Ryo Yonetani
- Computer Vision and Pattern Recognition top 5%
- Human-Computer Interaction top 2%
- Artificial Intelligence top 10%
- Cognitive Neuroscience
- Control and Systems Engineering
- Co-authors
- Yoichi SatoKris KitaniKeita HiguchiTakatsugu HirayamaHiroaki KawashimaAkisato KimuraTakashi MatsuyamaMasashi Hamaya
- Topics
- Gaze Tracking and Assistive Technology (12 papers)Visual Attention and Saliency Detection (11 papers)Tactile and Sensory Interactions (7 papers)
- Cited by
- Human-Computer InteractionComputer Vision and Pattern RecognitionComputer Science Applications
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE AccessIEEE Robotics and Automation Letters
- Partner nations
- JapanUnited StatesMalaysia
In The Last Decade
Ryo Yonetani
35 papers receiving 439 citations
Peers
Comparison fields: 5 of 61
- Computer Vision and Pattern Recognition 262
- Human-Computer Interaction 170
- Artificial Intelligence 102
- Cognitive Neuroscience 71
- Control and Systems Engineering 51
Countries citing papers authored by Ryo Yonetani
This map shows the geographic impact of Ryo Yonetani'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 Ryo Yonetani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryo Yonetani more than expected).
Fields of papers citing papers by Ryo Yonetani
This network shows the impact of papers produced by Ryo Yonetani. 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 Ryo Yonetani. The network helps show where Ryo Yonetani may publish in the future.
Co-authorship network of co-authors of Ryo Yonetani
This figure shows the co-authorship network connecting the top 25 collaborators of Ryo Yonetani. A scholar is included among the top collaborators of Ryo Yonetani 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 Ryo Yonetani. Ryo Yonetani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | Path Planning using Neural A* Search | 1 |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 10 | |
| 7 | Hybrid-FL: Cooperative Learning Mechanism Using Non-IID Data in Wireless Networks. | 26 |
| 8 | Decentralized Learning of Generative Adversarial Networks from Multi-Client Non-iid Data. | 7 |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 6 | |
| 12 | 92 | |
| 13 | 23 | |
| 14 | Modeling Video Saliency Dynamics for Viewer State Estimation | 0 |
| 15 | On the Image Segmentation Method | 1 |
| 16 | 11 | |
| 17 | 4 | |
| 18 | 3 | |
| 19 | 2 | |
| 20 | 15 |
About Ryo Yonetani
Ryo Yonetani is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Human Factors and Ergonomics, having authored 40 papers that have together received 447 indexed citations. Recurring topics across this work include Gaze Tracking and Assistive Technology (12 papers), Visual Attention and Saliency Detection (11 papers) and Tactile and Sensory Interactions (7 papers). The work is most often cited by research in Human-Computer Interaction (170 citations), Computer Vision and Pattern Recognition (262 citations) and Computer Science Applications (21 citations). Ryo Yonetani has collaborated with scholars based in Japan, United States and Malaysia. Frequent co-authors include Yoichi Sato, Kris Kitani, Keita Higuchi, Takatsugu Hirayama, Hiroaki Kawashima, Akisato Kimura, Takashi Matsuyama, Masashi Hamaya, Kazutoshi Tanaka and Yifei Huang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and IEEE Robotics and Automation Letters.
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.