Daisuke Kurabayashi
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 5%
- Mechanical Engineering top 10%
- Insect Science top 2%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Jun OtaTamio AraiEiichi YoshidaRyohei KanzakiHajime AsamaTakeshi SakuraiHerianto HeriantoJun Sasaki
- Topics
- Modular Robots and Swarm Intelligence (38 papers)Insect Pheromone Research and Control (32 papers)Robotic Path Planning Algorithms (32 papers)
In The Last Decade
Daisuke Kurabayashi
99 papers receiving 724 citations
Peers
Comparison fields: 5 of 78
- Computer Vision and Pattern Recognition 275
- Computer Networks and Communications 269
- Mechanical Engineering 252
- Insect Science 244
- Cellular and Molecular Neuroscience 159
Countries citing papers authored by Daisuke Kurabayashi
This map shows the geographic impact of Daisuke Kurabayashi'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 Daisuke Kurabayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Kurabayashi more than expected).
Fields of papers citing papers by Daisuke Kurabayashi
This network shows the impact of papers produced by Daisuke Kurabayashi. 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 Daisuke Kurabayashi. The network helps show where Daisuke Kurabayashi may publish in the future.
Co-authorship network of co-authors of Daisuke Kurabayashi
This figure shows the co-authorship network connecting the top 25 collaborators of Daisuke Kurabayashi. A scholar is included among the top collaborators of Daisuke Kurabayashi 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 Daisuke Kurabayashi. Daisuke Kurabayashi 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 | 6 | |
| 3 | 11 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 6 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 36 | |
| 15 | 15 | |
| 16 | 2 | |
| 17 | Autonomous Configuration of a Transportation Network by Artificial Pheromone System | 1 |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 2 |
About Daisuke Kurabayashi
Daisuke Kurabayashi is a scholar working on Insect Science, Computer Vision and Pattern Recognition and Cellular and Molecular Neuroscience, having authored 109 papers that have together received 779 indexed citations. Recurring topics across this work include Modular Robots and Swarm Intelligence (38 papers), Insect Pheromone Research and Control (32 papers) and Robotic Path Planning Algorithms (32 papers). The work is most often cited by research in Insect Science (244 citations), Computer Vision and Pattern Recognition (275 citations) and Computer Networks and Communications (269 citations). Daisuke Kurabayashi has collaborated with scholars based in Japan, Belarus and Russia. Frequent co-authors include Jun Ota, Tamio Arai, Eiichi Yoshida, Ryohei Kanzaki, Hajime Asama, Takeshi Sakurai, Herianto Herianto, Jun Sasaki, Tetsuro Funato and Noriyasu Ando. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Sensors.
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.