Shigeki Matsubara

61 papers and 331 indexed citations i.

About

Shigeki Matsubara is a scholar working on Artificial Intelligence, Physiology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shigeki Matsubara has authored 61 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 3 papers in Physiology and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shigeki Matsubara’s work include Natural Language Processing Techniques (39 papers), Topic Modeling (26 papers) and Speech and dialogue systems (24 papers). Shigeki Matsubara is often cited by papers focused on Natural Language Processing Techniques (39 papers), Topic Modeling (26 papers) and Speech and dialogue systems (24 papers). Shigeki Matsubara collaborates with scholars based in Japan and United States. Shigeki Matsubara's co-authors include Ikuo Sato, Nobuo Kawaguchi, Yasuyoshi Inagaki, Fumitada Itakura, Kazuya Takeda, Takeshi Takayama, Yoshihiko Araki, Toshihiro Takizawa, Hiroaki Shibahara and Fujiro Sendo and has published in prestigious journals such as Biology of Reproduction, Decision Support Systems and Histochemistry and Cell Biology.

In The Last Decade

Co-authorship network of co-authors of Shigeki Matsubara i

Fields of papers citing papers by Shigeki Matsubara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shigeki Matsubara. 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 Shigeki Matsubara. The network helps show where Shigeki Matsubara may publish in the future.

Countries citing papers authored by Shigeki Matsubara

Since Specialization
Citations

This map shows the geographic impact of Shigeki Matsubara'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 Shigeki Matsubara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shigeki Matsubara 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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