Éric Debreuve

1.1k citations
26 papers · 297 · h-index 9

Impact in

    • Medical Image Segmentation Techniques
    • Advanced Image and Video Retrieval Techniques
    • Advanced Vision and Imaging
    • Image and Object Detection Techniques
    • Image Retrieval and Classification Techniques
    • Data Management and Algorithms

Papers in

Éric Debreuve

21 papers receiving 285 citations

Peers

Éric Debreuve
Comparison fields: 5 of 78
  • Computer Vision and Pattern Recognition 191
  • Signal Processing 41
  • Computer Graphics and Computer-Aided Design 11
  • Biophysics 11
  • Radiology, Nuclear Medicine and Imaging 43
Replace Piero Zamperoni with:
Piero Zamperoni Germany
Ali Kemal Sinop United States
Rewon Child United States
Devansh Arpit United States
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Xindi Wu United States
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Jinheng Xie China
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Citations per field
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Citations per year

Countries citing papers authored by Éric Debreuve

Since Specialization
Citations

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

Fields of papers citing papers by Éric Debreuve

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010106
2 200152
3 200928
4 200315
5 200613
6 200711
7 201910
8 20079
9 20188
10 20028
11 20068
12 20055
13 20024
14 20224
15 20053
16 20033
17 20083
18 20042
19 20052
20 20222

About Éric Debreuve

Éric Debreuve is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Signal Processing, Biophysics and Molecular Biology, having authored 26 papers that have together received 297 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (12 papers), Advanced Vision and Imaging (11 papers), Medical Imaging Techniques and Applications (6 papers), Image and Object Detection Techniques (4 papers), Advanced Image Processing Techniques (4 papers), Cell Image Analysis Techniques (3 papers), Video Coding and Compression Technologies (3 papers) and Robotics and Sensor-Based Localization (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (191 citations), Signal Processing (41 citations), Computer Graphics and Computer-Aided Design (11 citations), Biophysics (11 citations) and Radiology, Nuclear Medicine and Imaging (43 citations). Éric Debreuve has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Michel Barlaud, Vincent Garcia, Frank Nielsen, Gilles Aubert, Jacques Darcourt, Xavier Descombes, Ariane Herbulot, Fabienne De Graeve, C. Dubois and Ingrid David. Their work appears in journals such as Journal of Mathematical Imaging and Vision, Traffic, IEEE Transactions on Image Processing, Limnology and Oceanography Methods and IEEE Transactions on Medical Imaging.

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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