Kosuke Sato

3.4k citations
226 papers · 2.1k · h-index 23

Impact in

Papers in

Kosuke Sato

199 papers receiving 2.0k citations

Peers

Kosuke Sato
Comparison fields: 5 of 135
  • Human-Computer Interaction 743
  • Computer Graphics and Computer-Aided Design 173
  • Computer Vision and Pattern Recognition 962
  • Media Technology 295
  • Cognitive Neuroscience 415
Replace Daisuke Iwai with:
Daisuke Iwai Japan
Katerina Mania Greece
Yue Liu China
Dongdong Weng China
Mark Sagar New Zealand
Douglas W. Cunningham Germany
Jeremy R. Cooperstock Canada
Alex Olwal United States
Roy A. Ruddle United Kingdom
Veronica Sundstedt Sweden
Kosuke Sato relative to Daisuke Iwai Japan Daisuke Iwai's profile →
Citations per field
00.5×1.5×
Daisuke Iwai · 1×
Citations per year

Countries citing papers authored by Kosuke Sato

Since Specialization
Citations

This map shows the geographic impact of Kosuke Sato'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 Kosuke Sato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kosuke Sato more than expected).

Fields of papers citing papers by Kosuke Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kosuke Sato. 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 Kosuke Sato. The network helps show where Kosuke Sato may publish in the future.

Co-authors

The 25 scholars most cited alongside Kosuke Sato, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kosuke Sato Line = papers co-authored together Kosuke Sato links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 226 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201584
2 199181
3 201277
4 201469
5 201265
6 201358
7 201054
8 200554
9 201548
10 202147
11 202041
12 200240
13
2006 Conference on Computer Vision and Pattern Recognition Workshops
200637
14 201336
15 200534
16 201434
17 201733
18 200331
19 201029
20 201727

About Kosuke Sato

Kosuke Sato is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Cognitive Neuroscience, Media Technology and Social Psychology, having authored 226 papers that have together received 2.1k indexed citations. Recurring topics across this work include Interactive and Immersive Displays (62 papers), Tactile and Sensory Interactions (49 papers), Augmented Reality Applications (39 papers), Advanced Vision and Imaging (36 papers), Advanced Optical Imaging Technologies (28 papers), Virtual Reality Applications and Impacts (27 papers), Optical measurement and interference techniques (24 papers) and Computer Graphics and Visualization Techniques (18 papers). The work is most often cited by research in Human-Computer Interaction (743 citations), Computer Graphics and Computer-Aided Design (173 citations), Computer Vision and Pattern Recognition (962 citations), Media Technology (295 citations) and Cognitive Neuroscience (415 citations). Kosuke Sato has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Daisuke Iwai, Parinya Punpongsanon, Katsushi Ikeuchi, Masaki Yuki, Kosuke Takemura, Shinsaku Hiura, Vinai Norasakkunkit, Andrew W. Delton, S. Inokuchi and John Tooby. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, IEEE Access, Virtual Reality, Optics Express 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.

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