Emmanuel Soubies

610 total citations
30 papers, 368 citations indexed

About

Emmanuel Soubies is a scholar working on Computational Mechanics, Biomedical Engineering and Biophysics. According to data from OpenAlex, Emmanuel Soubies has authored 30 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computational Mechanics, 12 papers in Biomedical Engineering and 11 papers in Biophysics. Recurrent topics in Emmanuel Soubies's work include Sparse and Compressive Sensing Techniques (12 papers), Advanced Fluorescence Microscopy Techniques (10 papers) and Photoacoustic and Ultrasonic Imaging (7 papers). Emmanuel Soubies is often cited by papers focused on Sparse and Compressive Sensing Techniques (12 papers), Advanced Fluorescence Microscopy Techniques (10 papers) and Photoacoustic and Ultrasonic Imaging (7 papers). Emmanuel Soubies collaborates with scholars based in France, Switzerland and Singapore. Emmanuel Soubies's co-authors include Laure Blanc‐Féraud, Gilles Aubert, Michaël Unser, Vincent Duval, Gabriel Peyré, Thanh-an Pham, Demetri Psaltis, Joowon Lim, Ferréol Soulez and Laure Blanc-Féraud and has published in prestigious journals such as Scientific Reports, Optics Express and Optics Communications.

In The Last Decade

Emmanuel Soubies

27 papers receiving 356 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emmanuel Soubies France 9 180 132 81 75 72 30 368
Clarice Poon United Kingdom 10 273 1.5× 224 1.7× 21 0.3× 159 2.1× 32 0.4× 20 717
Matthias J. Ehrhardt United Kingdom 14 184 1.0× 173 1.3× 11 0.1× 132 1.8× 32 0.4× 46 719
Stamatios Lefkimmiatis Switzerland 11 260 1.4× 174 1.3× 61 0.8× 410 5.5× 34 0.5× 27 693
Ajil Jalal United States 5 148 0.8× 114 0.9× 17 0.2× 153 2.0× 36 0.5× 13 448
Triet Le United States 9 176 1.0× 71 0.5× 28 0.3× 463 6.2× 14 0.2× 17 636
S. Ramani Switzerland 7 348 1.9× 239 1.8× 14 0.2× 274 3.7× 38 0.5× 10 785
Chengda Yang United States 3 283 1.6× 96 0.7× 12 0.1× 413 5.5× 20 0.3× 3 671
Ali Ahmed Pakistan 7 202 1.1× 76 0.6× 9 0.1× 101 1.3× 13 0.2× 23 331
A.H. Delaney United States 5 89 0.5× 143 1.1× 9 0.1× 122 1.6× 18 0.3× 8 354
Shuyang Ling United States 11 242 1.3× 76 0.6× 5 0.1× 83 1.1× 15 0.2× 16 379

Countries citing papers authored by Emmanuel Soubies

Since Specialization
Citations

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

Fields of papers citing papers by Emmanuel Soubies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emmanuel Soubies

