digital Undergraduate Education in Dentistry: A Systematic Review. International journal of environmental research and public health. 2020;17(9).
  • 4. Hung M, Licari FW, Hon ES, Lauren E, Su S, Birmingham WC, et al. In an era of uncertainty: Impact of COVID-19 on dental education. Journal of dental education. 2021;85(2):148-56.
  • 5. Schlenz MA, Schmidt A, Wöstmann B, Krämer N, Schulz-Weidner N. Students' and lecturers' perspective on the implementation of online learning in dental education due to SARS-CoV-2 (COVID-19): a cross-sectional study. BMC medical education. 2020;20(1):354.
  • 6. Amiri H, Peiravi S, Rezazadeh Shojaee SS, Rouhparvarzamin M, Nateghi MN, Etemadi MH, et al. Medical, dental, and nursing students' attitudes and knowledge towards artificial intelligence: a systematic review and meta-analysis. BMC medical education. 2024;24(1):412.
  • 7. Busch F, Hoffmann L, Truhn D, Ortiz-Prado E, Makowski MR, Bressem KK, et al. Global cross-sectional student survey on AI in medical, dental, and veterinary education and practice at 192 faculties. BMC medical education. 2024;24(1):1066.
  • 8. Bell A, Cairns A, Binnie V. The changing landscape of dental education - Glasgow Dental School. British dental journal. 2022;233(5):427-9.
  • 9. Van Eck N, Waltman L. Software survey: VOSviewer, a computer program for bibliometric mapping. scientometrics. 2010;84(2):523–38.
  • 10. Hassan W, Duarte AE. Bibliometric analysis: A few suggestions. Current problems in cardiology. 2024;49(8):102640.
  • 11. Kerkstra RL, Rustagi KA, Grimshaw AA, Minges KE. Dental education practices during COVID-19: A scoping review. Journal of dental education. 2022;86(5):546-73.
  • 12. Li B, Cheng L, Wang H. Challenges and Opportunities for Dental Education from COVID-19. Dentistry journal. 2022;10(10).
  • 13. Lee N, Huh J, Jeong H, Park W. Effectiveness of Online Interactive Education in Dental Radiology. International dental journal. 2024;74(5):1024-32.
  • 14. Dave M, Patel N. Artificial intelligence in healthcare and education. British dental journal. 2023;234(10):761-4.
  • 15. Schwendicke F, Krois J, Gomez J. Artificial intelligence in dentistry Chances and challenges. Journal of Dental Research. 2020; 99(7): 769–774.
  • 16. Erdem R, Genç YS, Yalınız G, Gülşen İT. Dental implantolojide yapay zeka kullanımının bibliyometrik analizi. Aydın Dental Journal. 2024; 10(2): 155–167.

Bibliometric Analysis of the 50 Most Cited Publications on Dentistry Curriculum

Year 2025, Volume: 12 Issue: 4, 11 - 16, 19.09.2025
https://doi.org/10.15311/selcukdentj.1675715

Abstract

Background: The aim of this study is to analyze the 50 most cited and influential publications in the literature on dentistry curriculum using bibliometric methods. The study determined the distribution of publications by country, the most frequently used keywords, the most cited journals, and the most influential institutions in this field, and revealed research trends in dentistry education.
Methods: A search was performed in Web of Science using "curricu*" (Subject) and "dent*" (Subject) and Article or Review Article or Proceedings Paper or Early Access (Document Types) and a total of 4362 publications were reached. The publications were ranked according to the number of citations and the first 50 publications related to the subject were determined.

