Yuichiro Toda
- Computer Vision and Pattern Recognition top 5%
- Critical Care and Intensive Care Medicine top 5%
- Epidemiology
- Aerospace Engineering top 10%
- Control and Systems Engineering top 10%
- Co-authors
- Naoyuki KubotaKiyoshi MoritaHiroshi MorimatsuJános BotzheimMoritoki EgiKentaro SugimotoTomoyuki KanazawaTatsuo Iwasaki
- Topics
- Robotics and Sensor-Based Localization (33 papers)Robotic Path Planning Algorithms (24 papers)Robotics and Automated Systems (18 papers)
- Cited by
- Critical Care and Intensive Care MedicineDevelopmental NeuroscienceComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaAnesthesiologyIEEE Access
In The Last Decade
Yuichiro Toda
81 papers receiving 715 citations
Peers
Comparison fields: 5 of 108
- Computer Vision and Pattern Recognition 184
- Critical Care and Intensive Care Medicine 113
- Epidemiology 112
- Aerospace Engineering 107
- Control and Systems Engineering 104
Countries citing papers authored by Yuichiro Toda
This map shows the geographic impact of Yuichiro Toda'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 Yuichiro Toda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuichiro Toda more than expected).
Fields of papers citing papers by Yuichiro Toda
This network shows the impact of papers produced by Yuichiro Toda. 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 Yuichiro Toda. The network helps show where Yuichiro Toda may publish in the future.
Co-authorship network of co-authors of Yuichiro Toda
This figure shows the co-authorship network connecting the top 25 collaborators of Yuichiro Toda. A scholar is included among the top collaborators of Yuichiro Toda 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 Yuichiro Toda. Yuichiro Toda 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 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 9 | |
| 10 | 11 | |
| 11 | 1 | |
| 12 | 5 | |
| 13 | 12 | |
| 14 | 19 | |
| 15 | Initial self-localization based on shared information for multi-robot teleoperation system | 1 |
| 16 | Path planning using multi-resolution map for a mobile robot | 5 |
| 17 | 15 | |
| 18 | 10 | |
| 19 | 4 | |
| 20 | 3 |
About Yuichiro Toda
Yuichiro Toda is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Critical Care and Intensive Care Medicine, having authored 100 papers that have together received 743 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (33 papers), Robotic Path Planning Algorithms (24 papers) and Robotics and Automated Systems (18 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (113 citations), Developmental Neuroscience (40 citations) and Computer Vision and Pattern Recognition (184 citations). Yuichiro Toda has collaborated with scholars based in Japan, Malaysia and Hungary. Frequent co-authors include Naoyuki Kubota, Kiyoshi Morita, Hiroshi Morimatsu, János Botzheim, Moritoki Egi, Kentaro Sugimoto, Tomoyuki Kanazawa, Tatsuo Iwasaki, Azhar Aulia Saputra and Mamoru Takeuchi. Their work appears in journals such as SHILAP Revista de lepidopterología, Anesthesiology and IEEE Access.
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.