Keiichi Tokuda

11 papers and 1.7k indexed citations i.

About

Keiichi Tokuda is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Keiichi Tokuda has authored 11 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Signal Processing and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Keiichi Tokuda’s work include Speech Recognition and Synthesis (9 papers), Speech and Audio Processing (8 papers) and Speech and dialogue systems (5 papers). Keiichi Tokuda is often cited by papers focused on Speech Recognition and Synthesis (9 papers), Speech and Audio Processing (8 papers) and Speech and dialogue systems (5 papers). Keiichi Tokuda collaborates with scholars based in Japan, United States and United Kingdom. Keiichi Tokuda's co-authors include Alan W. Black, Tomoki Toda, Heiga Zen, Masahide Nakamura, Takashi Kitamura, Takashi Masuko, Keiichiro Oura, Yoshihiko Nankaku, Tetsuhiko Yoshimura and Alfred McClung Lee and has published in prestigious journals such as Speech Communication, IEEE Transactions on Audio Speech and Language Processing and IEICE Transactions on Information and Systems.

In The Last Decade

Co-authorship network of co-authors of Keiichi Tokuda i

Fields of papers citing papers by Keiichi Tokuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Keiichi Tokuda

Since Specialization
Citations

This map shows the geographic impact of Keiichi Tokuda'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 Keiichi Tokuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keiichi Tokuda 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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2025