Ryu Kato

80 papers receiving 986 citations

Peers

Ryu Kato
Comparison fields: 5 of 75
  • Industrial and Manufacturing Engineering 181
  • Human-Computer Interaction 96
  • Cognitive Neuroscience 307
  • Radiological and Ultrasound Technology 61
  • Biomedical Engineering 525
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Luka Peternel Netherlands
Myung‐Chul Jung South Korea
Gaoyang Pang China
Philipp Beckerle Germany
Jan Babič Slovenia
Nathanaël Jarrassé France
Miguel Simão Portugal
Uriel Martínez-Hernández United Kingdom
Ugo Pattacini Italy
Matteo Malosio Italy
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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 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010175
2 2009103
3 200638
4 200937
5 201933
6 201032
7 200927
8 201525
9 201125
10 201023
11 200622
12 201322
13 201621
14 200821
15 200920
16 201018
17 201117
18
Competitive learning method for robust EMG-to-motion classifier
200616
19 200916
20 201516

About Ryu Kato

Ryu Kato is a scholar working on Biomedical Engineering, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Industrial and Manufacturing Engineering and Human-Computer Interaction, having authored 86 papers that have together received 1.0k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (56 papers), EEG and Brain-Computer Interfaces (27 papers), Neuroscience and Neural Engineering (22 papers), Advanced Manufacturing and Logistics Optimization (11 papers), Robot Manipulation and Learning (10 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 (181 citations), Human-Computer Interaction (96 citations), Cognitive Neuroscience (307 citations), Radiological and Ultrasound Technology (61 citations) and Biomedical Engineering (525 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 Jun Ota. 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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