This paper is in the following e-collection/theme issue:

Applications of AI (241) Generative Language Models Including ChatGPT (625) Digital Health Meta-Research and Bibliographic Studies (53) AI Language Models in Health Care (162) Theme Issue: ChatGPT and Generative Language Models in Medical Education (112) Artificial Intelligence (1987) Chatbots and Conversational Agents (699)

Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68603, first published .
Identification and Categorization of the Top 100 Articles and the Future of Large Language Models: Thematic Analysis Using Bibliometric Analysis

Identification and Categorization of the Top 100 Articles and the Future of Large Language Models: Thematic Analysis Using Bibliometric Analysis

Identification and Categorization of the Top 100 Articles and the Future of Large Language Models: Thematic Analysis Using Bibliometric Analysis

Authors of this article:

Ethan Bernstein1 Author Orcid Image ;   Anya Ramsamooj1 Author Orcid Image ;   Kelsey L Millar2 Author Orcid Image ;   Zachary C Lum2 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Ethan Bernstein   1 , BS ;   Anya Ramsamooj   1 , BS ;   Kelsey L Millar   2 , MD ;   Zachary C Lum   2 , DO

1 College of Medicine, California Northstate University, Elk Grove, CA, United States

2 Department of Orthopaedic Surgery, University of California Davis Medical Center, Sacramento, CA, United States

Corresponding Author:

  • Zachary C Lum, DO
  • Department of Orthopaedic Surgery
  • University of California Davis Medical Center
  • 4860 Y Street, Suite 1700
  • Sacramento, CA 95817
  • United States
  • Phone: 1 (916) 7342700
  • Fax: 1 (916) 7347137
  • Email: zlum@health.ucdavis.edu