Toru Nakashika

32 papers and 307 indexed citations i.

About

Toru Nakashika is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Toru Nakashika has authored 32 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Signal Processing, 23 papers in Artificial Intelligence and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Toru Nakashika’s work include Speech and Audio Processing (27 papers), Speech Recognition and Synthesis (23 papers) and Music and Audio Processing (21 papers). Toru Nakashika is often cited by papers focused on Speech and Audio Processing (27 papers), Speech Recognition and Synthesis (23 papers) and Music and Audio Processing (21 papers). Toru Nakashika collaborates with scholars based in Japan, Mexico and United Kingdom. Toru Nakashika's co-authors include Tetsuya Takiguchi, Yasuo Ariki, Ryoichi Takashima, Yasuhiro Minami, Junichi Yamagishi, Shinji Takaki, Christophe García, Yuki Takashima, Xin Wang and Stefan Duffner and has published in prestigious journals such as Applied Sciences, IEEE/ACM 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 Toru Nakashika i

Fields of papers citing papers by Toru Nakashika

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Toru Nakashika

Since Specialization
Citations

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