Laurent Duval

1.7k total citations
72 papers, 1.2k citations indexed

About

Laurent Duval is a scholar working on Computer Vision and Pattern Recognition, Geophysics and Computational Mechanics. According to data from OpenAlex, Laurent Duval has authored 72 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Vision and Pattern Recognition, 22 papers in Geophysics and 15 papers in Computational Mechanics. Recurrent topics in Laurent Duval's work include Image and Signal Denoising Methods (34 papers), Seismic Imaging and Inversion Techniques (22 papers) and Sparse and Compressive Sensing Techniques (12 papers). Laurent Duval is often cited by papers focused on Image and Signal Denoising Methods (34 papers), Seismic Imaging and Inversion Techniques (22 papers) and Sparse and Compressive Sensing Techniques (12 papers). Laurent Duval collaborates with scholars based in France, United States and Japan. Laurent Duval's co-authors include Jean‐Christophe Pesquet, Caroline Chaux, Ivan Selesnick, Fabrice Bertoncini, Didier Thiébaut, Colombe Vendeuvre, Marie‐Claire Hennion, Jean-Marc Zaccardi, Antoine Pagot and Émilie Chouzenoux and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Information Theory and IEEE Transactions on Image Processing.

In The Last Decade

Laurent Duval

66 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laurent Duval France 17 338 273 231 230 202 72 1.2k
Daniel Sbárbaro Chile 24 55 0.2× 210 0.8× 40 0.2× 156 0.7× 205 1.0× 177 3.6k
E.L. Dagless United Kingdom 11 199 0.6× 238 0.9× 49 0.2× 111 0.5× 61 0.3× 52 1.2k
Saïd Moussaoui France 18 97 0.3× 101 0.4× 58 0.3× 87 0.4× 214 1.1× 73 985
Yinghua Lu China 19 389 1.2× 164 0.6× 23 0.1× 157 0.7× 48 0.2× 154 1.3k
Jindong Li China 20 47 0.1× 157 0.6× 62 0.3× 286 1.2× 44 0.2× 123 1.5k
Mahmoud Meribout United Arab Emirates 24 115 0.3× 440 1.6× 69 0.3× 53 0.2× 130 0.6× 103 1.5k
Yannick Deville France 18 177 0.5× 45 0.2× 50 0.2× 186 0.8× 309 1.5× 152 1.5k
Behzad Kamgar-Parsi United States 15 177 0.5× 293 1.1× 15 0.1× 75 0.3× 15 0.1× 39 1.0k
B. Mathieu France 18 132 0.4× 185 0.7× 33 0.1× 144 0.6× 12 0.1× 47 2.8k
Peter D. Wentzell Canada 30 62 0.2× 619 2.3× 423 1.8× 45 0.2× 1.3k 6.6× 103 2.7k

Countries citing papers authored by Laurent Duval

Since Specialization
Citations

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

Fields of papers citing papers by Laurent Duval

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laurent Duval

This figure shows the co-authorship network connecting the top 25 collaborators of Laurent Duval. A scholar is included among the top collaborators of Laurent Duval 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 Duval. Laurent Duval 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.
Ker, Stéphan, et al.. (2024). Revisiting the OBS seafloor compliance signal removal with a stationarity and stacking-based approach: the BRUIT-FM toolbox. Geophysical Journal International. 239(1). 386–401.
2.
Villa, Silvia, et al.. (2024). Unrolled Deep Networks for Sparse Signal Restoration in Analytical Chemistry. SPIRE - Sciences Po Institutional REpository. 1–6.
3.
Duval, Laurent, et al.. (2023). Dual-sPLS: une famille de régressions par PLS (moindres carrés partiels) duale parcimonieuse pour la sélection d'attributs et la prédiction, avec parcimonie accordable ; évaluation sur des données simulées et en proche infrarouge (PIR). HAL (Le Centre pour la Communication Scientifique Directe). 6 indexed citations
4.
Chouzenoux, Émilie, et al.. (2023). PENDANTSS: PEnalized Norm-Ratios Disentangling Additive Noise, Trend and Sparse Spikes. IEEE Signal Processing Letters. 30. 215–219. 1 indexed citations
5.
Bidard, Frédérique, et al.. (2022). BRANEnet: embedding multilayer networks for omics data integration. BMC Bioinformatics. 23(1). 429–429. 7 indexed citations
6.
7.
Castella, Marc, et al.. (2020). Sparse signal reconstruction for nonlinear models via piecewise rational optimization. Signal Processing. 179. 107835–107835. 6 indexed citations
8.
Chouzenoux, Émilie, et al.. (2018). A review on graph optimization and algorithmic frameworks. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
9.
Couprie, Camille, et al.. (2017). BARCHAN: Blob Alignment for Robust CHromatographic ANalysis. Journal of Chromatography A. 1484. 65–72. 11 indexed citations
10.
Duval, Laurent, Sergey Fomel, Mostafa Naghizadeh, & Mauricio D. Sacchi. (2015). Taking signal and noise to new dimensions — Introduction. Geophysics. 80(6). WDi–WDii.
11.
Couprie, Camille, et al.. (2015). BRANE Cut: biologically-related a priori network enhancement with graph cuts for gene regulatory network inference. BMC Bioinformatics. 16(1). 368–368. 12 indexed citations
12.
Duval, Laurent, et al.. (2014). Context-based polynomial extrapolation and slackened synchronization for fast multi-core simulation using FMI. Linköping electronic conference proceedings. 96. 225–234. 4 indexed citations
13.
Chaux, Caroline, et al.. (2013). Seismic multiple removal with a Primal-Dual proximal algorithm. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
14.
Chaux, Caroline, et al.. (2013). Seismic multiple removal with a primal-dual proximal algorithm. 93. 2257–2261. 1 indexed citations
15.
Ventosa, Sergi, et al.. (2011). Coherent noise removal in seismic data with redundant multiscale directional filters. European Signal Processing Conference. 1150–1154. 2 indexed citations
16.
Sivan, Olivier, et al.. (2009). L’aqueduc de la Font Vieille à Antibes à la lumière des travaux du XVIIIe siècle et des fouilles récentes. Revue archéologique de Narbonnaise. 42(1). 11–24.
17.
Chaux, Caroline, Laurent Duval, Amel Benazza‐Benyahia, & Jean‐Christophe Pesquet. (2006). A New Estimator for Image Denoising Using a 2D Dual-Tree M-Band Wavelet Decomposition. HAL (Le Centre pour la Communication Scientifique Directe). 3. III–249.
18.
Chaux, Caroline, Laurent Duval, & Jean‐Christophe Pesquet. (2006). Image analysis using a dual-tree M-band wavelet transform. IEEE Transactions on Image Processing. 15(8). 2397–2412. 92 indexed citations
19.
20.
Duval, Laurent, Truong Q. Nguyen, & Trac D. Tran. (1999). Seismic Data Compression and QC Using Genlot. 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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