Claude Labit

614 citations
49 papers · 370 indexed · h-index 12

Claude Labit

42 papers receiving 336 citations

Peers

Claude Labit
Comparison fields: 5 of 43
  • Computer Vision and Pattern Recognition 346
  • Signal Processing 124
  • Computer Graphics and Computer-Aided Design 17
  • Media Technology 38
  • Biophysics 8
Replace Branka Zovko-Cihlar with:
Branka Zovko-Cihlar Croatia
Bing-Bing Chai United States
Erwin B. Bellers United States
F. Moscheni Switzerland
Sang-Uk Lee South Korea
D.N. Bhat United States
Min-Cheol Hong South Korea
Mikaël Le Pendu France
Wenbo Bao China
Chuang Gu United States
Claude Labit relative to Branka Zovko-Cihlar Croatia Branka Zovko-Cihlar's profile →
Citations per field
00.5×2.8×
Branka Zovko-Cihlar · 1×
Citations per year

Countries citing papers authored by Claude Labit

Since Specialization
Citations

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

Fields of papers citing papers by Claude Labit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 23 scholars most cited alongside Claude Labit, 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 Claude Labit Line = papers co-authored together Claude Labit links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201231
2 20105
3 20050
4 20021
5 20020
6 20022
7 20026
8 20021
9 20005
10 199710
11 199710
12 19974
13 199714
14 19970
15
Motion Analysis for Image Sequence Coding
199459
16 19942
17 19941
18 19921
19 199117
20 199141

About Claude Labit

Claude Labit is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology, having authored 49 papers that have together received 370 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (27 papers), Advanced Vision and Imaging (26 papers), Video Coding and Compression Technologies (19 papers), Image and Signal Denoising Methods (18 papers), Advanced Image Processing Techniques (18 papers), Medical Image Segmentation Techniques (9 papers), Advanced Image Fusion Techniques (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (346 citations), Signal Processing (124 citations) and Computer Graphics and Computer-Aided Design (17 citations). Claude Labit has collaborated with scholars based in France, Canada and Czechia. Frequent co-authors include Henri Nicolas, Georgios Tziritas, Ahmed Tamtaoui, Stéphane Pateux, Jean‐Marc Odobez, Jean-Pierre Leduc, Demin Wang, Joseph Ronsin, Demin Wang and Patrick Pérez. Their work appears in journals such as IEEE Transactions on Image Processing, Signal Processing Image Communication, Journal of Visual Communication and Image Representation, IEEE Transactions on Circuits and Systems for Video Technology and Pattern Recognition Letters.

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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