Ryuhei Hamaguchi
Impact in
- Media Technology top 5%
- Remote-Sensing Image Classification
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
Papers in
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- Advanced Image and Video Retrieval Techniques 6
- Advanced Neural Network Applications 4
- Advanced Vision and Imaging 2
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- Remote-Sensing Image Classification 7
- Co-authors
- Shuhei Hikosaka (4 shared papers)Tomoyuki Imaizumi (3 shared papers)Ken Sakurada (6 shared papers)Aito Fujita (2 shared papers)Masaki Onishi (5 shared papers)Masakazu Sato (1 shared paper)Takaya Inamori (2 shared papers)Yasutaka Furukawa (2 shared papers)
- Journals
- Remote Sensing (2 papers)IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2 papers)Journal of Aerospace Engineering (1 paper)Procedia Computer Science (1 paper)2022 IEEE International Conference on Image Processing (ICIP) (1 paper)
- Partner nations
- JapanCanadaSouth Korea
In The Last Decade
Ryuhei Hamaguchi
14 papers receiving 191 citations
Peers
Comparison fields: 5 of 58
- Media Technology 100
- Computer Vision and Pattern Recognition 67
- Atmospheric Science 51
- Ocean Engineering 33
- Environmental Engineering 24
Countries citing papers authored by Ryuhei Hamaguchi
This map shows the geographic impact of Ryuhei Hamaguchi'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 Ryuhei Hamaguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryuhei Hamaguchi more than expected).
Fields of papers citing papers by Ryuhei Hamaguchi
This network shows the impact of papers produced by Ryuhei Hamaguchi. 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 Ryuhei Hamaguchi. The network helps show where Ryuhei Hamaguchi may publish in the future.
Co-authors
The 19 scholars most cited alongside Ryuhei Hamaguchi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 60 | |
| 2 | 2017 | 36 | |
| 3 | 2018 | 26 | |
| 4 | 2020 | 14 | |
| 5 | 2016 | 14 | |
| 6 | 2023 | 13 | |
| 7 | 2018 | 10 | |
| 8 | 2022 | 7 | |
| 9 | 2020 | 7 | |
| 10 | 2022 | 4 | |
| 11 | 2024 | 2 | |
| 12 | 2021 | 2 | |
| 13 | 2018 | 2 | |
| 14 | 2024 | 1 |
About Ryuhei Hamaguchi
Ryuhei Hamaguchi is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Ocean Engineering, Aerospace Engineering and Ecology, having authored 14 papers that have together received 198 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (7 papers), Advanced Image and Video Retrieval Techniques (6 papers), Advanced Neural Network Applications (4 papers), Automated Road and Building Extraction (3 papers), Remote Sensing and LiDAR Applications (2 papers), Remote Sensing in Agriculture (2 papers), CCD and CMOS Imaging Sensors (2 papers) and Advanced Vision and Imaging (2 papers). The work is most often cited by research in Media Technology (100 citations), Computer Vision and Pattern Recognition (67 citations), Atmospheric Science (51 citations), Ocean Engineering (33 citations) and Environmental Engineering (24 citations). Ryuhei Hamaguchi has collaborated with scholars based in Japan, Canada and South Korea. Frequent co-authors include Shuhei Hikosaka, Tomoyuki Imaizumi, Ken Sakurada, Aito Fujita, Masaki Onishi, Masakazu Sato, Takaya Inamori, Yasutaka Furukawa, Nevrez İmamoğlu and Shinichi Nakasuka. Their work appears in journals such as Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Journal of Aerospace Engineering, Procedia Computer Science and 2022 IEEE International Conference on Image Processing (ICIP).
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.