Satoshi Shioiri
- Cognitive Neuroscience top 2%
- Computer Vision and Pattern Recognition top 5%
- Social Psychology top 5%
- Epidemiology
- Human-Computer Interaction top 2%
- Co-authors
- Hirohisa YaguchiPatrick CavanaghKazumichi MatsumiyaIchiro KurikiRyoichi NakashimaMitsuo IkedaYu FangHiroyuki Yaguchi
- Topics
- Visual perception and processing mechanisms (79 papers)Color perception and design (25 papers)Color Science and Applications (19 papers)
- Partner nations
- JapanUnited StatesTaiwan
In The Last Decade
Satoshi Shioiri
99 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 108
- Cognitive Neuroscience 997
- Computer Vision and Pattern Recognition 278
- Social Psychology 214
- Epidemiology 156
- Human-Computer Interaction 154
Countries citing papers authored by Satoshi Shioiri
This map shows the geographic impact of Satoshi Shioiri'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 Satoshi Shioiri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satoshi Shioiri more than expected).
Fields of papers citing papers by Satoshi Shioiri
This network shows the impact of papers produced by Satoshi Shioiri. 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 Satoshi Shioiri. The network helps show where Satoshi Shioiri may publish in the future.
Co-authorship network of co-authors of Satoshi Shioiri
This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Shioiri. A scholar is included among the top collaborators of Satoshi Shioiri 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 Satoshi Shioiri. Satoshi Shioiri 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 | 1 | |
| 3 | 1 | |
| 4 | Estimation of preferences to images by facial expression analysis | 1 |
| 5 | 5 | |
| 6 | 30 | |
| 7 | 7 | |
| 8 | 1 | |
| 9 | Using contextual cueing based on 3D structure of scene to estimate the location of gaze | 1 |
| 10 | 7 | |
| 11 | 0 | |
| 12 | The Effect of Luminance Contrast and Stimulus Eccentricity on the Subjective Depth | 2 |
| 13 | Different effects between explicit and implicit learning in visual search | 0 |
| 14 | 6 | |
| 15 | 29 | |
| 16 | 0 | |
| 17 | 10 | |
| 18 | 27 | |
| 19 | Spatial frequency channels and size-disparity correlation of contrast sensitivity for stereopsis | 1 |
| 20 | 7 |
About Satoshi Shioiri
Satoshi Shioiri is a scholar working on Cognitive Neuroscience, Human-Computer Interaction and Social Psychology, having authored 112 papers that have together received 1.3k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (79 papers), Color perception and design (25 papers) and Color Science and Applications (19 papers). The work is most often cited by research in Cognitive Neuroscience (997 citations), Human-Computer Interaction (154 citations) and Computer Vision and Pattern Recognition (278 citations). Satoshi Shioiri has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Hirohisa Yaguchi, Patrick Cavanagh, Kazumichi Matsumiya, Ichiro Kuriki, Ryoichi Nakashima, Mitsuo Ikeda, Yu Fang, Hiroyuki Yaguchi, Haisong Xu and Yoichi Miyake. Their work appears in journals such as PLoS ONE, Current Biology and Scientific Reports.
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.