Regional characteristics based on author information in bibliographic databases for scientists in AI-related fields

Y. Mizukami; J. Nakano

doi:10.11487/oukan.2023.0_C-1-3

The 14th Conference on Transdisciplinary Science and Technology

セッションID: C-1

DOI https://doi.org/10.11487/oukan.2023.0_C-1-3

会議情報

主催: Transdisciplinary Federation of Science and Technology

会議名: 第14回横幹連合コンファレンス

回次: 14

開催地: 東京大学工学部三号館（本郷キャンパス）

開催日: 2023/12/16 - 2023/12/17

C-1 OS07：TD（Transdisciplinary）概念の明確化とその研究評価システム

Regional characteristics based on author information in bibliographic databases for scientists in AI-related fields

*Y. Mizukami, *J. Nakano

著者情報

キーワード: Scientific paper, Author's field, Non-negative matrix factorization

会議録・要旨集オープンアクセス

詳細

抄録

To compare research trends in the AI-related fields, we extracted information on research papers and co-authors from the Web of Science. We analyzed 12804 authors from the top 20 countries based on the number of AI-related papers published during 2018. We focused on the number of papers in each author's WOS Essential Science Indicators across 23 research fields. Our research utilized non-negative matrix factorization, mainly for the ease of interpretation of the results, from which we were able to extract the strengths and trends of each region's research in this area.

責任著者(Corresponding author)

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