Tsuyoki Nishikawa

71 total papers · 1.3k total citations
48 papers, 854 citations indexed

About

Tsuyoki Nishikawa is a scholar working on Signal Processing, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Tsuyoki Nishikawa has authored 48 papers receiving a total of 854 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Signal Processing, 33 papers in Computational Mechanics and 11 papers in Artificial Intelligence. Recurrent topics in Tsuyoki Nishikawa's work include Speech and Audio Processing (44 papers), Blind Source Separation Techniques (44 papers) and Advanced Adaptive Filtering Techniques (33 papers). Tsuyoki Nishikawa is often cited by papers focused on Speech and Audio Processing (44 papers), Blind Source Separation Techniques (44 papers) and Advanced Adaptive Filtering Techniques (33 papers). Tsuyoki Nishikawa collaborates with scholars based in Japan, Germany and United States. Tsuyoki Nishikawa's co-authors include Hiroshi Saruwatari, Kiyohiro Shikano, Shoko Araki, Shoji Makino, Ryo Mukai, A. Lee, Tatsuyuki Kawamura, Satoshi Kurita, Kazuya Takeda and Fumitada Itakura and has published in prestigious journals such as IEEE Transactions on Audio Speech and Language Processing, IEEE Transactions on Speech and Audio Processing and EURASIP Journal on Advances in Signal Processing.

In The Last Decade

Tsuyoki Nishikawa

47 papers receiving 755 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tsuyoki Nishikawa 842 580 91 76 40 48 854
Daichi Kitamura 831 1.0× 495 0.9× 104 1.1× 23 0.3× 75 1.9× 76 899
Robert Aichner 750 0.9× 488 0.8× 202 2.2× 52 0.7× 47 1.2× 34 827
Zbyněk Koldovský 928 1.1× 330 0.6× 198 2.2× 261 3.4× 82 2.0× 78 1.1k
Ing Yann Soon 604 0.7× 300 0.5× 125 1.4× 34 0.4× 411 10.3× 42 945
Anne Ferréol 860 1.0× 171 0.3× 54 0.6× 112 1.5× 24 0.6× 56 999
Jörn Anemüller 748 0.9× 196 0.3× 224 2.5× 46 0.6× 69 1.7× 45 929
Steven L. Grant 504 0.6× 504 0.9× 103 1.1× 5 0.1× 51 1.3× 55 747
Sebastian Braun 588 0.7× 334 0.6× 221 2.4× 7 0.1× 49 1.2× 44 712
Derry Fitzgerald 832 1.0× 226 0.4× 125 1.4× 5 0.1× 242 6.0× 51 888
Pejman Mowlaee 879 1.0× 521 0.9× 331 3.6× 4 0.1× 100 2.5× 87 969

Countries citing papers authored by Tsuyoki Nishikawa

Since Specialization
Citations

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

Fields of papers citing papers by Tsuyoki Nishikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tsuyoki Nishikawa

This figure shows the co-authorship network connecting the top 25 collaborators of Tsuyoki Nishikawa. A scholar is included among the top collaborators of Tsuyoki Nishikawa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tsuyoki Nishikawa. Tsuyoki Nishikawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026