Tohru Nitta

74 total papers · 1.8k total citations
44 papers, 1.2k citations indexed

About

Tohru Nitta is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Tohru Nitta has authored 44 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 9 papers in Signal Processing. Recurrent topics in Tohru Nitta's work include Neural Networks and Applications (33 papers), Face and Expression Recognition (9 papers) and Blind Source Separation Techniques (8 papers). Tohru Nitta is often cited by papers focused on Neural Networks and Applications (33 papers), Face and Expression Recognition (9 papers) and Blind Source Separation Techniques (8 papers). Tohru Nitta collaborates with scholars based in Japan, United Kingdom and Germany. Tohru Nitta's co-authors include Yasuaki Kuroe, Eckhard Hitzer, Danilo P. Mandic, Sven Buchholz, Yili Xia, Cyrus Jahanchahi, Masaki Kobayashi, Takayuki Hoshino and Suguru Kanoga and has published in prestigious journals such as IEEE Transactions on Signal Processing, Neural Computation and Neurocomputing.

In The Last Decade

Tohru Nitta

41 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Tohru Nitta 756 343 286 221 166 44 1.2k
Jonathan A. Kelner 370 0.5× 311 0.9× 238 0.8× 191 0.9× 160 1.0× 37 1.4k
Roy L. Streit 904 1.2× 164 0.5× 280 1.0× 239 1.1× 167 1.0× 76 1.4k
Zhenya He 359 0.5× 501 1.5× 278 1.0× 285 1.3× 171 1.0× 168 1.4k
L. L. Campbell 277 0.4× 152 0.4× 178 0.6× 104 0.5× 220 1.3× 52 915
David Luengo 705 0.9× 168 0.5× 117 0.4× 194 0.9× 122 0.7× 85 1.4k
Ding Zhou 710 0.9× 328 1.0× 69 0.2× 106 0.5× 41 0.2× 30 1.3k
Toby Berger 452 0.6× 351 1.0× 328 1.1× 196 0.9× 460 2.8× 37 1.2k
Rachel Ward 361 0.5× 338 1.0× 113 0.4× 194 0.9× 127 0.8× 64 1.4k
Teijiro Isokawa 561 0.7× 276 0.8× 343 1.2× 61 0.3× 216 1.3× 109 931
K. Yao 144 0.2× 174 0.5× 339 1.2× 190 0.9× 359 2.2× 56 944

Countries citing papers authored by Tohru Nitta

Since Specialization
Citations

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

Fields of papers citing papers by Tohru Nitta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tohru Nitta

This figure shows the co-authorship network connecting the top 25 collaborators of Tohru Nitta. A scholar is included among the top collaborators of Tohru Nitta 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 Tohru Nitta. Tohru Nitta 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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