Takashi Suehiro
- Control and Systems Engineering top 1%
- Mechanical Engineering top 5%
- Computer Vision and Pattern Recognition top 2%
- Biomedical Engineering top 10%
- Aerospace Engineering top 5%
- Co-authors
- K. KitagakiKatsushi IkeuchiWoo-Keun YoonNoriaki AndoTetsuo KotokuShunsuke KudohKunikatsu TakaseK. Takase
- Topics
- Robot Manipulation and Learning (62 papers)Robotic Path Planning Algorithms (33 papers)Robotic Mechanisms and Dynamics (28 papers)
- Cited by
- Control and Systems EngineeringHuman-Computer InteractionComputer Vision and Pattern Recognition
- Partner nations
- JapanPolandUnited States
In The Last Decade
Takashi Suehiro
129 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Control and Systems Engineering 1.1k
- Mechanical Engineering 550
- Computer Vision and Pattern Recognition 469
- Biomedical Engineering 315
- Aerospace Engineering 211
Countries citing papers authored by Takashi Suehiro
This map shows the geographic impact of Takashi Suehiro'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 Takashi Suehiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takashi Suehiro more than expected).
Fields of papers citing papers by Takashi Suehiro
This network shows the impact of papers produced by Takashi Suehiro. 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 Takashi Suehiro. The network helps show where Takashi Suehiro may publish in the future.
Co-authorship network of co-authors of Takashi Suehiro
This figure shows the co-authorship network connecting the top 25 collaborators of Takashi Suehiro. A scholar is included among the top collaborators of Takashi Suehiro 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 Takashi Suehiro. Takashi Suehiro 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 | 3 | |
| 3 | 5 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 0 | |
| 10 | 9 | |
| 11 | 8 | |
| 12 | 8 | |
| 13 | 5 | |
| 14 | 1 | |
| 15 | 7 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 3 | |
| 20 | Representation and control of motion in contact and its application to assembly tasks | 28 |
About Takashi Suehiro
Takashi Suehiro is a scholar working on Control and Systems Engineering, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 147 papers that have together received 1.7k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (62 papers), Robotic Path Planning Algorithms (33 papers) and Robotic Mechanisms and Dynamics (28 papers). The work is most often cited by research in Control and Systems Engineering (1.1k citations), Human-Computer Interaction (153 citations) and Computer Vision and Pattern Recognition (469 citations). Takashi Suehiro has collaborated with scholars based in Japan, Poland and United States. Frequent co-authors include K. Kitagaki, Katsushi Ikeuchi, Woo-Keun Yoon, Noriaki Ando, Tetsuo Kotoku, Shunsuke Kudoh, Kunikatsu Takase, K. Takase, Tsutomu Hasegawa and Tetsuo Tomizawa. Their work appears in journals such as Scientific Reports, Neural Networks and Journal of the Neurological Sciences.
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.