Daisuke Sugimura

547 citations
39 papers · 446 · 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
    • Face and Expression Recognition 4
    • Image and Signal Denoising Methods 4

Daisuke Sugimura

36 papers receiving 438 citations

Peers

Daisuke Sugimura
Comparison fields: 5 of 65
  • Computer Vision and Pattern Recognition 324
  • Media Technology 89
  • Human-Computer Interaction 22
  • Experimental and Cognitive Psychology 33
  • Artificial Intelligence 72
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Citations per field
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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 17 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 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201559
2 200951
3 200643
4 201831
5 202125
6 202021
7 201320
8 201118
9 201914
10 201914
11 201514
12 201913
13 201913
14 201712
15 201810
16 201710
17 20159
18 20108
19 20147
20 20187

About Daisuke Sugimura

Daisuke Sugimura is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Biomedical Engineering, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging, having authored 39 papers that have together received 446 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), Non-Invasive Vital Sign Monitoring (6 papers), Video Surveillance and Tracking Methods (6 papers), Face recognition and analysis (5 papers), Face and Expression Recognition (4 papers) and Image and Signal Denoising Methods (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (324 citations), Media Technology (89 citations), Human-Computer Interaction (22 citations), Experimental and Cognitive Psychology (33 citations) and Artificial Intelligence (72 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 Multimedia, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Cognitive Communications and Networking.

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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