Hiromu Kakuya
- Control and Systems Engineering top 5%
- Biomedical Engineering
- Mechanical Engineering
- Computer Vision and Pattern Recognition top 10%
- Fluid Flow and Transfer Processes top 5%
- Co-authors
- Kazuhiro KosugeMasayuki ShimizuK. KitagakiTomoaki UtsunomiyaShinji NakagawaAtsushi ShimadaYasuhisa HirataShinya Sato
- Topics
- Robot Manipulation and Learning (5 papers)Biodiesel Production and Applications (4 papers)Wind Energy Research and Development (4 papers)
- Cited by
- Fluid Flow and Transfer ProcessesControl and Systems EngineeringComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on RoboticsSAE technical papers on CD-ROM/SAE technical paper seriesOcean Engineering
- Partner nations
- JapanPolandUnited States
In The Last Decade
Hiromu Kakuya
16 papers receiving 390 citations
Peers
Comparison fields: 5 of 43
- Control and Systems Engineering 268
- Biomedical Engineering 162
- Mechanical Engineering 82
- Computer Vision and Pattern Recognition 76
- Fluid Flow and Transfer Processes 74
Countries citing papers authored by Hiromu Kakuya
This map shows the geographic impact of Hiromu Kakuya'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 Hiromu Kakuya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiromu Kakuya more than expected).
Fields of papers citing papers by Hiromu Kakuya
This network shows the impact of papers produced by Hiromu Kakuya. 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 Hiromu Kakuya. The network helps show where Hiromu Kakuya may publish in the future.
Co-authorship network of co-authors of Hiromu Kakuya
This figure shows the co-authorship network connecting the top 25 collaborators of Hiromu Kakuya. A scholar is included among the top collaborators of Hiromu Kakuya 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 Hiromu Kakuya. Hiromu Kakuya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 7 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 22 | |
| 8 | 17 | |
| 9 | 242 | |
| 10 | 5 | |
| 11 | 20 | |
| 12 | 1 | |
| 13 | 8 | |
| 14 | 25 | |
| 15 | 2 | |
| 16 | 18 |
About Hiromu Kakuya
Hiromu Kakuya is a scholar working on Fluid Flow and Transfer Processes, Control and Systems Engineering and Automotive Engineering, having authored 16 papers that have together received 404 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (5 papers), Biodiesel Production and Applications (4 papers) and Wind Energy Research and Development (4 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (74 citations), Control and Systems Engineering (268 citations) and Computer Vision and Pattern Recognition (76 citations). Hiromu Kakuya has collaborated with scholars based in Japan, Poland and United States. Frequent co-authors include Kazuhiro Kosuge, Masayuki Shimizu, K. Kitagaki, Tomoaki Utsunomiya, Shinji Nakagawa, Atsushi Shimada, Yasuhisa Hirata, Shinya Sato, Shigeo Yoshida and Takashi Okada. Their work appears in journals such as IEEE Transactions on Robotics, SAE technical papers on CD-ROM/SAE technical paper series and Ocean Engineering.
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.