Results: Errors in the dataset were corrected using Microsoft Excel, and then bibliometric analysis was performed using VOSviewer and Bibliometrix. The country with the most publications (16 articles) and the most citations (3232 citations) was the USA. The most frequently used keyword was "dental education" (12 times), while the journal with the most publications (6 articles) was Journal of Dental Education. The university that contributed the most to the literature (3 articles, 1621 citations) was the University of Toronto.
Conclusion: The findings obtained through bibliometric analysis provide important clues for understanding current trends and potential future research areas in dental education research.
Keywords: Dental education, dental students, curriculum

References

  • 1. McLean SF. Case-Based Learning and its Application in Medical and Health-Care Fields: A Review of Worldwide Literature. Journal of medical education and curricular development. 2016;3.
  • 2. Divaris K, Barlow PJ, Chendea SA, Cheong WS, Dounis A, Dragan IF, et al. The academic environment: the students' perspective. European journal of dental education: official journal of the Association for Dental Education in Europe. 2008;12 Suppl 1:120-30.
  • 3. Zitzmann NU, Matthisson L, Ohla H, Joda T. Digital Undergraduate Education in Dentistry: A Systematic Review. International journal of environmental research and public health. 2020;17(9).
  • 4. Hung M, Licari FW, Hon ES, Lauren E, Su S, Birmingham WC, et al. In an era of uncertainty: Impact of COVID-19 on dental education. Journal of dental education. 2021;85(2):148-56.
  • 5. Schlenz MA, Schmidt A, Wöstmann B, Krämer N, Schulz-Weidner N. Students' and lecturers' perspective on the implementation of online learning in dental education due to SARS-CoV-2 (COVID-19): a cross-sectional study. BMC medical education. 2020;20(1):354.
  • 6. Amiri H, Peiravi S, Rezazadeh Shojaee SS, Rouhparvarzamin M, Nateghi MN, Etemadi MH, et al. Medical, dental, and nursing students' attitudes and knowledge towards artificial intelligence: a systematic review and meta-analysis. BMC medical education. 2024;24(1):412.
  • 7. Busch F, Hoffmann L, Truhn D, Ortiz-Prado E, Makowski MR, Bressem KK, et al. Global cross-sectional student survey on AI in medical, dental, and veterinary education and practice at 192 faculties. BMC medical education. 2024;24(1):1066.
  • 8. Bell A, Cairns A, Binnie V. The changing landscape of dental education - Glasgow Dental School. British dental journal. 2022;233(5):427-9.
  • 9. Van Eck N, Waltman L. Software survey: VOSviewer, a computer program for bibliometric mapping. scientometrics. 2010;84(2):523–38.
  • 10. Hassan W, Duarte AE. Bibliometric analysis: A few suggestions. Current problems in cardiology. 2024;49(8):102640.
  • 11. Kerkstra RL, Rustagi KA, Grimshaw AA, Minges KE. Dental education practices during COVID-19: A scoping review. Journal of dental education. 2022;86(5):546-73.
  • 12. Li B, Cheng L, Wang H. Challenges and Opportunities for Dental Education from COVID-19. Dentistry journal. 2022;10(10).
  • 13. Lee N, Huh J, Jeong H, Park W. Effectiveness of Online Interactive Education in Dental Radiology. International dental journal. 2024;74(5):1024-32.
  • 14. Dave M, Patel N. Artificial intelligence in healthcare and education. British dental journal. 2023;234(10):761-4.
  • 15. Schwendicke F, Krois J, Gomez J. Artificial intelligence in dentistry Chances and challenges. Journal of Dental Research. 2020; 99(7): 769–774.
  • 16. Erdem R, Genç YS, Yalınız G, Gülşen İT. Dental implantolojide yapay zeka kullanımının bibliyometrik analizi. Aydın Dental Journal. 2024; 10(2): 155–167.
There are 16 citations in total.

Details

Primary Language Turkish
Subjects Dentistry (Other)
Journal Section Research
Authors

Ömer Faruk Boylu 0000-0002-7096-9736

Nur Muhammed Demir This is me 0009-0009-8222-7674

Publication Date September 19, 2025
Submission Date April 14, 2025
Acceptance Date July 23, 2025
Published in Issue Year 2025 Volume: 12 Issue: 4

Cite

Vancouver Boylu ÖF, Demir NM. Diş Hekimliği Müfredatıyla İlgili En çok Atıf Alan 50 Yayının Bibliyometrik Analizi. Selcuk Dent J. 2025;12(4):11-6.