Sumio Yano
- Media Technology top 0.5%
- Human-Computer Interaction top 0.5%
- Cognitive Neuroscience top 5%
- Computer Vision and Pattern Recognition top 2%
- Molecular Biology
- Co-authors
- Tetsuo MitsuhashiMasaki EmotoS. IdeHarold ThwaitesHiroshi OnoFilippo SperanzaWa James TamKoichi Shimono
- Topics
- Advanced Optical Imaging Technologies (38 papers)Virtual Reality Applications and Impacts (16 papers)Visual perception and processing mechanisms (16 papers)
- Journals
- Journal of Biological ChemistryBiochemical and Biophysical Research CommunicationsFEBS Letters
- Partner nations
- JapanSouth KoreaUnited States
In The Last Decade
Sumio Yano
98 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 138
- Media Technology 815
- Human-Computer Interaction 573
- Cognitive Neuroscience 542
- Computer Vision and Pattern Recognition 404
- Molecular Biology 184
Countries citing papers authored by Sumio Yano
This map shows the geographic impact of Sumio Yano'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 Sumio Yano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumio Yano more than expected).
Fields of papers citing papers by Sumio Yano
This network shows the impact of papers produced by Sumio Yano. 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 Sumio Yano. The network helps show where Sumio Yano may publish in the future.
Co-authorship network of co-authors of Sumio Yano
This figure shows the co-authorship network connecting the top 25 collaborators of Sumio Yano. A scholar is included among the top collaborators of Sumio Yano 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 Sumio Yano. Sumio Yano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 8 | |
| 3 | 0 | |
| 4 | 16 | |
| 5 | Fineness of motion parallax affected evaluation of 3D projected image | 2 |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 4 | |
| 10 | 4 | |
| 11 | 2 | |
| 12 | 16 | |
| 13 | Mouth Tracking from Video Sequences using Trainable Multivariate Gaussian Classifiers | 1 |
| 14 | 5 | |
| 15 | 3 | |
| 16 | 37 | |
| 17 | 46 | |
| 18 | Perception of Depth Movement for Binocular Fusion | 1 |
| 19 | Phase-Plane Analyses of Parametrically and Self Excited Mechanical Systems | 2 |
| 20 | 2 |
About Sumio Yano
Sumio Yano is a scholar working on Media Technology, Human-Computer Interaction and Physical Therapy, Sports Therapy and Rehabilitation, having authored 108 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Optical Imaging Technologies (38 papers), Virtual Reality Applications and Impacts (16 papers) and Visual perception and processing mechanisms (16 papers). The work is most often cited by research in Human-Computer Interaction (573 citations), Media Technology (815 citations) and Cognitive Neuroscience (542 citations). Sumio Yano has collaborated with scholars based in Japan, South Korea and United States. Frequent co-authors include Tetsuo Mitsuhashi, Masaki Emoto, S. Ide, Harold Thwaites, Hiroshi Ono, Filippo Speranza, Wa James Tam, Koichi Shimono, Atsuhiko Iijima and Takehiko Bando. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications and FEBS 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.