Yasuo Nasu
- Biomedical Engineering top 10%
- Control and Systems Engineering top 5%
- Mechanical Engineering
- Computer Vision and Pattern Recognition
- Civil and Structural Engineering
- Co-authors
- Genci CapiK. MitobeLeonard BarolliMitsuhiro YamanoHanafiah YussofMasahiro OhkaNaoki MoriBranislav Borovać
- Topics
- Robotic Locomotion and Control (28 papers)Robot Manipulation and Learning (13 papers)Prosthetics and Rehabilitation Robotics (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaEnvironmental Monitoring and AssessmentRobotics and Autonomous Systems
In The Last Decade
Yasuo Nasu
38 papers receiving 452 citations
Peers
Comparison fields: 5 of 42
- Biomedical Engineering 398
- Control and Systems Engineering 248
- Mechanical Engineering 82
- Computer Vision and Pattern Recognition 55
- Civil and Structural Engineering 39
Countries citing papers authored by Yasuo Nasu
This map shows the geographic impact of Yasuo Nasu'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 Yasuo Nasu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasuo Nasu more than expected).
Fields of papers citing papers by Yasuo Nasu
This network shows the impact of papers produced by Yasuo Nasu. 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 Yasuo Nasu. The network helps show where Yasuo Nasu may publish in the future.
Co-authorship network of co-authors of Yasuo Nasu
This figure shows the co-authorship network connecting the top 25 collaborators of Yasuo Nasu. A scholar is included among the top collaborators of Yasuo Nasu 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 Yasuo Nasu. Yasuo Nasu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | Trajectory generation in groping locomotion of a 21-DOF humanoid robot | 7 |
| 5 | Development of a teleoperation system and an operation assist user interface for a humanoid robot | 1 |
| 6 | 9 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | Groping Locomotion of a Humanoid Robot in Environments with Obstacles | 3 |
| 10 | 1 | |
| 11 | 45 | |
| 12 | 52 | |
| 13 | 16 | |
| 14 | 2 | |
| 15 | 16 | |
| 16 | 84 | |
| 17 | 12 | |
| 18 | 5 | |
| 19 | 6 | |
| 20 | 1 |
About Yasuo Nasu
Yasuo Nasu is a scholar working on Control and Systems Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition, having authored 39 papers that have together received 477 indexed citations. Recurring topics across this work include Robotic Locomotion and Control (28 papers), Robot Manipulation and Learning (13 papers) and Prosthetics and Rehabilitation Robotics (13 papers). The work is most often cited by research in Control and Systems Engineering (248 citations), Biomedical Engineering (398 citations) and Genetics (29 citations). Yasuo Nasu has collaborated with scholars based in Japan, Australia and Malaysia. Frequent co-authors include Genci Capi, K. Mitobe, Leonard Barolli, Mitsuhiro Yamano, Leonard Barolli, Hanafiah Yussof, Masahiro Ohka, Naoki Mori, Branislav Borovać and Makoto Kudo. Their work appears in journals such as SHILAP Revista de lepidopterología, Environmental Monitoring and Assessment and Robotics and Autonomous Systems.
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.