Laurent Condat

3.5k total citations · 2 hit papers
57 papers, 1.9k citations indexed

About

Laurent Condat is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Media Technology. According to data from OpenAlex, Laurent Condat has authored 57 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 28 papers in Computational Mechanics and 16 papers in Media Technology. Recurrent topics in Laurent Condat's work include Image and Signal Denoising Methods (25 papers), Sparse and Compressive Sensing Techniques (22 papers) and Advanced Image Fusion Techniques (10 papers). Laurent Condat is often cited by papers focused on Image and Signal Denoising Methods (25 papers), Sparse and Compressive Sensing Techniques (22 papers) and Advanced Image Fusion Techniques (10 papers). Laurent Condat collaborates with scholars based in France, Japan and Saudi Arabia. Laurent Condat's co-authors include Jocelyn Chanussot, Muhammad Murtaza Khan, Annick Montanvert, Akira Hirabayashi, Dimitri Van De Ville, Junshi Xia, José M. Bioucas‐Dias, Xiyan He, Nelly Pustelnik and Jean‐Christophe Pesquet and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing and Sensors.

In The Last Decade

Laurent Condat

56 papers receiving 1.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Primal–Dual Splitting Method for Convex Optimization Involving Lipschitzian, Proximable and Linear Composite Terms

2012 499 citations Laurent Condat Journal of Optimization Theory and Applications profile →
A Direct Algorithm for 1-D Total Variation Denoising

2013 226 citations Laurent Condat IEEE Signal Processing Letters profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Laurent Condat France	16	915	738	537	264	234	57	1.9k
Jérôme Darbon United States	18	1.1k 1.2×	1.0k 1.4×	242 0.5×	353 1.3×	151 0.6×	58	2.5k
Jinshan Zeng China	18	574 0.6×	608 0.8×	281 0.5×	142 0.5×	203 0.9×	72	1.7k
Jean–François Aujol France	26	1.9k 2.0×	736 1.0×	629 1.2×	178 0.7×	153 0.7×	81	2.4k
Sangwoon Yun South Korea	20	819 0.9×	1.1k 1.5×	175 0.3×	244 0.9×	174 0.7×	61	2.3k
Gabriele Steidl Germany	21	964 1.1×	707 1.0×	180 0.3×	185 0.7×	166 0.7×	85	1.9k
James G. Nagy United States	26	1.1k 1.2×	905 1.2×	351 0.7×	445 1.7×	368 1.6×	107	2.5k
Gerlind Plonka Germany	23	1.1k 1.2×	559 0.8×	318 0.6×	162 0.6×	136 0.6×	95	1.8k
Bradley J. Lucier United States	18	1.1k 1.2×	597 0.8×	322 0.6×	169 0.6×	111 0.5×	44	1.9k
Yifei Lou United States	25	994 1.1×	1.0k 1.4×	327 0.6×	587 2.2×	96 0.4×	80	2.2k
Raymond H. Chan Hong Kong	25	1.9k 2.1×	1.1k 1.5×	717 1.3×	284 1.1×	646 2.8×	75	3.5k

Countries citing papers authored by Laurent Condat

Since Specialization

Citations

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

Fields of papers citing papers by Laurent Condat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laurent Condat

This figure shows the co-authorship network connecting the top 25 collaborators of Laurent Condat. A scholar is included among the top collaborators of Laurent Condat 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 Laurent Condat. Laurent Condat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Kovalev, Dmitry, et al.. (2020). From Local SGD to Local Fixed Point Methods for Federated Learning. International Conference on Machine Learning. 1. 6692–6701. 24 indexed citations

Sieno, Laura Di, Davide Contini, Laurent Condat, et al.. (2020). Real-Time Dual-Wavelength Time-Resolved Diffuse Optical Tomography System for Functional Brain Imaging Based on Probe-Hosted Silicon Photomultipliers. Sensors. 20(10). 2815–2815. 7 indexed citations

Condat, Laurent, et al.. (2019). Proximal Splitting Algorithms: Overrelax them all!. arXiv (Cornell University). 5 indexed citations

Condat, Laurent, et al.. (2019). A Convex Approach to Superresolution and Regularization of Lines in Images. SIAM Journal on Imaging Sciences. 12(1). 211–258. 5 indexed citations

Iutzeler, Franck & Laurent Condat. (2018). Distributed Projection on the Simplex and $\ell _1$ Ball via ADMM and Gossip. IEEE Signal Processing Letters. 25(11). 1650–1654. 2 indexed citations

Boulanger, Jérôme, Nelly Pustelnik, Laurent Condat, Lucie Sengmanivong, & Tristan Piolot. (2018). Nonsmooth convex optimization for structured illumination microscopy image reconstruction. Inverse Problems. 34(9). 95004–95004. 13 indexed citations

Hirabayashi, Akira, et al.. (2016). Sequential image completion for high-speed large-pixel number sensing. 25. 948–952. 1 indexed citations

Condat, Laurent. (2015). Fast projection onto the simplex and the $$\pmb {l}_\mathbf {1}$$ l 1 ball. Mathematical Programming. 158(1-2). 575–585. 178 indexed citations

Condat, Laurent. (2013). Reconstruction from non-uniform samples: A direct, variational approach in shift-invariant spaces. Digital Signal Processing. 23(4). 1277–1287. 4 indexed citations

10.

Hirabayashi, Akira, et al.. (2013). Sampling Signals with Finite Rate of Innovation and Recovery by Maximum Likelihood Estimation. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. E96.A(10). 1972–1979. 5 indexed citations

11.

Condat, Laurent, et al.. (2013). Recovery of nonuniformdirac pulses from noisy linear measurements. 22. 6014–6018. 7 indexed citations

12.

Condat, Laurent. (2012). A Primal–Dual Splitting Method for Convex Optimization Involving Lipschitzian, Proximable and Linear Composite Terms. Journal of Optimization Theory and Applications. 158(2). 460–479. 499 indexed citations breakdown →

13.

Condat, Laurent. (2011). A New Color Filter Array With Optimal Properties for Noiseless and Noisy Color Image Acquisition. IEEE Transactions on Image Processing. 20(8). 2200–2210. 28 indexed citations

14.

Condat, Laurent. (2011). A generic first-order primal-dual method for convex optimization involving Lipschitzian, proximable and linear composite terms. 7 indexed citations

15.

Möller, Torsten, et al.. (2010). Gradient Estimation Revitalized. IEEE Transactions on Visualization and Computer Graphics. 16(6). 1495–1504. 12 indexed citations

16.

Condat, Laurent. (2009). Color filter array design using random patterns with blue noise chromatic spectra. Image and Vision Computing. 28(8). 1196–1202. 15 indexed citations

17.

Condat, Laurent, Dimitri Van De Ville, & Brigitte Forster. (2008). Reversible, Fast, and High-Quality Grid Conversions. IEEE Transactions on Image Processing. 17(5). 679–693. 12 indexed citations

18.

Condat, Laurent & Dimitri Van De Ville. (2007). Quasi-Interpolating Spline Models for Hexagonally-Sampled Data. IEEE Transactions on Image Processing. 16(5). 1195–1206. 31 indexed citations

19.

Condat, Laurent & Dimitri Van De Ville. (2006). Three-directional box-splines: characterization and efficient evaluation. IEEE Signal Processing Letters. 13(7). 417–420. 17 indexed citations

20.

Condat, Laurent, et al.. (2005). Hexagonal versus orthogonal lattices: A new comparison using approximation theory. HAL (Le Centre pour la Communication Scientifique Directe). 2 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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