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

Applications of AI (901) Chatbots and Conversational Agents (1152) Artificial Intelligence (4644) Digital Health Meta-Research and Bibliographic Studies (116) Theme Issue: ChatGPT and Generative Language Models in Medical Education (144) Generative Language Models Including ChatGPT (1462) AI Language Models in Health Care (716)

Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68603, first published .
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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
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Journals

  1. Bernstein E, Bol B, Shanaa J, Ramsamooj A, Baldini T, Lum Z. Evaluating the Citation Accuracy of ChatGPT-5 Using the American Academy of Orthopaedic Surgeons Clinical Practice Guidelines. Cureus 2026 View