A peculiar phenomenon has been observed in the academic community, where AI research papers are receiving an overwhelming number of citations. Peter Degen, a postdoctoral researcher, was tasked by his supervisor to investigate an unusual spike in citations for one of his papers published in 2017. The paper, which assessed the accuracy of statistical analysis on epidemiological data, had initially received a respectable number of citations but was now being referenced hundreds of times, every few days.

This sudden surge in citations has raised concerns among scientists, as it may indicate a lack of genuine engagement with the research. The ease of access to information and the ability of AI systems to quickly process and reference existing research may be contributing to this issue.

As the academic community continues to rely on citations as a measure of a paper’s impact, this trend poses a significant problem. It highlights the need for a more nuanced approach to evaluating research and its influence, one that looks beyond mere citation counts.

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