Fumihito Sugai
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- Robot Manipulation and Learning 19
- Robotics and Automated Systems 5
- Biomedical Engineering top 10%
- Robotic Locomotion and Control 33
- Prosthetics and Rehabilitation Robotics 24
- Muscle activation and electromyography studies 3
- Aerospace Engineering top 10%
- Robotics and Sensor-Based Localization 5
- Space Satellite Systems and Control 3
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- Modular Robots and Swarm Intelligence 5
- Co-authors
- Masayuki InabaKei OkadaYohei KakiuchiKunio KojimaShunichi NozawaMasaru UchiyamaShintaro NodaXin Jiang
In The Last Decade
Fumihito Sugai
42 papers receiving 476 citations
Peers
Comparison fields: 5 of 49
- Control and Systems Engineering 210
- Biomedical Engineering 338
- Aerospace Engineering 100
- Computer Vision and Pattern Recognition 68
- Human-Computer Interaction 17
Countries citing papers authored by Fumihito Sugai
This map shows the geographic impact of Fumihito Sugai'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 Fumihito Sugai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fumihito Sugai more than expected).
Fields of papers citing papers by Fumihito Sugai
This network shows the impact of papers produced by Fumihito Sugai. 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 Fumihito Sugai. The network helps show where Fumihito Sugai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fumihito Sugai, 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 | 2021 | 9 | |
| 2 | 2021 | 3 | |
| 3 | 2020 | 5 | |
| 4 | 2020 | 1 | |
| 5 | 2020 | 4 | |
| 6 | 2020 | 34 | |
| 7 | 2019 | 3 | |
| 8 | 2019 | 5 | |
| 9 | 2018 | 4 | |
| 10 | 2018 | 7 | |
| 11 | 2017 | 16 | |
| 12 | 2016 | 12 | |
| 13 | 2016 | 9 | |
| 14 | 2016 | 11 | |
| 15 | 2016 | 13 | |
| 16 | 2015 | 6 | |
| 17 | 2015 | 20 | |
| 18 | 2013 | 47 | |
| 19 | 2013 | 0 | |
| 20 | 2012 | 20 |
About Fumihito Sugai
Fumihito Sugai is a scholar working on Control and Systems Engineering, Biomedical Engineering and Aerospace Engineering, having authored 43 papers that have together received 491 indexed citations. Recurring topics across this work include Robotic Locomotion and Control (33 papers), Prosthetics and Rehabilitation Robotics (24 papers), Robot Manipulation and Learning (19 papers), Modular Robots and Swarm Intelligence (5 papers), Robotics and Automated Systems (5 papers), Robotics and Sensor-Based Localization (5 papers), Space Satellite Systems and Control (3 papers) and Muscle activation and electromyography studies (3 papers). The work is most often cited by research in Control and Systems Engineering (210 citations), Biomedical Engineering (338 citations) and Aerospace Engineering (100 citations). Fumihito Sugai has collaborated with scholars based in Japan and Canada. Frequent co-authors include Masayuki Inaba, Kei Okada, Yohei Kakiuchi, Kunio Kojima, Shunichi Nozawa, Masaru Uchiyama, Shintaro Noda, Xin Jiang, Satoko Abiko and Teppei Tsujita. Their work appears in journals such as IEEE Robotics and Automation Letters, Advanced Robotics, IEEE Micro, International Journal of Humanoid Robotics and 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
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.