Ryo Yonetani

1.2k total citations
40 papers, 447 citations indexed

About

Ryo Yonetani is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Cognitive Neuroscience. According to data from OpenAlex, Ryo Yonetani has authored 40 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 17 papers in Human-Computer Interaction and 10 papers in Cognitive Neuroscience. Recurrent topics in Ryo Yonetani's work include Gaze Tracking and Assistive Technology (12 papers), Visual Attention and Saliency Detection (11 papers) and Tactile and Sensory Interactions (7 papers). Ryo Yonetani is often cited by papers focused on Gaze Tracking and Assistive Technology (12 papers), Visual Attention and Saliency Detection (11 papers) and Tactile and Sensory Interactions (7 papers). Ryo Yonetani collaborates with scholars based in Japan, United States and Malaysia. Ryo Yonetani's co-authors include Yoichi Sato, Kris Kitani, Keita Higuchi, Takatsugu Hirayama, Hiroaki Kawashima, Akisato Kimura, Takashi Matsuyama, Masashi Hamaya, Kazutoshi Tanaka and Yifei Huang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and IEEE Robotics and Automation Letters.

In The Last Decade

Ryo Yonetani

35 papers receiving 439 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ryo Yonetani Japan 12 262 170 102 71 51 40 447
Dirk Reiners United States 13 182 0.7× 173 1.0× 42 0.4× 41 0.6× 42 0.8× 52 471
Christos Sevastopoulos United States 4 158 0.6× 122 0.7× 70 0.7× 34 0.5× 53 1.0× 12 425
Farhan Mohamed Malaysia 11 231 0.9× 94 0.6× 81 0.8× 30 0.4× 15 0.3× 70 441
Nikitas M. Sgouros Greece 9 127 0.5× 131 0.8× 114 1.1× 38 0.5× 97 1.9× 32 360
Marc Christie France 12 281 1.1× 149 0.9× 33 0.3× 107 1.5× 82 1.6× 25 459
BoYu Gao China 11 122 0.5× 155 0.9× 61 0.6× 103 1.5× 42 0.8× 44 380
C. Schmandt United States 12 181 0.7× 218 1.3× 113 1.1× 87 1.2× 22 0.4× 27 442
Frank Wallhoff Germany 14 301 1.1× 79 0.5× 189 1.9× 74 1.0× 90 1.8× 69 670
Chao Peng United States 12 131 0.5× 145 0.9× 39 0.4× 33 0.5× 29 0.6× 55 385
Johnny Lee United States 5 118 0.5× 119 0.7× 75 0.7× 35 0.5× 107 2.1× 6 370

Countries citing papers authored by Ryo Yonetani

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
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Yonetani, Ryo, et al.. (2021). Path Planning using Neural A* Search. Tokyo Tech Research Repository (Tokyo Institute of Technology). 12029–12039. 1 indexed citations
4.
Tanaka, Kazutoshi, et al.. (2021). Learning Robotic Contact Juggling. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 958–964. 3 indexed citations
5.
Yonetani, Ryo. (2021). Introduction to Federated Learning. Journal of the Japan Society for Precision Engineering. 87(8). 662–665. 1 indexed citations
6.
Yonetani, Ryo, et al.. (2020). Crowd Density Forecasting by Modeling Patch-Based Dynamics. IEEE Robotics and Automation Letters. 6(2). 287–294. 10 indexed citations
7.
Yoshida, Naoya, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto, & Ryo Yonetani. (2019). Hybrid-FL: Cooperative Learning Mechanism Using Non-IID Data in Wireless Networks.. arXiv (Cornell University). 26 indexed citations
8.
Yonetani, Ryo, Tomohiro Takahashi, Atsushi Hashimoto, & Yoshitaka Ushiku. (2019). Decentralized Learning of Generative Adversarial Networks from Multi-Client Non-iid Data.. arXiv (Cornell University). 7 indexed citations
9.
Higuchi, Keita, et al.. (2018). Exploring the Role of Tunnel Vision Simulation in the Design Cycle of Accessible Interfaces. 1–10. 3 indexed citations
10.
Kayukawa, Seita, Keita Higuchi, Ryo Yonetani, et al.. (2018). Dynamic Object Scanning. 1–4. 2 indexed citations
11.
Huang, Yifei, et al.. (2017). Temporal Localization and Spatial Segmentation of Joint Attention in Multiple First-Person Videos. 2313–2321. 6 indexed citations
12.
Yonetani, Ryo, et al.. (2016). Can Eye Help You?. 5180–5190. 92 indexed citations
13.
Yonetani, Ryo, Kris Kitani, & Yoichi Sato. (2015). Ego-surfing first person videos. 5445–5454. 23 indexed citations
14.
Yonetani, Ryo, Hiroaki Kawashima, Takekazu Kato, & Takashi Matsuyama. (2013). Modeling Video Saliency Dynamics for Viewer State Estimation. 96(8). 1675–1687.
15.
Yonetani, Ryo, et al.. (2012). On the Image Segmentation Method. IEICE Technical Report; IEICE Tech. Rep.. 111(379). 103–108. 1 indexed citations
16.
Yonetani, Ryo, Hiroaki Kawashima, Takatsugu Hirayama, & Takashi Matsuyama. (2012). Mental Focus Analysis Using the Spatio-temporal Correlation between Visual Saliency and Eye Movements. Journal of Information Processing. 20(1). 267–276. 11 indexed citations
17.
Yonetani, Ryo. (2012). Modeling video viewing behaviors for viewer state estimation. 1393–1396. 4 indexed citations
18.
Yonetani, Ryo, et al.. (2012). Semantic interpretation of eye movements using designed structures of displayed contents. 1–3. 3 indexed citations
19.
Yonetani, Ryo, et al.. (2012). Single Image Segmentation with Estimated Depth. 28.1–28.11. 2 indexed citations
20.
Yonetani, Ryo, Hiroaki Kawashima, & Takashi Matsuyama. (2012). Multi-mode saliency dynamics model for analyzing gaze and attention. 115–122. 15 indexed citations

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.

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