Jun Sato

2.1k citations
144 papers · 1.2k indexed · h-index 16

Jun Sato

122 papers receiving 1.2k citations

Peers

Jun Sato
Comparison fields: 5 of 106
  • Astronomy and Astrophysics 620
  • Hardware and Architecture 185
  • Computer Vision and Pattern Recognition 218
  • Computer Graphics and Computer-Aided Design 24
  • Media Technology 52
Replace Berk Geveci with:
Berk Geveci United States
John E. Dorband United States
Vito Di Gesù Italy
Tom Peterka United States
Marco Lanzagorta United States
M. Shirley United States
Xin Xie China
Scott Klasky United States
Guochun Shi United States
H. Michalik Germany
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Citations per field
00.5×6.5×
Berk Geveci · 1×
Citations per year

Countries citing papers authored by Jun Sato

Since Specialization
Citations

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

Fields of papers citing papers by Jun Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Jun 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 Jun Sato Line = papers co-authored together Jun Sato links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 20230
3 20230
4 20220
5 20163
6 20141
7
MULTIPLE VIEW GEOMETRY FOR MIXED DIMENSIONAL CAMERAS
20083
8 20071
9 20072
10 200612
11 20031
12 20021
13 19971
14 19950
15
An Integer Programming Approach to Instruction Set Selection Problem
19932
16
Hardware generation methodology in PEAS-I:a hardware/software codesign system for ASIP
19931
17 199215
18
A Study of Optical Functional Integrated Circuit That Uses Silica-Based Waveguide Technique
19923
19 19791
20 19791

About Jun Sato

Jun Sato is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Hardware and Architecture, Media Technology and Astronomy and Astrophysics, having authored 144 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (47 papers), Solar and Space Plasma Dynamics (24 papers), Optical measurement and interference techniques (23 papers), Robotics and Sensor-Based Localization (21 papers), Ionosphere and magnetosphere dynamics (14 papers), Image Processing Techniques and Applications (11 papers), Embedded Systems Design Techniques (9 papers) and Parallel Computing and Optimization Techniques (8 papers). The work is most often cited by research in Astronomy and Astrophysics (620 citations), Hardware and Architecture (185 citations), Computer Vision and Pattern Recognition (218 citations), Computer Graphics and Computer-Aided Design (24 citations) and Media Technology (52 citations). Jun Sato has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Roberto Cipolla, T. Kosugi, E. J. Schmahl, G. J. Hurford, Thomas R. Metcalf, A. Conway, S. Masuda, M. J. Aschwanden, David M. Smith and J. M. McTiernan. Their work appears in journals such as The Astrophysical Journal, Advances in Space Research, Solar Physics, Image and Vision Computing and SAE technical papers on CD-ROM/SAE technical paper series.

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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