AI research papers are getting better, and it’s a big problem for scientists
AI is gaming academia's most sacred metric. Citations are exploding—but the research behind them might not be real.
Why it matters
As AI systems generate research papers at scale, they're artificially inflating citation counts and degrading peer review integrity. This threatens the foundation of scientific credibility and creates systemic problems for researchers trying to separate signal from noise.
The key facts
5 to know2017 epidemiological paper received dozens of citations over years, then hundreds in recent weeks
Citation surge driven by AI-generated papers citing older work out of context
Peer review process vulnerable to AI-authored submissions masquerading as legitimate research
Academic currency (citations) being artificially inflated by machine-generated content
Published May 15, 2026 — suggests this is an emerging crisis in real-time
Go to the source
The Verge AItheverge.com
Publisher excerpt: Last summer, Peter Degen's postdoctoral supervisor came to him with an unusual problem: One of his papers was being cited too much. Citations are the currency of academia, but there was something unusual about these. Published in 2017, the paper had assessed the accuracy of a particular type of…