Human-AI Co-Authorship Impact on Research Quality: Citation Rates and Retraction Analysis

July 17, 2026Open Access

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The aim is to evaluate how human-AI collaboration in authorship affects the quality of research as measured by citation rates and retraction incidents.
Analyzed citation rates of articles with human-AI co-authorship compared to traditional authorship.
Conducted a retraction analysis on articles involving human-AI co-authorship.
Utilized statistical metrics to assess differences in publication quality.
Articles co-authored by humans and AIs showed a 30% higher citation rate (p<0.05) than purely human-authored articles.
Retraction rates for human-AI co-authored articles were 15% lower, indicating better research integrity (p<0.01).

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Examines citation rates and retraction occurrences in human-AI co-authored articles, indicating quality implications.

Research article: Human-AI Co-Authorship Impact on Research Quality: Citation Rates and Retraction Analysis

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Ивченко et al. (2026) studied this question.

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