Daisuke Sugimura

531 citations
37 papers · 393 · h-index 13

Impact in

Papers in

    • Advanced Vision and Imaging 11
    • Image Enhancement Techniques 9
    • Advanced Image Processing Techniques 7
    • Video Surveillance and Tracking Methods 6
    • Face recognition and analysis 5
    • Human Pose and Action Recognition 4
    • Non-Invasive Vital Sign Monitoring 5

Daisuke Sugimura

35 papers receiving 384 citations

Peers

Daisuke Sugimura
Comparison fields: 5 of 64
  • Computer Vision and Pattern Recognition 287
  • Media Technology 83
  • Human-Computer Interaction 20
  • Experimental and Cognitive Psychology 26
  • Artificial Intelligence 63
Replace Seok-Woo Jang with:
Seok-Woo Jang South Korea
Cien Fan China
Constantin Vertan Romania
Deyun Chen China
Mauricio Correa Chile
Antony Lam Japan
Wenhan Zhu China
Dongyue Chen China
Amir Gholaminejad United States
Sheng Liu China
Daisuke Sugimura relative to Seok-Woo Jang South Korea Seok-Woo Jang's profile →
Citations per field
00.5×3.6×
Seok-Woo Jang · 1×
Citations per year

Countries citing papers authored by Daisuke Sugimura

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Sugimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Daisuke Sugimura, 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 Daisuke Sugimura Line = papers co-authored together Daisuke Sugimura links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201554
2 200944
3 200634
4 201830
5 202122
6 201117
7 201316
8 202015
9 201514
10 201712
11 201912
12 201912
13 201912
14 201911
15 201710
16 201810
17 20158
18 20107
19 20187
20 20146

About Daisuke Sugimura

Daisuke Sugimura is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Media Technology, Cardiology and Cardiovascular Medicine and Artificial Intelligence, having authored 37 papers that have together received 393 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (11 papers), Image Enhancement Techniques (9 papers), Advanced Image Processing Techniques (7 papers), Video Surveillance and Tracking Methods (6 papers), Face recognition and analysis (5 papers), Non-Invasive Vital Sign Monitoring (5 papers), Optical Imaging and Spectroscopy Techniques (4 papers) and Human Pose and Action Recognition (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (287 citations), Media Technology (83 citations), Human-Computer Interaction (20 citations), Experimental and Cognitive Psychology (26 citations) and Artificial Intelligence (63 citations). Daisuke Sugimura has collaborated with scholars based in Japan. Frequent co-authors include Takayuki Hamamoto, Hiroki Yamashita, Yoichi Sato, Akihiro Sugimoto, Takahiro Okabe, Kris Kitani, Takayuki Honda, Yoshinori Kobayashi, Yusuke Sugano and Koya Sato. Their work appears in journals such as IEEE Transactions on Image Processing, Machine Vision and Applications, IEEE Transactions on Computational Imaging, Journal of the Optical Society of America A and Applied Optics.

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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