Shuhei Ikemoto
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- Robot Manipulation and Learning 20
- Robotic Mechanisms and Dynamics 5
- Biomedical Engineering top 10%
- Robotic Locomotion and Control 25
- Prosthetics and Rehabilitation Robotics 18
- Muscle activation and electromyography studies 17
- Soft Robotics and Applications 12
- Orthopedics and Sports Medicine top 10%
- Cognitive Neuroscience top 10%
- Human-Computer Interaction top 10%
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- Modular Robots and Swarm Intelligence 8
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- Structural Analysis and Optimization 7
- Co-authors
- Koh HosodaHiroshi IshiguroTakashi MinatoShouhei ShirafujiHeni Ben AmorBernhard JungMinoru AsadaTomoyuki Noda
- Journals
- SHILAP Revista de lepidopterología (1 paper)IEEE Access (1 paper)Journal of Theoretical Biology (1 paper)
In The Last Decade
Shuhei Ikemoto
53 papers receiving 702 citations
Peers
Comparison fields: 5 of 79
- Control and Systems Engineering 281
- Biomedical Engineering 440
- Orthopedics and Sports Medicine 57
- Cognitive Neuroscience 116
- Human-Computer Interaction 30
Countries citing papers authored by Shuhei Ikemoto
This map shows the geographic impact of Shuhei Ikemoto'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 Shuhei Ikemoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuhei Ikemoto more than expected).
Fields of papers citing papers by Shuhei Ikemoto
This network shows the impact of papers produced by Shuhei Ikemoto. 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 Shuhei Ikemoto. The network helps show where Shuhei Ikemoto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shuhei Ikemoto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 9 | |
| 6 | 2021 | 20 | |
| 7 | 2020 | 0 | |
| 8 | 2020 | 1 | |
| 9 | 2020 | 6 | |
| 10 | 2018 | 3 | |
| 11 | 2018 | 16 | |
| 12 | 2016 | 1 | |
| 13 | 2016 | 7 | |
| 14 | 2016 | 6 | |
| 15 | 2015 | 22 | |
| 16 | 2012 | 7 | |
| 17 | 2011 | 1 | |
| 18 | 2010 | 0 | |
| 19 | 2009 | 14 | |
| 20 | 2008 | 0 |
About Shuhei Ikemoto
Shuhei Ikemoto is a scholar working on Control and Systems Engineering, Biomedical Engineering and Cognitive Neuroscience, having authored 63 papers that have together received 734 indexed citations. Recurring topics across this work include Robotic Locomotion and Control (25 papers), Robot Manipulation and Learning (20 papers), Prosthetics and Rehabilitation Robotics (18 papers), Muscle activation and electromyography studies (17 papers), Soft Robotics and Applications (12 papers), Modular Robots and Swarm Intelligence (8 papers), Structural Analysis and Optimization (7 papers) and Robotic Mechanisms and Dynamics (5 papers). The work is most often cited by research in Control and Systems Engineering (281 citations), Biomedical Engineering (440 citations) and Orthopedics and Sports Medicine (57 citations). Shuhei Ikemoto has collaborated with scholars based in Japan, Germany and Italy. Frequent co-authors include Koh Hosoda, Hiroshi Ishiguro, Takashi Minato, Shouhei Shirafuji, Heni Ben Amor, Bernhard Jung, Minoru Asada, Tomoyuki Noda, Yuichiro Yoshikawa and Toshihiko Shimizu. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Journal of Theoretical Biology.
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.