The future of reviews

The rise of Large Language Models allows generating summaries of and analyzing the scientific literature at unprecedented speed. The academic community must acknowledge and prepare for a pivotal shift: as AI tools continue to improve, traditional literature reviews may no longer be the default approach to synthesizing research.

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Publication Details

Journal
EMBO Reports
Published
2025-08-26
DOI
https://doi.org/10.1038/s44319-025-00560-z
Citations
3
Primary Topic
scientometrics and bibliometrics research
Type
article
Field-Weighted Citation Impact
4.20
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article

The future of reviews

Alexander S. Hauser
3 citations
EMBO Reports
scientometrics and bibliometrics research
4.20
article

The future of reviews

Alexander S. Hauser
article en
3 citations

Abstract

The rise of Large Language Models allows generating summaries of and analyzing the scientific literature at unprecedented speed. The academic community must acknowledge and prepare for a pivotal shift: as AI tools continue to improve, traditional literature reviews may no longer be the default approach to synthesizing research.

EMBO ReportsVol. 26(18)
University of Copenhagen (DK), IT University of Copenhagen (DK)
Openalex Percentile: Top 5%
scientometrics and bibliometrics research
4.20
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