Fumihito Sugai

692 total citations
43 papers, 491 citations indexed

About

Fumihito Sugai is a scholar working on Biomedical Engineering, Control and Systems Engineering and Aerospace Engineering. According to data from OpenAlex, Fumihito Sugai has authored 43 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Biomedical Engineering, 26 papers in Control and Systems Engineering and 8 papers in Aerospace Engineering. Recurrent topics in Fumihito Sugai's work include Robotic Locomotion and Control (33 papers), Prosthetics and Rehabilitation Robotics (24 papers) and Robot Manipulation and Learning (19 papers). Fumihito Sugai is often cited by papers focused on Robotic Locomotion and Control (33 papers), Prosthetics and Rehabilitation Robotics (24 papers) and Robot Manipulation and Learning (19 papers). Fumihito Sugai collaborates with scholars based in Japan and Canada. Fumihito Sugai's co-authors include Masayuki Inaba, Kei Okada, Yohei Kakiuchi, Kunio Kojima, Shunichi Nozawa, Masaru Uchiyama, Shintaro Noda, Satoko Abiko, Xin Jiang and Teppei Tsujita and has published in prestigious journals such as IEEE Robotics and Automation Letters, IEEE Micro and Advanced Robotics.

In The Last Decade

Fumihito Sugai

42 papers receiving 476 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fumihito Sugai Japan 12 338 210 100 76 68 43 491
Alexander Beyer Germany 8 344 1.0× 293 1.4× 83 0.8× 111 1.5× 60 0.9× 17 586
Yuchuang Tong China 10 189 0.6× 181 0.9× 141 1.4× 153 2.0× 58 0.9× 22 484
Lyndon Bridgwater United States 5 338 1.0× 334 1.6× 98 1.0× 113 1.5× 41 0.6× 7 508
N. Sporer Germany 8 358 1.1× 444 2.1× 74 0.7× 206 2.7× 47 0.7× 14 621
Zonggao Mu China 15 339 1.0× 411 2.0× 215 2.1× 216 2.8× 145 2.1× 43 671
T. Ohm United States 6 182 0.5× 138 0.7× 63 0.6× 102 1.3× 116 1.7× 9 324
Pierre Letier Germany 10 157 0.5× 72 0.3× 69 0.7× 100 1.3× 32 0.5× 18 305
Bernd Henze Germany 13 594 1.8× 390 1.9× 51 0.5× 115 1.5× 63 0.9× 28 718
Kazutoshi Tanaka Japan 13 224 0.7× 218 1.0× 26 0.3× 98 1.3× 77 1.1× 53 486

Countries citing papers authored by Fumihito Sugai

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Fumihito Sugai

This figure shows the co-authorship network connecting the top 25 collaborators of Fumihito Sugai. A scholar is included among the top collaborators of Fumihito Sugai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fumihito Sugai. Fumihito Sugai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kojima, Kunio, et al.. (2021). Drop Prevention Control for Humanoid Robots Carrying Stacked Boxes. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 4118–4125. 3 indexed citations
2.
Noda, Shintaro, Fumihito Sugai, Kunio Kojima, et al.. (2021). Dynamic Fall Recovery Motion Generation on Biped Robot With Shell Protector. IEEE Robotics and Automation Letters. 6(4). 6741–6748. 9 indexed citations
3.
Takeda, H., Yohei Kakiuchi, Shintaro Noda, et al.. (2020). Ukemi Motion for a Life-size Humanoid with the Air Damper Shock Absorbing Exteriors. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2020(0). 2A2–G16. 1 indexed citations
4.
Kojima, Kunio, Tatsuya Ishikawa, Fumihito Sugai, et al.. (2020). Drive-Train Design in JAXON3-P and Realization of Jump Motions: Impact Mitigation and Force Control Performance for Dynamic Motions. 3747–3753. 5 indexed citations
5.
Kojima, Kunio, Shintaro Noda, Fumihito Sugai, et al.. (2020). Fast Tennis Swing Motion by Ball Trajectory Prediction and Joint Trajectory Modification in Standalone Humanoid Robot Real-time System. 3612–3619. 4 indexed citations
6.
Kojima, Kunio, et al.. (2020). Bilateral Humanoid Teleoperation System Using Whole-Body Exoskeleton Cockpit TABLIS. IEEE Robotics and Automation Letters. 5(4). 6419–6426. 34 indexed citations
7.
Ishikawa, Tatsuya, Kunio Kojima, Fumihito Sugai, et al.. (2019). Autonomous Safe Locomotion System for Bipedal Robot Applying Vision and Sole Reaction Force to Footstep Planning. 4891–4898. 3 indexed citations
8.
Noda, Shintaro, Fumihito Sugai, Kunio Kojima, et al.. (2019). Semi-Passive Walk and Active Walk by One Bipedal Robot: Mechanism, Control and Parameter Identification. International Journal of Humanoid Robotics. 17(2). 2050012–2050012. 5 indexed citations
9.
Nozawa, Shunichi, et al.. (2019). Development of Waterproof Suit for Life-sized Humanoid and Walking Control in Water using Online Buoyancy Estimation and Footstep Modification. Journal of the Robotics Society of Japan. 37(5). 427–437. 1 indexed citations
10.
Sun, Xiaojun, Fumihito Sugai, Kei Okada, & Masayuki Inaba. (2018). Design, Control and Preliminary Test of Robotic Ankle Prosthesis. 2787–2793. 4 indexed citations
11.
Sugai, Fumihito, Kunio Kojima, Yohei Kakiuchi, Kei Okada, & Masayuki Inaba. (2018). Design of Tiny High-Power Motor Driver without Liquid Cooling for Humanoid JAXON. 45. 1059–1066. 7 indexed citations
12.
Chen, Xiangyu, Moju Zhao, Fumihito Sugai, et al.. (2016). Development of a low-cost ultra-tiny line laser range sensor. 111–116. 9 indexed citations
13.
Kojima, Kunio, Ryo Koyama, Fumihito Sugai, et al.. (2016). Walking control in water considering reaction forces from water for humanoid robots with a waterproof suit. 658–665. 13 indexed citations
14.
15.
Kojima, Kunio, Toyotaka Kozuki, Tatsuya Ishikawa, et al.. (2016). Development of High-Speed and High-Power Humanoid Research Platform JAXON. Journal of the Robotics Society of Japan. 34(7). 458–467. 3 indexed citations
17.
Kakiuchi, Yohei, Kunio Kojima, Shintaro Noda, et al.. (2015). Development of humanoid robot system for disaster response through team NEDO-JSK's approach to DARPA Robotics Challenge Finals. 805–810. 20 indexed citations
18.
Sugai, Fumihito, Satoko Abiko, Teppei Tsujita, Xin Jiang, & Masaru Uchiyama. (2013). Detumbling an uncontrolled satellite with contactless force by using an eddy current brake. 783–788. 47 indexed citations
19.
Sugai, Fumihito, Satoko Abiko, Xin Jiang, Atsushi Konno, & Masaru Uchiyama. (2013). Compensation for dead band of force measurement based on the coefficient of restitution in a hybrid simulator. Advanced Robotics. 27(12). 907–917.
20.
Sugai, Fumihito, Satoko Abiko, Teppei Tsujita, Xin Jiang, & Masaru Uchiyama. (2012). Development of an eddy current brake system for detumbling malfunctioning satellites. 325–330. 20 indexed citations

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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