Kiyosumi Kidono
- Computer Vision and Pattern Recognition top 5%
- Automotive Engineering top 5%
- Aerospace Engineering top 10%
- Electrical and Electronic Engineering
- Environmental Engineering top 10%
- Co-authors
- Jun MiuraTakashi NaitoChunzhao GuoAkihiro WatanabeYoshiko KojimaYoshiaki ShiraiYoshiki NinomiyaM. Ogawa
- Topics
- Autonomous Vehicle Technology and Safety (14 papers)Video Surveillance and Tracking Methods (14 papers)Robotic Path Planning Algorithms (9 papers)
- Journals
- IEEE AccessIEEE Transactions on Intelligent Transportation SystemsSAE technical papers on CD-ROM/SAE technical paper series
- Partner nations
- JapanSwitzerlandCanada
In The Last Decade
Kiyosumi Kidono
33 papers receiving 499 citations
Peers
Comparison fields: 5 of 54
- Computer Vision and Pattern Recognition 310
- Automotive Engineering 181
- Aerospace Engineering 156
- Electrical and Electronic Engineering 108
- Environmental Engineering 81
Countries citing papers authored by Kiyosumi Kidono
This map shows the geographic impact of Kiyosumi Kidono'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 Kiyosumi Kidono with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kiyosumi Kidono more than expected).
Fields of papers citing papers by Kiyosumi Kidono
This network shows the impact of papers produced by Kiyosumi Kidono. 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 Kiyosumi Kidono. The network helps show where Kiyosumi Kidono may publish in the future.
Co-authorship network of co-authors of Kiyosumi Kidono
This figure shows the co-authorship network connecting the top 25 collaborators of Kiyosumi Kidono. A scholar is included among the top collaborators of Kiyosumi Kidono 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 Kiyosumi Kidono. Kiyosumi Kidono 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 | 12 | |
| 3 | 13 | |
| 4 | 15 | |
| 5 | 15 | |
| 6 | 48 | |
| 7 | 12 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 7 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 17 | |
| 14 | 3 | |
| 15 | Decision Method of the Material Characteristics by Using Three Wavelength Images | 3 |
| 16 | 18 | |
| 17 | 65 | |
| 18 | 2 | |
| 19 | 62 | |
| 20 | 3 |
About Kiyosumi Kidono
Kiyosumi Kidono is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Instrumentation, having authored 33 papers that have together received 527 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (14 papers), Video Surveillance and Tracking Methods (14 papers) and Robotic Path Planning Algorithms (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (310 citations), Automotive Engineering (181 citations) and Instrumentation (45 citations). Kiyosumi Kidono has collaborated with scholars based in Japan, Switzerland and Canada. Frequent co-authors include Jun Miura, Takashi Naito, Chunzhao Guo, Akihiro Watanabe, Yoshiko Kojima, Yoshiaki Shirai, Yoshiki Ninomiya, M. Ogawa, Junichi MEGURO and Shintaro Arai. Their work appears in journals such as IEEE Access, IEEE Transactions on Intelligent Transportation Systems and SAE technical papers on CD-ROM/SAE technical paper series.
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.