J.-C. Pesquet

514 total citations
24 papers, 292 citations indexed

About

J.-C. Pesquet is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Applied Mathematics. According to data from OpenAlex, J.-C. Pesquet has authored 24 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 10 papers in Signal Processing and 5 papers in Applied Mathematics. Recurrent topics in J.-C. Pesquet's work include Image and Signal Denoising Methods (17 papers), Advanced Data Compression Techniques (9 papers) and Digital Filter Design and Implementation (6 papers). J.-C. Pesquet is often cited by papers focused on Image and Signal Denoising Methods (17 papers), Advanced Data Compression Techniques (9 papers) and Digital Filter Design and Implementation (6 papers). J.-C. Pesquet collaborates with scholars based in France, Tunisia and United States. J.-C. Pesquet's co-authors include Patrick L. Combettes, Amel Benazza‐Benyahia, Béatrice Pesquet‐Popescu, Luis M. Briceño-Arias, Nelly Pustelnik, Mounir Kaaniche, Michel Parent, Athina P. Petropulu, Ioannis Dologlou and Hamid Krim and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Signal Processing.

In The Last Decade

J.-C. Pesquet

22 papers receiving 270 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J.-C. Pesquet France 10 224 69 65 64 23 24 292
François Malgouyres France 11 406 1.8× 117 1.7× 171 2.6× 11 0.2× 22 1.0× 34 472
Aissam Hadri Morocco 13 296 1.3× 114 1.7× 78 1.2× 13 0.2× 47 2.0× 52 398
Fure-Ching Jeng United States 7 216 1.0× 65 0.9× 41 0.6× 55 0.9× 5 0.2× 13 290
Abdeslam Hmimid Morocco 15 472 2.1× 106 1.5× 41 0.6× 57 0.9× 5 0.2× 22 514
M.K. Mihcak United States 10 677 3.0× 25 0.4× 51 0.8× 130 2.0× 18 0.8× 20 758
A.-R. Mansouri Canada 10 366 1.6× 54 0.8× 37 0.6× 7 0.1× 7 0.3× 25 404
D. Esteban United States 6 245 1.1× 26 0.4× 107 1.6× 254 4.0× 12 0.5× 16 338
Samuel Vaiter France 7 69 0.3× 6 0.1× 144 2.2× 23 0.4× 21 0.9× 18 207

Countries citing papers authored by J.-C. Pesquet

Since Specialization
Citations

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

Fields of papers citing papers by J.-C. Pesquet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J.-C. Pesquet

This figure shows the co-authorship network connecting the top 25 collaborators of J.-C. Pesquet. A scholar is included among the top collaborators of J.-C. Pesquet 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 J.-C. Pesquet. J.-C. Pesquet 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.
Kaaniche, Mounir, et al.. (2021). A Neural Network Approach For Joint Optimization Of Predictors In Lifting-Based Image Coders. HAL (Le Centre pour la Communication Scientifique Directe). 3747–3751. 3 indexed citations
2.
Chaux, Caroline, et al.. (2012). A Parallel Proximal Splitting Method for Disparity Estimation from Multicomponent Images Under Illumination Variation. Journal of Mathematical Imaging and Vision. 47(3). 167–178. 6 indexed citations
3.
Kaaniche, Mounir, et al.. (2011). Non-separable lifting scheme with adaptive update step for still and stereo image coding. Signal Processing. 91(12). 2767–2782. 12 indexed citations
4.
Briceño-Arias, Luis M., Patrick L. Combettes, J.-C. Pesquet, & Nelly Pustelnik. (2010). Proximal Algorithms for Multicomponent Image Recovery Problems. Journal of Mathematical Imaging and Vision. 41(1-2). 3–22. 39 indexed citations
5.
Pesquet, J.-C., et al.. (2009). A Convex Optimization Approach for Depth Estimation Under Illumination Variation. IEEE Transactions on Image Processing. 18(4). 813–830. 28 indexed citations
6.
Kaaniche, Mounir, Amel Benazza‐Benyahia, Béatrice Pesquet‐Popescu, & J.-C. Pesquet. (2009). Vector Lifting Schemes for Stereo Image Coding. IEEE Transactions on Image Processing. 18(11). 2463–2475. 23 indexed citations
7.
Chaâri, Lotfi, et al.. (2008). Autocalibrated regularized parallel mri reconstruction in the wavelet domain. 756–759. 8 indexed citations
8.
Pesquet, J.-C., et al.. (2006). Comparison of Redundant Wavelet Schemes for Multiple Description Coding of Video Sequences. 5. 913–916. 5 indexed citations
9.
Benazza‐Benyahia, Amel, et al.. (2004). Adapted vector-lifting schemes for multiband textured image coding. 3. 1833–1835. 1 indexed citations
10.
Benazza‐Benyahia, Amel, J.-C. Pesquet, & Hamid Krim. (2003). A nonlinear diffusion-based three-band filter bank. IEEE Signal Processing Letters. 10(12). 360–363. 6 indexed citations
11.
Benazza‐Benyahia, Amel, et al.. (2002). Lossless coding for progressive archival of multispectral images. 3. 1817–1820. 3 indexed citations
12.
Pesquet, J.-C., et al.. (2002). A nonlinear subband decomposition with perfect reconstruction. 3. 1523–1526. 26 indexed citations
13.
Pesquet, J.-C., et al.. (2002). Segmentation of infant respiratory sounds with Malvar's wavelets. A20–A21.
14.
Pesquet‐Popescu, Béatrice, J.-C. Pesquet, & Athina P. Petropulu. (2002). Joint singular value decomposition - a new tool for separable representation of images. 2. 569–572. 17 indexed citations
15.
Pesquet, J.-C., et al.. (2001). Bayesian wavelet denoising: Besov priors and non-Gaussian noises. Signal Processing. 81(1). 55–67. 31 indexed citations
16.
Benazza‐Benyahia, Amel, J.-C. Pesquet, & A. Amara. (2000). Nonlinear Bank Filters Adapted For Progressive And Exact Image Reconstruction. Zenodo (CERN European Organization for Nuclear Research). 1–4. 1 indexed citations
17.
Combettes, Patrick L. & J.-C. Pesquet. (1998). Convex multiresolution analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence. 20(12). 1308–1318. 11 indexed citations
18.
Pesquet, J.-C., et al.. (1998). M-band nonlinear subband decompositions with perfect reconstruction. IEEE Transactions on Image Processing. 7(11). 1547–1560. 50 indexed citations
19.
Dologlou, Ioannis, et al.. (1996). Projection-based rank reduction algorithms for multichannel modelling and image compression. Signal Processing. 48(2). 97–109. 13 indexed citations
20.
Pesquet, J.-C. & Georgios Tziritas. (1988). Adaptive Methods Applied To Intra And Interframe Predictive Coding. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1001. 424–424. 1 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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