Ryota Suzuki
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Human-Computer Interaction top 10%
- Social Psychology
- Cognitive Neuroscience
- Co-authors
- Hirokatsu KataokaYutaka SatohKenji IwataYue QiuYoshinori KunoYoshinori KobayashiCatherine BertrandMasao Ohmi
- Topics
- Advanced Image and Video Retrieval Techniques (9 papers)Gaze Tracking and Assistive Technology (7 papers)Multimodal Machine Learning Applications (7 papers)
- Partner nations
- JapanBangladesh
In The Last Decade
Ryota Suzuki
32 papers receiving 224 citations
Peers
Comparison fields: 5 of 72
- Computer Vision and Pattern Recognition 124
- Artificial Intelligence 43
- Human-Computer Interaction 33
- Social Psychology 29
- Cognitive Neuroscience 20
Countries citing papers authored by Ryota Suzuki
This map shows the geographic impact of Ryota Suzuki'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 Ryota Suzuki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryota Suzuki more than expected).
Fields of papers citing papers by Ryota Suzuki
This network shows the impact of papers produced by Ryota Suzuki. 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 Ryota Suzuki. The network helps show where Ryota Suzuki may publish in the future.
Co-authorship network of co-authors of Ryota Suzuki
This figure shows the co-authorship network connecting the top 25 collaborators of Ryota Suzuki. A scholar is included among the top collaborators of Ryota Suzuki 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 Ryota Suzuki. Ryota Suzuki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 51 | |
| 7 | 20 | |
| 8 | 18 | |
| 9 | 5 | |
| 10 | Hyperbolic Disk Embeddings for Directed Acyclic Graphs | 2 |
| 11 | 2 | |
| 12 | Ge/Siヘテロ接合トンネル電界効果トランジスタの電気特性に及ぼすGe源中の不純物濃度の影響【JST・京大機械翻訳】 | 1 |
| 13 | 2 | |
| 14 | 0 | |
| 15 | 1 | |
| 16 | 8 | |
| 17 | 2 | |
| 18 | 26 | |
| 19 | A Neural Network Model for Extracting Correlated Information in Sensory Integration | 0 |
| 20 | 3 |
About Ryota Suzuki
Ryota Suzuki is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Process Chemistry and Technology, having authored 35 papers that have together received 232 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (9 papers), Gaze Tracking and Assistive Technology (7 papers) and Multimodal Machine Learning Applications (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (124 citations), Human-Computer Interaction (33 citations) and Computational Mathematics (1 citation). Ryota Suzuki has collaborated with scholars based in Japan and Bangladesh. Frequent co-authors include Hirokatsu Kataoka, Yutaka Satoh, Kenji Iwata, Yue Qiu, Yoshinori Kuno, Yoshinori Kobayashi, Catherine Bertrand, Masao Ohmi, H. Kado and Keiichi Yamazaki. Their work appears in journals such as Applied Physics Letters, IEEE Transactions on Biomedical Engineering and Sensors.
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.