‪Keigo Kusumegi‬ - ‪Google Scholar‬

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Citata da

	Tutte	Dal 2019
Citazioni	4	4
Indice H	1	1
i10-index	0	0

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Coautori

Yukie SanoInstitute of Systems and Information Engineering, University of TsukubaEmail verificata su sk.tsukuba.ac.jp

Keigo Kusumegi

Keigo Kusumegi

Cornell University

Email verificata su cornell.edu - Home page

Network Science Science of Science Computational Social Science


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Dataset of identified scholars mentioned in acknowledgement statements K Kusumegi, Y Sano Scientific Data 9 (1), 461, 2022	4	2022
Citations and gender diversity in reciprocal acknowledgement networks K Kusumegi, Y Sano arXiv preprint arXiv:2104.01729, 2021		2021
Dissecting the Gender Divide: A Large-Scale Analysis of Acknowledgment vs. Co-Authorship in Scientific Publications K Kusumegi, Y Sano, DE Acuna
Two Different Approaches to Optimizing Coverage with Elliptical Regions L Kiernan, K Kusumegi, K Okochi, I Tate 2022 Virtual Joint Mathematics Meetings (JMM 2022), 0

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