Ryo Saegusa
- Civil and Structural Engineering top 5%
- Control and Systems Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Artificial Intelligence
- Co-authors
- Shuji HashimotoShingo NakamuraTomoyuki YamaguchiGiorgio MettaGiulio SandiniHitoshi SakanoSylvain CalinonPetar Kormushev
- Topics
- Robot Manipulation and Learning (14 papers)Robotic Locomotion and Control (10 papers)Motor Control and Adaptation (7 papers)
In The Last Decade
Ryo Saegusa
38 papers receiving 502 citations
Peers
Comparison fields: 5 of 76
- Civil and Structural Engineering 190
- Control and Systems Engineering 144
- Computer Vision and Pattern Recognition 92
- Biomedical Engineering 83
- Artificial Intelligence 82
Countries citing papers authored by Ryo Saegusa
This map shows the geographic impact of Ryo Saegusa'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 Ryo Saegusa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryo Saegusa more than expected).
Fields of papers citing papers by Ryo Saegusa
This network shows the impact of papers produced by Ryo Saegusa. 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 Ryo Saegusa. The network helps show where Ryo Saegusa may publish in the future.
Co-authorship network of co-authors of Ryo Saegusa
This figure shows the co-authorship network connecting the top 25 collaborators of Ryo Saegusa. A scholar is included among the top collaborators of Ryo Saegusa 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 Ryo Saegusa. Ryo Saegusa 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 | 7 | |
| 3 | 12 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 21 | |
| 7 | 7 | |
| 8 | 3 | |
| 9 | 10 | |
| 10 | RHYTHM INTERACTION SYSTEM BASED ON RHYTHM ASSOCIATION | 1 |
| 11 | Autonomous Navigation of a Mobile Robot Based on Passive RFID | 2 |
| 12 | 2 | |
| 13 | 16 | |
| 14 | 205 | |
| 15 | 1 | |
| 16 | On the evaluation of a nonlinear Principal Component Analysis | 3 |
| 17 | 7 | |
| 18 | Nonlinear Principal Component Analysis to Preserve the Order of Principal Components | 1 |
| 19 | 1 | |
| 20 | 1 |
About Ryo Saegusa
Ryo Saegusa is a scholar working on Control and Systems Engineering, Analytical Chemistry and Rehabilitation, having authored 40 papers that have together received 531 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (14 papers), Robotic Locomotion and Control (10 papers) and Motor Control and Adaptation (7 papers). The work is most often cited by research in Civil and Structural Engineering (190 citations), Control and Systems Engineering (144 citations) and Geology (25 citations). Ryo Saegusa has collaborated with scholars based in Japan, Italy and Germany. Frequent co-authors include Shuji Hashimoto, Shingo Nakamura, Tomoyuki Yamaguchi, Giorgio Metta, Giulio Sandini, Hitoshi Sakano, Sylvain Calinon, Petar Kormushev, Lorenzo Natale and Sunhong Park. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Neural Networks and Learning Systems and Neurocomputing.
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.