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

Scientometrics, Infometrics, and Altmetrics (488) Knowledge Translation and Implementation Science (786) Stroke (320) Digital Health Meta-Research and Bibliographic Studies (119) Generative Language Models Including ChatGPT (1538) AI Language Models in Health Care (753)

Published on in Vol 28 (2026)

This is a member publication of Imperial College London (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/70754, first published .
Human brain split: organic left hemisphere, digital right hemisphere with circuits

Quantifying Innovation in Stroke: Large Language Model Bibliometric Analysis

Quantifying Innovation in Stroke: Large Language Model Bibliometric Analysis

Authors of this article:

Adam Marcus1, 2 Author Orcid Image ;   Georgina Lockwood-Taylor3 Author Orcid Image ;   Daniel Rueckert1, 4 Author Orcid Image ;   Paul Bentley2 Author Orcid Image
Article Authors Cited by (1) Tweetations (1) Metrics

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  1. Mo C, Manchaiah V, Wasmann J, Wang S. From policy debate to empirical evidence: a proof-of-concept bibliometric and LLM-assisted abstract-level content analysis of OTC hearing aid research before and after FDA regulation. International Journal of Audiology 2026:1 View