Frédéric Cao

705 citations
30 papers · 456 indexed · h-index 12

Frédéric Cao

30 papers receiving 400 citations

Peers

Frédéric Cao
Comparison fields: 5 of 83
  • Computer Vision and Pattern Recognition 316
  • Media Technology 82
  • Computer Graphics and Computer-Aided Design 31
  • Applied Mathematics 48
  • Biophysics 16
Replace Christian Perwaß with:
Christian Perwaß Germany
R. Hingorani United States
Haiyong Xu China
Martin Welk Germany
Gloria Haro Spain
Donald E. McClure United States
Egil Bae Norway
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Taco Cohen Netherlands
Thomas S. Huang United States
Frédéric Cao relative to Christian Perwaß Germany Christian Perwaß's profile →
Citations per field
00.5×1.6×
Christian Perwaß · 1×
Citations per year

Countries citing papers authored by Frédéric Cao

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 18 scholars most cited alongside Frédéric Cao, 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 Frédéric Cao Line = papers co-authored together Frédéric Cao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20141
2 20147
3 201166
4 20101
5 200926
6 20081
7 200718
8 200633
9 200629
10 200650
11
Accurate estimates of false alarm number in shape recognition
20045
12
An a contrario decision framework for motion detection
20041
13 200422
14
An a contrario approach to hierarchical clustering validity assessment
20048
15 200380
16
Good continuations in digital image level lines
20036
17
Contrast Invariant Detection of Good Continuations, Corners and Terminators
20025
18 20012
19 199817
20 199812

About Frédéric Cao

Frédéric Cao is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Computer Graphics and Computer-Aided Design, Modeling and Simulation and Computational Mechanics, having authored 30 papers that have together received 456 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (10 papers), Medical Image Segmentation Techniques (6 papers), Image Processing Techniques and Applications (5 papers), Image and Object Detection Techniques (4 papers), Image Retrieval and Classification Techniques (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Computer Graphics and Visualization Techniques (3 papers) and Color Science and Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (316 citations), Media Technology (82 citations), Computer Graphics and Computer-Aided Design (31 citations), Applied Mathematics (48 citations) and Biophysics (16 citations). Frédéric Cao has collaborated with scholars based in France, Sweden and Jordan. Frequent co-authors include Frédéric Guichard, Yann Gousseau, Frédéric Sur, Simon Masnou, Patrick Pérez, Thomas Veit, Patrick Bouthémy, Jean‐Michel Morel, Pablo Musé and Pablo Musé. Their work appears in journals such as International Journal of Computer Vision, SIAM Journal on Imaging Sciences, Journal de Mathématiques Pures et Appliquées, Journal of Mathematical Imaging and Vision and Computing and Visualization in 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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