Keigo Kusumegi

CV (Oct 2026)

I'm Keigo, a Ph.D. candidate in Information Science at Cornell University advised by Yian Yin.

My research focuses on understanding collective behavior and the interactions between individuals and society that drive innovation and success. To explore these topics, I apply methods from Network Science, the Science of Science, and Computational Social Science.

I previously studied at the University of Tsukuba, Japan.

Publications

Scientific production in the era of large language models

Keigo Kusumegi⁺, Xinyu Yang⁺, Paul Ginsparg, Mathijs de Vaan, Toby Stuart, Yian Yin

Science

Link

A robust association between LLM use and scientific productivity: Assessing stopping-time selection

Keigo Kusumegi⁺, Xinyu Yang⁺, Paul Ginsparg, Mathijs de Vaan, Toby Stuart, Yian Yin

arXiv (2026)

Link

The Specialization of interdisciplinary innovators in science and technology

Keigo Kusumegi and Yian Yin

(Working paper)

Dissecting the Gender Divide: Authorship and Acknowledgment in Scientific Publications

Keigo Kusumegi, Daniel E. Acuña, Yukie Sano

Scientometrics (2026)

Link

Dataset of identified scholars mentioned in acknowledgement statements

Keigo Kusumegi and Yukie Sano

Scientific Data (2022)

Link

Citations and Gender Diversity in Reciprocal Acknowledgement Networks

Keigo Kusumegi and Yukie Sano

arXiv (2021)

Link