Tetsuya Mouri

84 papers receiving 1.3k citations

Peers

Tetsuya Mouri
Comparison fields: 5 of 69
  • Rehabilitation 335
  • Human-Computer Interaction 178
  • Control and Systems Engineering 689
  • Biomedical Engineering 860
  • Cognitive Neuroscience 338
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Gionata Salvietti Italy
F. Salsedo Italy
Philipp Beckerle Germany
Mohamed Bouri Switzerland
Mourad Bouzit United States
Kyle B. Reed United States
Simone Marcheschi Italy
F. Vecchi Italy
Nathanaël Jarrassé France
Sang Hoon Kang South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Tetsuya Mouri

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuya Mouri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010197
2
Anthropomorphic Robot Hand : Gifu Hand III
2002193
3 2007107
4 201091
5 200971
6 200759
7 200557
8 200242
9 200937
10 200435
11 200733
12 201929
13 201128
14 201118
15 200918
16 200718
17 200913
18 202013
19 200513
20
Anthropomorphic Robot Hand
200212

About Tetsuya Mouri

Tetsuya Mouri is a scholar working on Control and Systems Engineering, Mechanical Engineering, Biomedical Engineering, Cognitive Neuroscience and Human-Computer Interaction, having authored 91 papers that have together received 1.4k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (58 papers), Teleoperation and Haptic Systems (36 papers), Soft Robotics and Applications (19 papers), Robotic Mechanisms and Dynamics (16 papers), Muscle activation and electromyography studies (14 papers), Tactile and Sensory Interactions (10 papers), Stroke Rehabilitation and Recovery (10 papers) and Hand Gesture Recognition Systems (8 papers). The work is most often cited by research in Rehabilitation (335 citations), Human-Computer Interaction (178 citations), Control and Systems Engineering (689 citations), Biomedical Engineering (860 citations) and Cognitive Neuroscience (338 citations). Tetsuya Mouri has collaborated with scholars based in Japan, Bulgaria and Australia. Frequent co-authors include Haruhisa Kawasaki, Satoshi Ito, Yasuhiko Ishigure, Yutaka Nishimoto, Satoshi Ueki, Motoyuki Abe, Takahiro Endo, Takaaki Aoki, Hirofumi Sakaeda and Takeo Ojika. Their work appears in journals such as Journal of Advanced Mechanical Design Systems and Manufacturing, IEEE Transactions on Haptics, Journal of Robotics and Mechatronics, IEEE Transactions on Robotics and IEEE/ASME Transactions on Mechatronics.

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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