Longitudinal Citation Impact of AI-Generated Technical Articles: Measuring Scholarly Influence Over Time

Олег Ивченко; Iryna Ivchenko

doi:10.5281/zenodo.22045982

August 21, 2026Open Access

Longitudinal Citation Impact of AI-Generated Technical Articles: Measuring Scholarly Influence Over Time

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Key Points

To evaluate the longitudinal citation dynamics and assess the long-term scholarly influence of technical articles generated by artificial intelligence.
Longitudinal bibliometric analysis of citation accumulation and citation trajectories across technical publications.
Measurement of academic influence and citation metrics over extended observation periods.
Citation tracking demonstrates measurable scholarly influence and distinct longitudinal citation patterns for AI-generated technical articles over time.
Citation accumulation profiles reflect shifting academic adoption and integration across technical literature.

Implication

Longitudinal analysis reveals the citation trajectories of AI-generated technical articles, highlighting evolving patterns of scholarly influence over time.

Abstract

Research article: Longitudinal Citation Impact of AI-Generated Technical Articles: Measuring Scholarly Influence Over Time

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Cite This Study

Ивченко et al. (2026) studied this question.

synapsesocial.com/papers/6a8aae407677a341144472fe https://doi.org/10.5281/zenodo.22045982

View Full Paper

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Longitudinal Citation Impact of AI-Generated Technical Articles: Measuring Scholarly Influence Over Time

Key Points

Implication

Abstract

Discussion

Cite This Study

Longitudinal Citation Impact of AI-Generated Technical Articles: Measuring Scholarly Influence Over Time

Key Points

Implication

Abstract

Discussion

Cite This Study

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