Ryu Takeda

983 citations
52 papers · 707 · 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 665 citations

Peers

Ryu Takeda
Comparison fields: 5 of 70
  • Signal Processing 501
  • Developmental Biology 39
  • Oceanography 73
  • Artificial Intelligence 182
  • Computer Vision and Pattern Recognition 97
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Ricard Marxer France
Takuma Otsuka Japan
Emre Çakır Finland
Ben Milner United Kingdom
John McDonough Germany
Hervé Glotin France
Iván Meza Mexico
Chanwoo Kim United States
Patrick Danès France
Jean-Claude Junqua United States
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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 2016119
2 201382
3 201671
4 201340
5 201137
6 201133
7 201732
8 198428
9 200827
10 199518
11 201117
12 200717
13 196416
14 200916
15 200814
16 200811
17 201811
18 201110
19 200810
20 200610

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 707 indexed citations. Recurring topics across this work include Speech and Audio Processing (37 papers), Music and Audio Processing (18 papers), Blind Source Separation Techniques (15 papers), Speech Recognition and Synthesis (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 (501 citations), Developmental Biology (39 citations), Oceanography (73 citations), Artificial Intelligence (182 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, Takuma Otsuka, Takeshi Mizumoto, Tôru Takahashi and Masahito Togami. Their work appears in journals such as IEEE Transactions on Audio Speech and Language Processing, Plant Pathology, IEEE Signal Processing Letters, Computer Speech & Language and Pure and Applied Chemistry.

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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