Takuya Kiyokawa
- Industrial and Manufacturing Engineering top 5%
- Control and Systems Engineering top 10%
- Computer Vision and Pattern Recognition
- Biomedical Engineering
- Social Psychology
- Co-authors
- Natsuki YamanobeIxchel G. Ramírez-AlpizarGustavo Alfonso Garcia RicardezJun TakamatsuGentiane VentureEnrique CoronadoTsukasa OgasawaraWeiwei Wan
- Topics
- Robot Manipulation and Learning (23 papers)Manufacturing Process and Optimization (9 papers)Robotics and Sensor-Based Localization (7 papers)
- Cited by
- Industrial and Manufacturing EngineeringControl and Systems EngineeringHuman-Computer Interaction
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Takuya Kiyokawa
29 papers receiving 336 citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Industrial and Manufacturing Engineering 141
- Control and Systems Engineering 105
- Computer Vision and Pattern Recognition 55
- Biomedical Engineering 45
- Social Psychology 41
Countries citing papers authored by Takuya Kiyokawa
This map shows the geographic impact of Takuya Kiyokawa'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 Takuya Kiyokawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takuya Kiyokawa more than expected).
Fields of papers citing papers by Takuya Kiyokawa
This network shows the impact of papers produced by Takuya Kiyokawa. 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 Takuya Kiyokawa. The network helps show where Takuya Kiyokawa may publish in the future.
Co-authorship network of co-authors of Takuya Kiyokawa
This figure shows the co-authorship network connecting the top 25 collaborators of Takuya Kiyokawa. A scholar is included among the top collaborators of Takuya Kiyokawa 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 Takuya Kiyokawa. Takuya Kiyokawa 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 23 | |
| 8 | 17 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 7 | |
| 13 | 0 | |
| 14 | 7 | |
| 15 | 2 | |
| 16 | 9 | |
| 17 | 16 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 2 |
About Takuya Kiyokawa
Takuya Kiyokawa is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 36 papers that have together received 344 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (23 papers), Manufacturing Process and Optimization (9 papers) and Robotics and Sensor-Based Localization (7 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (141 citations), Control and Systems Engineering (105 citations) and Human-Computer Interaction (19 citations). Takuya Kiyokawa has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Natsuki Yamanobe, Ixchel G. Ramírez-Alpizar, Gustavo Alfonso Garcia Ricardez, Jun Takamatsu, Gentiane Venture, Enrique Coronado, Tsukasa Ogasawara, Weiwei Wan, Kensuke Harada and Shigeki Koyanaka. Their work appears in journals such as IEEE Access, Journal of Manufacturing Systems and Robotics and Computer-Integrated Manufacturing.
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.