Hitoshi Kanoh
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 10%
- Artificial Intelligence
- Transportation top 5%
- Building and Construction top 10%
- Co-authors
- Kui ChenClaus AranhaTakashi FurukawaS. SatoKazunori MizunoTsuyoshi OkunoTakuya AokiToshio Nagai
- Topics
- Data Management and Algorithms (10 papers)Robotic Path Planning Algorithms (9 papers)Cellular Automata and Applications (9 papers)
In The Last Decade
Hitoshi Kanoh
39 papers receiving 287 citations
Peers
Comparison fields: 5 of 64
- Computer Vision and Pattern Recognition 92
- Signal Processing 82
- Artificial Intelligence 79
- Transportation 76
- Building and Construction 63
Countries citing papers authored by Hitoshi Kanoh
This map shows the geographic impact of Hitoshi Kanoh'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 Hitoshi Kanoh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hitoshi Kanoh more than expected).
Fields of papers citing papers by Hitoshi Kanoh
This network shows the impact of papers produced by Hitoshi Kanoh. 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 Hitoshi Kanoh. The network helps show where Hitoshi Kanoh may publish in the future.
Co-authorship network of co-authors of Hitoshi Kanoh
This figure shows the co-authorship network connecting the top 25 collaborators of Hitoshi Kanoh. A scholar is included among the top collaborators of Hitoshi Kanoh 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 Hitoshi Kanoh. Hitoshi Kanoh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Solving the Graph Coloring Problem Using Adaptive Artificial Bee Colony | 1 |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 10 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | 4 | |
| 10 | 22 | |
| 11 | 1 | |
| 12 | 8 | |
| 13 | 3 | |
| 14 | 4 | |
| 15 | 7 | |
| 16 | Population migration: A meta-heuristics for stochastic approaches to constraint satisfaction problems | 6 |
| 17 | 12 | |
| 18 | REAL-TIME PATH PLANNING USING VIRAL INFECTION IN GENETIC ALGORITHMS | 1 |
| 19 | Image Processing Method for Intruder Detection around Power Line Towers (Special Section on Machine Vision Applications) | 1 |
| 20 | Image Processing Method for Intruder Detection around Power Line Towers. | 2 |
About Hitoshi Kanoh
Hitoshi Kanoh is a scholar working on Signal Processing, Industrial and Manufacturing Engineering and Transportation, having authored 42 papers that have together received 313 indexed citations. Recurring topics across this work include Data Management and Algorithms (10 papers), Robotic Path Planning Algorithms (9 papers) and Cellular Automata and Applications (9 papers). The work is most often cited by research in Transportation (76 citations), Signal Processing (82 citations) and Industrial and Manufacturing Engineering (52 citations). Hitoshi Kanoh has collaborated with scholars based in Japan, Slovenia and Brazil. Frequent co-authors include Kui Chen, Claus Aranha, Takashi Furukawa, S. Sato, Kazunori Mizuno, Tsuyoshi Okuno, Takuya Aoki, Toshio Nagai, Kazunori Hasegawa and Reiji Suzuki. Their work appears in journals such as Engineering Applications of Artificial Intelligence, Machine Vision and Applications and IEICE Transactions on Information and Systems.
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.