Koji Kamei
- Control and Systems Engineering top 5%
- Mechanical Engineering
- Computer Networks and Communications top 10%
- Artificial Intelligence top 10%
- Surgery
- Co-authors
- Norihiro HagitaShuichi NishioMiki SatoTakahiro MiyashitaTadashi KimuraMakoto YokooYuko SakuraiMasahiro Shiomi
- Topics
- Robotics and Automated Systems (13 papers)Context-Aware Activity Recognition Systems (9 papers)Modular Robots and Swarm Intelligence (8 papers)
- Cited by
- Control and Systems EngineeringComputer Networks and CommunicationsHuman-Computer Interaction
- Journals
- PLoS ONEJournal of Pharmacology and Experimental TherapeuticsPlastic & Reconstructive Surgery
- Partner nations
- JapanUnited StatesMalaysia
In The Last Decade
Koji Kamei
50 papers receiving 637 citations
Peers
Comparison fields: 5 of 94
- Control and Systems Engineering 198
- Mechanical Engineering 155
- Computer Networks and Communications 144
- Artificial Intelligence 130
- Surgery 124
Countries citing papers authored by Koji Kamei
This map shows the geographic impact of Koji Kamei'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 Koji Kamei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koji Kamei more than expected).
Fields of papers citing papers by Koji Kamei
This network shows the impact of papers produced by Koji Kamei. 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 Koji Kamei. The network helps show where Koji Kamei may publish in the future.
Co-authorship network of co-authors of Koji Kamei
This figure shows the co-authorship network connecting the top 25 collaborators of Koji Kamei. A scholar is included among the top collaborators of Koji Kamei 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 Koji Kamei. Koji Kamei 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 | 5 | |
| 3 | 32 | |
| 4 | 10 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 16 | |
| 9 | 15 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 13 | |
| 14 | 14 | |
| 15 | 34 | |
| 16 | 3 | |
| 17 | 9 | |
| 18 | 1 | |
| 19 | 9 | |
| 20 | A new free thenar flap. | 55 |
About Koji Kamei
Koji Kamei is a scholar working on Microbiology, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 55 papers that have together received 679 indexed citations. Recurring topics across this work include Robotics and Automated Systems (13 papers), Context-Aware Activity Recognition Systems (9 papers) and Modular Robots and Swarm Intelligence (8 papers). The work is most often cited by research in Control and Systems Engineering (198 citations), Computer Networks and Communications (144 citations) and Human-Computer Interaction (33 citations). Koji Kamei has collaborated with scholars based in Japan, United States and Malaysia. Frequent co-authors include Norihiro Hagita, Shuichi Nishio, Miki Sato, Takahiro Miyashita, Tadashi Kimura, Makoto Yokoo, Yuko Sakurai, Masahiro Shiomi, Kazuhiko Shinozawa and Takamasa Iio. Their work appears in journals such as PLoS ONE, Journal of Pharmacology and Experimental Therapeutics and Plastic & Reconstructive Surgery.
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.