Didier Demigny

719 citations
30 papers · 290 · h-index 8

Impact in

Papers in

Didier Demigny

27 papers receiving 258 citations

Peers

Didier Demigny
Comparison fields: 5 of 58
  • Computer Vision and Pattern Recognition 182
  • Hardware and Architecture 58
  • Media Technology 59
  • Industrial and Manufacturing Engineering 33
  • Computer Networks and Communications 46
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Sungdae Cho United States
Philipp Gysel United States
Snježana Rimac-Drlje Croatia
Chae Eun Rhee South Korea
Jae‐Ho Nah South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Didier Demigny

Since Specialization
Citations

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

Fields of papers citing papers by Didier Demigny

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Didier Demigny, 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 Didier Demigny Line = papers co-authored together Didier Demigny links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200282
2 199773
3 200226
4 200213
5 200212
6 201010
7 200410
8 20039
9 20097
10 20027
11 20086
12 20055
13 20084
14 20023
15 20103
16 20023
17 20052
18 20092
19 20052
20 20092

About Didier Demigny

Didier Demigny is a scholar working on Computer Vision and Pattern Recognition, Hardware and Architecture, Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence, having authored 30 papers that have together received 290 indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (13 papers), Interconnection Networks and Systems (9 papers), Image and Signal Denoising Methods (8 papers), Medical Image Segmentation Techniques (7 papers), CCD and CMOS Imaging Sensors (5 papers), Image and Object Detection Techniques (3 papers), Digital Image Processing Techniques (3 papers) and VLSI and FPGA Design Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (182 citations), Hardware and Architecture (58 citations), Media Technology (59 citations), Industrial and Manufacturing Engineering (33 citations) and Computer Networks and Communications (46 citations). Didier Demigny has collaborated with scholars based in France. Frequent co-authors include Federico García Lorca, Sébastien Pillement, Daniel Chillet, N. Abel, Rached Tourki, Ridha Djemal, Pascal Benoit, Michel Robert, Lionel Torres and Gilles Sassatelli. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Pattern Analysis and Machine Intelligence, Real-Time Imaging, Journal of Real-Time Image Processing and Journal of Computer Science.

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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