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

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Title: Identification and Categorization of the Top 100 Articles and the Future of Large Language Models: Thematic Analysis Using Bibliometric Analysis.
Authors: Bernstein, Ethan1 (AUTHOR), Ramsamooj, Anya1 (AUTHOR), Millar, Kelsey L2 (AUTHOR), Lum, Zachary C2 (AUTHOR) zlum@health.ucdavis.edu
Source: JMIR AI. 2025, Vol. 4, p1-12. 12p.
Database: Academic Search Ultimate
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An: 191867878
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PubType: Academic Journal
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  Data: Identification and Categorization of the Top 100 Articles and the Future of Large Language Models: Thematic Analysis Using Bibliometric Analysis.
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  Data: <searchLink fieldCode="JN" term="%22JMIR+AI%22">JMIR AI</searchLink>. 2025, Vol. 4, p1-12. 12p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=191867878
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        Value: 10.2196/68603
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      – Code: eng
        Text: English
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        PageCount: 12
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      – TitleFull: Identification and Categorization of the Top 100 Articles and the Future of Large Language Models: Thematic Analysis Using Bibliometric Analysis.
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            NameFull: Ramsamooj, Anya
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            NameFull: Millar, Kelsey L
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              Text: 2025
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