Ryosuke Araki
Impact in
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- Generative Adversarial Networks and Image Synthesis
- Advanced Neural Network Applications
- Advanced Image Processing Techniques
- Neurology top 10%
- Brain Tumor Detection and Classification
Papers in
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- Robot Manipulation and Learning 6
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- Advanced Neural Network Applications 4
- Generative Adversarial Networks and Image Synthesis 2
- Co-authors
- Leonardo Rundo (2 shared papers)Hideaki Hayashi (2 shared papers)Yujiro Furukawa (2 shared papers)Giancarlo Mauri (2 shared papers)Hideki Nakayama (2 shared papers)Changhee Han (2 shared papers)Wataru Shimoda (1 shared paper)Hironobu Fujiyoshi (6 shared papers)
- Journals
- IEEE Access (1 paper)Advanced Robotics (1 paper)Journal of the Robotics Society of Japan (1 paper)BOA (University of Milano-Bicocca) (1 paper)2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (1 paper)
In The Last Decade
Ryosuke Araki
8 papers receiving 402 citations
Peers
Comparison fields: 5 of 86
- Computer Vision and Pattern Recognition 229
- Neurology 78
- Health Informatics 9
- Biophysics 30
- Radiology, Nuclear Medicine and Imaging 93
Countries citing papers authored by Ryosuke Araki
This map shows the geographic impact of Ryosuke Araki'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 Ryosuke Araki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryosuke Araki more than expected).
Fields of papers citing papers by Ryosuke Araki
This network shows the impact of papers produced by Ryosuke Araki. 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 Ryosuke Araki. The network helps show where Ryosuke Araki may publish in the future.
Co-authors
The 21 scholars most cited alongside Ryosuke Araki, 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 | 202 | |
| 2 | 2019 | 159 | |
| 3 | 2020 | 22 | |
| 4 | 2019 | 10 | |
| 5 | 2022 | 9 | |
| 6 | 2019 | 7 | |
| 7 | 2021 | 3 | |
| 8 | 2018 | 1 |
About Ryosuke Araki
Ryosuke Araki is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering and Biophysics, having authored 8 papers that have together received 413 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (6 papers), Advanced Neural Network Applications (4 papers), Soft Robotics and Applications (3 papers), Adversarial Robustness in Machine Learning (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Hand Gesture Recognition Systems (1 paper), Advanced Manufacturing and Logistics Optimization (1 paper) and Robotics and Sensor-Based Localization (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (229 citations), Neurology (78 citations), Health Informatics (9 citations), Biophysics (30 citations) and Radiology, Nuclear Medicine and Imaging (93 citations). Ryosuke Araki has collaborated with scholars based in Japan, Italy and Singapore. Frequent co-authors include Leonardo Rundo, Hideaki Hayashi, Yujiro Furukawa, Giancarlo Mauri, Hideki Nakayama, Changhee Han, Wataru Shimoda, Hironobu Fujiyoshi, Takayoshi Yamashita and Tsubasa Hirakawa. Their work appears in journals such as IEEE Access, Advanced Robotics, Journal of the Robotics Society of Japan, BOA (University of Milano-Bicocca) and 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
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.