Hubert Cardot
Impact in
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- Medical Image Segmentation Techniques
- Digital Imaging for Blood Diseases
- Image Retrieval and Classification Techniques
- Biophysics top 10%
- Cell Image Analysis Techniques
Papers in
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- Medical Image Segmentation Techniques 8
- Image Retrieval and Classification Techniques 7
- Face and Expression Recognition 4
- Image and Object Detection Techniques 2
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- Neural Networks and Applications 11
- AI in cancer detection 4
- Fuzzy Logic and Control Systems 3
- Co-authors
- Olivier Lézoray (15 shared papers)Romuald Boné (6 shared papers)Christophe Charrier (4 shared papers)Marinette Revenu (5 shared papers)Abderrahim Elmoataz (5 shared papers)Bernard Victorri (2 shared papers)Jean-Yves Ramel (1 shared paper)Sébastien Lefèvre (1 shared paper)
- Journals
- Neurocomputing (2 papers)International Journal of Neural Systems (2 papers)Neural Processing Letters (1 paper)Machine Vision and Applications (1 paper)IEEE Transactions on Image Processing (1 paper)
- Partner nations
- FranceLuxembourgUnited States
In The Last Decade
Hubert Cardot
31 papers receiving 430 citations
Peers
Comparison fields: 5 of 98
- Computer Vision and Pattern Recognition 207
- Biophysics 39
- Artificial Intelligence 213
- Signal Processing 58
- Media Technology 45
Countries citing papers authored by Hubert Cardot
This map shows the geographic impact of Hubert Cardot'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 Hubert Cardot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hubert Cardot more than expected).
Fields of papers citing papers by Hubert Cardot
This network shows the impact of papers produced by Hubert Cardot. 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 Hubert Cardot. The network helps show where Hubert Cardot may publish in the future.
Co-authors
The 21 scholars most cited alongside Hubert Cardot, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 109 | |
| 2 | 2002 | 92 | |
| 3 | 2011 | 44 | |
| 4 | 1994 | 27 | |
| 5 | 2006 | 20 | |
| 6 | 2008 | 19 | |
| 7 | 2003 | 18 | |
| 8 | 2001 | 15 | |
| 9 | 2008 | 12 | |
| 10 | 2002 | 12 | |
| 11 | 2011 | 12 | |
| 12 | 2003 | 9 | |
| 13 | 2019 | 9 | |
| 14 | A fast and efficient segmentation scheme for cell microscopic image. | 2007 | 9 |
| 15 | Hybrid color image segmentation using 2D histogram clustering and region merging | 2003 | 8 |
| 16 | 2007 | 7 | |
| 17 | Segmentation of color images from serous cytology for automated cell classification. | 2000 | 7 |
| 18 | 2003 | 7 | |
| 19 | 2004 | 6 | |
| 20 | 2003 | 5 |
About Hubert Cardot
Hubert Cardot is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Media Technology and Molecular Biology, having authored 31 papers that have together received 473 indexed citations. Recurring topics across this work include Neural Networks and Applications (11 papers), Medical Image Segmentation Techniques (8 papers), Image Retrieval and Classification Techniques (7 papers), Face and Expression Recognition (4 papers), AI in cancer detection (4 papers), Fuzzy Logic and Control Systems (3 papers), Time Series Analysis and Forecasting (3 papers) and Image and Object Detection Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (207 citations), Biophysics (39 citations), Artificial Intelligence (213 citations), Signal Processing (58 citations) and Media Technology (45 citations). Hubert Cardot has collaborated with scholars based in France, Luxembourg and United States. Frequent co-authors include Olivier Lézoray, Romuald Boné, Christophe Charrier, Marinette Revenu, Abderrahim Elmoataz, Bernard Victorri, Jean-Yves Ramel, Sébastien Lefèvre, Donatello Conte and Xavier Cortés. Their work appears in journals such as Neurocomputing, International Journal of Neural Systems, Neural Processing Letters, Machine Vision and Applications and IEEE Transactions on Image Processing.
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.