C. Odet

820 citations
26 papers · 608 · h-index 12

Impact in

Papers in

C. Odet

26 papers receiving 575 citations

Peers

C. Odet
Comparison fields: 5 of 81
  • Computer Graphics and Computer-Aided Design 101
  • Computer Vision and Pattern Recognition 249
  • Radiology, Nuclear Medicine and Imaging 215
  • Computational Mechanics 109
  • Media Technology 42
Replace John A. Little with:
John A. Little United Kingdom
Ingwer C. Carlsen Germany
George J. Grevera United States
Marc Droske Germany
Nicolas Normand France
E.-J.D. Pol Netherlands
Hüseyin Tek United States
Mariappan S. Nadar United States
Jean-Marie Rocchisani France
Simiao Yu United Kingdom
C. Odet relative to John A. Little United Kingdom John A. Little's profile →
Citations per field
00.5×2.6×
John A. Little · 1×
Citations per year

Countries citing papers authored by C. Odet

Since Specialization
Citations

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

Fields of papers citing papers by C. Odet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside C. Odet, 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 C. Odet Line = papers co-authored together C. Odet 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 2004142
2 1991141
3 198654
4 200045
5 199233
6 200333
7 200724
8 201023
9 200419
10 200717
11 200414
12 198511
13 200910
14 20029
15 20077
16 20046
17 19833
18
Image segmentation model
20043
19 20023
20 19943

About C. Odet

C. Odet is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Artificial Intelligence and Mechanics of Materials, having authored 26 papers that have together received 608 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (10 papers), Medical Imaging Techniques and Applications (8 papers), Advanced X-ray and CT Imaging (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Advanced MRI Techniques and Applications (4 papers), Image and Object Detection Techniques (3 papers), Image Retrieval and Classification Techniques (3 papers) and Osteoarthritis Treatment and Mechanisms (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (101 citations), Computer Vision and Pattern Recognition (249 citations), Radiology, Nuclear Medicine and Imaging (215 citations), Computational Mechanics (109 citations) and Media Technology (42 citations). C. Odet has collaborated with scholars based in France, Algeria and United States. Frequent co-authors include Françoise Peyrin, Boubakeur Belaroussi, Hervé Saint‐Jalmes, Guylaine Collewet, Isabelle E. Magnin, Françoise Cluzeau, Alain Brémond, R. Goutte, E. Chereul and M. Janier. Their work appears in journals such as IEEE Transactions on Nuclear Science, NMR in Biomedicine, Nondestructive Testing And Evaluation, Signal Processing and Journal of Magnetic Resonance.

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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