Mamoru Mitsuishi
- Biomedical Engineering top 1%
- Mechanical Engineering top 1%
- Surgery top 2%
- Computer Vision and Pattern Recognition top 1%
- Control and Systems Engineering top 2%
- Co-authors
- Naohiko SugitaKanako HaradaYangjin KimKenichi HibinoShin’ichi WarisawaTakayuki OsaNorihiro KoizumiKanji Ueda
- Topics
- Soft Robotics and Applications (104 papers)Surgical Simulation and Training (63 papers)Teleoperation and Haptic Systems (51 papers)
- Partner nations
- JapanSouth KoreaUnited States
In The Last Decade
Mamoru Mitsuishi
295 papers receiving 4.4k citations
Peers
Comparison fields: 5 of 163
- Biomedical Engineering 2.3k
- Mechanical Engineering 1.6k
- Surgery 1.2k
- Computer Vision and Pattern Recognition 891
- Control and Systems Engineering 511
Countries citing papers authored by Mamoru Mitsuishi
This map shows the geographic impact of Mamoru Mitsuishi'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 Mamoru Mitsuishi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mamoru Mitsuishi more than expected).
Fields of papers citing papers by Mamoru Mitsuishi
This network shows the impact of papers produced by Mamoru Mitsuishi. 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 Mamoru Mitsuishi. The network helps show where Mamoru Mitsuishi may publish in the future.
Co-authorship network of co-authors of Mamoru Mitsuishi
This figure shows the co-authorship network connecting the top 25 collaborators of Mamoru Mitsuishi. A scholar is included among the top collaborators of Mamoru Mitsuishi 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 Mamoru Mitsuishi. Mamoru Mitsuishi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 35 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 8 | |
| 8 | 7 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 7-329 Education program for Ph.D. Course Students to Cultivate Literacy and Competency : Research Internship for Ph.D. Course Students | 1 |
| 14 | 1 | |
| 15 | 3 | |
| 16 | 2 | |
| 17 | 3 | |
| 18 | 42 | |
| 19 | 0 | |
| 20 | Diagnostic system for robot using a force-torque sensor | 5 |
About Mamoru Mitsuishi
Mamoru Mitsuishi is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Mechanical Engineering, having authored 322 papers that have together received 4.6k indexed citations. Recurring topics across this work include Soft Robotics and Applications (104 papers), Surgical Simulation and Training (63 papers) and Teleoperation and Haptic Systems (51 papers). The work is most often cited by research in Biomedical Engineering (2.3k citations), Mechanical Engineering (1.6k citations) and Computer Vision and Pattern Recognition (891 citations). Mamoru Mitsuishi has collaborated with scholars based in Japan, South Korea and United States. Frequent co-authors include Naohiko Sugita, Kanako Harada, Yangjin Kim, Kenichi Hibino, Shin’ichi Warisawa, Takayuki Osa, Norihiro Koizumi, Kanji Ueda, Fumihiko Kimura and Takashi Ueta. Their work appears in journals such as PLoS ONE, Proceedings of the IEEE and Ophthalmology.
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.