Shigeki Matsuda

76 papers and 1.2k indexed citations i.

About

Shigeki Matsuda is a scholar working on Artificial Intelligence, Signal Processing and Biomedical Engineering. According to data from OpenAlex, Shigeki Matsuda has authored 76 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 27 papers in Signal Processing and 11 papers in Biomedical Engineering. Recurrent topics in Shigeki Matsuda’s work include Speech Recognition and Synthesis (31 papers), Speech and Audio Processing (27 papers) and Music and Audio Processing (13 papers). Shigeki Matsuda is often cited by papers focused on Speech Recognition and Synthesis (31 papers), Speech and Audio Processing (27 papers) and Music and Audio Processing (13 papers). Shigeki Matsuda collaborates with scholars based in Japan, United States and Taiwan. Shigeki Matsuda's co-authors include Xugang Lu, Chiori Hori, Yu Tsao, Shinichi Demura, Masanobu Uchiyama, Keiji Igoshi, Tomoyuki Oki, Shelby N. Freer, Bruce S. Dien and Satoshi Nakamura and has published in prestigious journals such as Infection and Immunity, IEEE Transactions on Signal Processing and Carbohydrate Research.

In The Last Decade

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

Fields of papers citing papers by Shigeki Matsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shigeki Matsuda

Since Specialization
Citations

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