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

Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (832) Epublishing and Open Access (86) Big Data (240) Artificial Intelligence (1371) Scientometrics, Infometrics, and Altmetrics (94) Clinical Information and Decision Making (1407)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45815, first published .
Mapping the Bibliometrics Landscape of AI in Medicine: Methodological Study

Mapping the Bibliometrics Landscape of AI in Medicine: Methodological Study

Mapping the Bibliometrics Landscape of AI in Medicine: Methodological Study

Authors of this article:

Jin Shi1 Author Orcid Image ;   David Bendig1 Author Orcid Image ;   Horst Christian Vollmar2 Author Orcid Image ;   Peter Rasche3 Author Orcid Image
Article Authors Cited by (3) Tweetations (6) Metrics

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  2. Deng G, Chen X, Shao L, Wu Q, Wang S. Glycosylation in autoimmune diseases: A bibliometric and visualization study. Heliyon 2024;10(9):e30026 View
  3. Friedman S, Long K, Sexauer S, Menon A, Kilb E. Role of Artificial Intelligence in Assisting Pulmonary and Critical Care Clinical Decision-Making. American Journal of Respiratory and Critical Care Medicine 2024;210(5):662 View