Yūji Matsumoto

224 papers and 3.1k indexed citations i.

About

Yūji Matsumoto is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Yūji Matsumoto has authored 224 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 195 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 15 papers in Molecular Biology. Recurrent topics in Yūji Matsumoto’s work include Natural Language Processing Techniques (164 papers), Topic Modeling (159 papers) and Speech and dialogue systems (34 papers). Yūji Matsumoto is often cited by papers focused on Natural Language Processing Techniques (164 papers), Topic Modeling (159 papers) and Speech and dialogue systems (34 papers). Yūji Matsumoto collaborates with scholars based in Japan, United States and United Kingdom. Yūji Matsumoto's co-authors include Taku Kudo, Rashmi Prasad, Hiroyuki Shindo, Kaoru Yamamoto, Kentaro Inui, Ikuya Yamada, Akari Asai, Hideaki Takeda, Masashi Shimbo and Masayuki Asahara and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, FEBS Letters and IEEE Transactions on Medical Imaging.

In The Last Decade

Co-authorship network of co-authors of Yūji Matsumoto i

Fields of papers citing papers by Yūji Matsumoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yūji Matsumoto. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yūji Matsumoto. The network helps show where Yūji Matsumoto may publish in the future.

Countries citing papers authored by Yūji Matsumoto

Since Specialization
Citations

This map shows the geographic impact of Yūji Matsumoto's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yūji Matsumoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yūji Matsumoto more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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