Hubert Cardot

1.1k total citations
31 papers, 473 citations indexed

About

Hubert Cardot is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Hubert Cardot has authored 31 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 4 papers in Signal Processing. Recurrent topics in Hubert Cardot's work include Neural Networks and Applications (11 papers), Medical Image Segmentation Techniques (8 papers) and Image Retrieval and Classification Techniques (7 papers). Hubert Cardot is often cited by papers focused on Neural Networks and Applications (11 papers), Medical Image Segmentation Techniques (8 papers) and Image Retrieval and Classification Techniques (7 papers). Hubert Cardot collaborates with scholars based in France, Luxembourg and United States. Hubert Cardot's 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 and has published in prestigious journals such as IEEE Transactions on Image Processing, Neurocomputing and Pattern Recognition Letters.

In The Last Decade

Hubert Cardot

31 papers receiving 430 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hubert Cardot France 11 217 210 62 58 54 31 473
Milan Parmar China 9 183 0.8× 147 0.7× 55 0.9× 36 0.6× 40 0.7× 15 491
Chuin-Mu Wang Taiwan 11 162 0.7× 174 0.8× 55 0.9× 45 0.8× 84 1.6× 41 510
Shyr-Shen Yu Taiwan 13 326 1.5× 280 1.3× 30 0.5× 44 0.8× 10 0.2× 79 715
A. Vasuki India 8 142 0.7× 196 0.9× 51 0.8× 29 0.5× 20 0.4× 35 437
Amin Shoukry Egypt 12 154 0.7× 217 1.0× 33 0.5× 29 0.5× 23 0.4× 42 425
Saeed Masoudnia Iran 7 216 1.0× 129 0.6× 37 0.6× 36 0.6× 58 1.1× 19 444
Mengshu Hou China 14 178 0.8× 115 0.5× 116 1.9× 45 0.8× 15 0.3× 80 653
Zhiming Cui China 12 167 0.8× 287 1.4× 24 0.4× 28 0.5× 30 0.6× 69 560
Angelos Chatzimparmpas Sweden 8 229 1.1× 205 1.0× 28 0.5× 35 0.6× 13 0.2× 21 495

Countries citing papers authored by Hubert Cardot

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Hubert Cardot

This figure shows the co-authorship network connecting the top 25 collaborators of Hubert Cardot. A scholar is included among the top collaborators of Hubert Cardot based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hubert Cardot. Hubert Cardot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cortés, Xavier, Donatello Conte, & Hubert Cardot. (2019). Learning edit cost estimation models for graph edit distance. Pattern Recognition Letters. 125. 256–263. 9 indexed citations
2.
Cardot, Hubert. (2011). Recurrent Neural Networks for Temporal Data Processing. InTech eBooks. 12 indexed citations
3.
Cardot, Hubert, et al.. (2011). SOM time series clustering and prediction with recurrent neural networks. Neurocomputing. 74(11). 1936–1944. 44 indexed citations
4.
Charrier, Christophe, et al.. (2008). TABU SEARCH MODEL SELECTION FOR SVM. International Journal of Neural Systems. 18(1). 19–31. 12 indexed citations
5.
Lézoray, Olivier, Christophe Charrier, Hubert Cardot, & Sébastien Lefèvre. (2008). Machine Learning in Image Processing. EURASIP Journal on Advances in Signal Processing. 2008(1). 19 indexed citations
6.
7.
Boné, Romuald, et al.. (2006). Predicting Chaotic Time Series by Boosted Recurrent Neural Networks. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
8.
Brouard, Thierry, et al.. (2006). Two evolutionary methods for learning Bayesian network structures. 3. 137–142. 1 indexed citations
9.
Mille, Julien, et al.. (2006). Greedy Algorithm and Physics-Based Method for Active Contours and Surfaces: A Comparative Study. 1645–1648. 4 indexed citations
10.
Ramel, Jean-Yves, et al.. (2006). Fusion of Methods for Keystroke Dynamic Authentication. 224–229. 20 indexed citations
11.
Charrier, Christophe, et al.. (2004). SVM training time reduction using vector quantization. Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.. 2. 160–163 Vol.1. 6 indexed citations
12.
Lézoray, Olivier & Hubert Cardot. (2003). Bayesian marker extraction for color watershed in segmenting microscopic images. 1. 739–742. 9 indexed citations
13.
Lézoray, Olivier, Dominique Fournier, & Hubert Cardot. (2003). Neural network induction graph for pattern recognition. Neurocomputing. 57. 257–274. 5 indexed citations
14.
Lézoray, Olivier & Hubert Cardot. (2002). Histogram and Watershed Based Segmentation of Color Images. Conference on Colour in Graphics Imaging and Vision. 1(1). 358–362. 12 indexed citations
15.
Lézoray, Olivier & Hubert Cardot. (2002). Cooperation of color pixel classification schemes and color watershed: a study for microscopic images. IEEE Transactions on Image Processing. 11(7). 783–789. 92 indexed citations
16.
Lézoray, Olivier & Hubert Cardot. (2001). A neural network architecture for data classification. International Journal of Neural Systems. 11(1). 33–42. 15 indexed citations
17.
Lézoray, Olivier, Abderrahim Elmoataz, Hubert Cardot, & Marinette Revenu. (2000). Segmentation d'images couleur : applications en microscopie cellulaire. 17(1). 33–45. 3 indexed citations
18.
Lézoray, Olivier, et al.. (2000). Segmentation of color images from serous cytology for automated cell classification.. PubMed. 22(4). 311–22. 7 indexed citations
19.
Boudry, Christophe, Paulette Herlin, Benoît Plancoulaine, et al.. (1999). Automatic Morphological Sieving: Comparison between Different Methods, Application to DNA Ploidy Measurements. Analytical Cellular Pathology. 18(4). 203–210. 1 indexed citations
20.
Revenu, Marinette, et al.. (1993). <title>Automatic system for the classification of cellular categories in cytological images</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2055. 32–43. 3 indexed citations

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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