Kenta Kawamoto
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Aerospace Engineering
- Control and Systems Engineering
- Pulmonary and Respiratory Medicine
- Co-authors
- M. FukuchiJ.-S. GutmannSeidai MuraiKoichi ItoKoji ShimadaKuniaki NodaCatherine WeaverJens-Steffen Gutmann
- Topics
- Robot Manipulation and Learning (4 papers)Reinforcement Learning in Robotics (4 papers)Human Pose and Action Recognition (2 papers)
- Journals
- IEEE Robotics and Automation LettersLasers in Medical ScienceJournal of Analytical Methods in Chemistry
- Partner nations
- JapanUnited StatesTaiwan
In The Last Decade
Kenta Kawamoto
11 papers receiving 187 citations
Peers
Comparison fields: 5 of 57
- Computer Vision and Pattern Recognition 104
- Biomedical Engineering 80
- Aerospace Engineering 76
- Control and Systems Engineering 41
- Pulmonary and Respiratory Medicine 14
Countries citing papers authored by Kenta Kawamoto
This map shows the geographic impact of Kenta Kawamoto'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 Kenta Kawamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenta Kawamoto more than expected).
Fields of papers citing papers by Kenta Kawamoto
This network shows the impact of papers produced by Kenta Kawamoto. 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 Kenta Kawamoto. The network helps show where Kenta Kawamoto may publish in the future.
Co-authorship network of co-authors of Kenta Kawamoto
This figure shows the co-authorship network connecting the top 25 collaborators of Kenta Kawamoto. A scholar is included among the top collaborators of Kenta Kawamoto 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 Kenta Kawamoto. Kenta Kawamoto 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 | 1 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 0 | |
| 10 | Self-regulation mechanism for continual autonomous learning in open-ended environments. | 2 |
| 11 | Reward-free learning using sparsely-connected hidden Markov models and local controllers. | 2 |
| 12 | 132 | |
| 13 | 4 | |
| 14 | 31 | |
| 15 | 16 |
About Kenta Kawamoto
Kenta Kawamoto is a scholar working on Developmental and Educational Psychology, Orthodontics and Artificial Intelligence, having authored 15 papers that have together received 198 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (4 papers), Reinforcement Learning in Robotics (4 papers) and Human Pose and Action Recognition (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (104 citations), Aerospace Engineering (76 citations) and Biomedical Engineering (80 citations). Kenta Kawamoto has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include M. Fukuchi, J.-S. Gutmann, Seidai Murai, Koichi Ito, Koji Shimada, Kuniaki Noda, Catherine Weaver, Jens-Steffen Gutmann, Chen Tang and Wei Zhan. Their work appears in journals such as IEEE Robotics and Automation Letters, Lasers in Medical Science and Journal of Analytical Methods in Chemistry.
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.