Ryu Kato

1.4k citations
93 papers · 1.2k · h-index 19

Impact in

Papers in

Ryu Kato

87 papers receiving 1.1k citations

Peers

Ryu Kato
Comparison fields: 5 of 78
  • Industrial and Manufacturing Engineering 222
  • Cognitive Neuroscience 350
  • Human-Computer Interaction 104
  • Radiological and Ultrasound Technology 71
  • Biomedical Engineering 590
Replace Luka Peternel with:
Luka Peternel Netherlands
Elsa Andrea Kirchner Germany
Monica Reggiani Italy
Myung‐Chul Jung South Korea
Gaoyang Pang China
Philipp Beckerle Germany
Jan Babič Slovenia
Uriel Martínez-Hernández United Kingdom
Nathanaël Jarrassé France
Agostino De Santis Italy
Ryu Kato relative to Luka Peternel Netherlands Luka Peternel's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ryu Kato

Since Specialization
Citations

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

Fields of papers citing papers by Ryu Kato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ryu Kato, 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 Kato Line = papers co-authored together Ryu Kato links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010206
2 2009118
3 200642
4 200941
5 201936
6 201035
7 200929
8 201526
9 201126
10 201025
11 200825
12 201324
13 200622
14 201022
15 200921
16 201621
17 200919
18 201019
19
Competitive learning method for robust EMG-to-motion classifier
200618
20 201118

About Ryu Kato

Ryu Kato is a scholar working on Biomedical Engineering, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Industrial and Manufacturing Engineering and Control and Systems Engineering, having authored 93 papers that have together received 1.2k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (62 papers), EEG and Brain-Computer Interfaces (32 papers), Neuroscience and Neural Engineering (27 papers), Advanced Manufacturing and Logistics Optimization (12 papers), Robot Manipulation and Learning (12 papers), Advanced Sensor and Energy Harvesting Materials (9 papers), Hand Gesture Recognition Systems (9 papers) and Motor Control and Adaptation (9 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (222 citations), Cognitive Neuroscience (350 citations), Human-Computer Interaction (104 citations), Radiological and Ultrasound Technology (71 citations) and Biomedical Engineering (590 citations). Ryu Kato has collaborated with scholars based in Japan, Switzerland and United States. Frequent co-authors include Tamio Arai, Hiroshi Yokoi, Masayuki Fujita, Feng Duan, Jeffrey Too Chuan Tan, Ye Zhang, Kei Watanabe, Kojiro Matsushita, Hiroshi YAMAURA and Masao Sugi. Their work appears in journals such as Advanced Robotics, Robotics and Autonomous Systems, IEEE Transactions on Automation Science and Engineering, International Journal of Automation Technology and Biomedical Signal Processing and Control.

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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