Ryu Takeda

977 citations
52 papers · 702 · h-index 15

Impact in

Papers in

    • Speech and Audio Processing 37
    • Music and Audio Processing 18
    • Blind Source Separation Techniques 15
    • Speech Recognition and Synthesis 15
    • Speech and dialogue systems 5
    • Natural Language Processing Techniques 3

Ryu Takeda

47 papers receiving 658 citations

Peers

Ryu Takeda
Comparison fields: 5 of 70
  • Signal Processing 497
  • Developmental Biology 38
  • Oceanography 72
  • Artificial Intelligence 181
  • Computer Vision and Pattern Recognition 97
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Ricard Marxer France
Takuma Otsuka Japan
Emre Çakır Finland
John McDonough Germany
Ben Milner United Kingdom
Alessio Brutti Italy
Hervé Glotin France
Romain Serizel France
Iván Meza Mexico
Chanwoo Kim South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Ryu Takeda

Since Specialization
Citations

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

Fields of papers citing papers by Ryu Takeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ryu Takeda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ryu Takeda Line = papers co-authored together Ryu Takeda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016117
2 201381
3 201670
4 201340
5 201136
6 201133
7 201732
8 198428
9 200827
10 199518
11 201117
12 200717
13 200916
14 196416
15 200814
16 200811
17 201811
18 200610
19 200810
20 201110

About Ryu Takeda

Ryu Takeda is a scholar working on Signal Processing, Artificial Intelligence, Computational Mechanics, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 52 papers that have together received 702 indexed citations. Recurring topics across this work include Speech and Audio Processing (37 papers), Music and Audio Processing (18 papers), Speech Recognition and Synthesis (15 papers), Blind Source Separation Techniques (15 papers), Advanced Adaptive Filtering Techniques (14 papers), Speech and dialogue systems (5 papers), Music Technology and Sound Studies (4 papers) and Natural Language Processing Techniques (3 papers). The work is most often cited by research in Signal Processing (497 citations), Developmental Biology (38 citations), Oceanography (72 citations), Artificial Intelligence (181 citations) and Computer Vision and Pattern Recognition (97 citations). Ryu Takeda has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Kazunori Komatani, Hiroshi G. Okuno, Yasunari Obuchi, Naoyuki Kanda, Kazuhiro Nakadai, Tetsuya Ogata, Takeshi Mizumoto, Takuma Otsuka, Tôru Takahashi and Masahito Togami. Their work appears in journals such as Journal of Comparative Physiology A, IEEE Transactions on Audio Speech and Language Processing, Pure and Applied Chemistry, Computer Speech & Language and Neural Computation.

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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