This figure shows the co-authorship network connecting the top 25 collaborators of Emmanuel Soubies. A scholar is included among the top collaborators of Emmanuel Soubies 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 Emmanuel Soubies. Emmanuel Soubies 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.
Soubies, Emmanuel, et al.. (2025). Learning Weighted Least Squares Data Term for Poisson Image Deconvolution. SPIRE - Sciences Po Institutional REpository. 1–5. 1 indexed citations
2.
Calatroni, Luca, et al.. (2025). Exact continuous relaxations of $$\ell _0$$-regularized criteria with non-quadratic data terms. Journal of Global Optimization. 93(3). 651–699.
3.
Soubies, Emmanuel, et al.. (2024). Surpassing light inhomogeneities in structured‐illumination microscopy with FlexSIM. Journal of Microscopy. 296(1). 94–106. 2 indexed citations
4.
Soubies, Emmanuel, et al.. (2024). Automatic Tuning of Denoising Algorithms Parameters Without Ground Truth. IEEE Signal Processing Letters. 31. 381–385. 3 indexed citations
5.
Calatroni, Luca, et al.. (2024). On $\ell_{0}$ Bregman-Relaxations for Kullback-Leibler Sparse Regression. SPIRE - Sciences Po Institutional REpository. 1–6. 1 indexed citations
6.
Aujol, Jean–François, et al.. (2024). Estimation of off-the grid sparse spikes with over-parametrized projected gradient descent: theory and application. Inverse Problems. 40(5). 55010–55010. 1 indexed citations
7.
Soubies, Emmanuel, et al.. (2023). The MLE is a reliable source: sharp performance guarantees for localization problems. Inverse Problems. 40(1). 14001–14001.
8.
Chaux, Caroline, et al.. (2023). Deep Unrolling for Nonconvex Robust Principal Component Analysis. HAL (Le Centre pour la Communication Scientifique Directe). 1–6. 3 indexed citations
9.
Pham, Thanh-an, Emmanuel Soubies, Ferréol Soulez, & Michaël Unser. (2021). Diffraction Tomography From Single-Molecule Localization Microscopy: Numerical Feasibility. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 854–857. 1 indexed citations
10.
Pham, Thanh-an, Emmanuel Soubies, Ferréol Soulez, & Michaël Unser. (2021). Optical diffraction tomography from single-molecule localization microscopy. Optics Communications. 499. 127290–127290. 2 indexed citations
11.
Pham, Thanh-an, et al.. (2020). Adaptive Regularization for Three-Dimensional Optical Diffraction Tomography. HAL (Le Centre pour la Communication Scientifique Directe). 182–186. 4 indexed citations
12.
Pham, Thanh-an, et al.. (2019). Three-Dimensional Optical Diffraction Tomography with Lippmann-Schwinger\n Model. arXiv (Cornell University). 43 indexed citations
13.
Donati, Laurène, Emmanuel Soubies, & Michaël Unser. (2019). Inner-Loop-Free Admm For Cryo-Em. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2017. 307–311. 4 indexed citations
14.
Soubies, Emmanuel, Agata Radwańska, Dominique Grall, et al.. (2019). Nanometric axial resolution of fibronectin assembly units achieved with an efficient reconstruction approach for multi-angle-TIRF microscopy. Scientific Reports. 9(1). 1926–1926. 6 indexed citations
15.
Soubies, Emmanuel, Laure Blanc‐Féraud, & Gilles Aubert. (2019). New Insights on the Optimality Conditions of the $$\ell _2-\ell _0$$ Minimization Problem. Journal of Mathematical Imaging and Vision. 62(6-7). 808–824. 9 indexed citations
16.
Soubies, Emmanuel, Laure Blanc-Féraud, Sébastien Schaub, & Ellen Van Obberghen‐Schilling. (2019). Improving 3D MA-TIRF Reconstruction with Deconvolution and Background Estimation. HAL (Le Centre pour la Communication Scientifique Directe). 111. 316–320. 1 indexed citations
17.
Duval, Vincent, et al.. (2018). The Sliding Frank-Wolfe Algorithm and its Application to\n Super-Resolution Microscopy. arXiv (Cornell University). 58 indexed citations
18.
Soubies, Emmanuel, Laure Blanc‐Féraud, & Gilles Aubert. (2017). A Unified View of Exact Continuous Penalties for $\ell_2$-$\ell_0$ Minimization. SIAM Journal on Optimization. 27(3). 2034–2060. 36 indexed citations
19.
Gazagnes, Simon, Emmanuel Soubies, & Laure Blanc-Féraud. (2017). High density molecule localization for super-resolution microscopy using CEL0 based sparse approximation. HAL (Le Centre pour la Communication Scientifique Directe). 28–31. 20 indexed citations
20.
Prigent, Sylvain, et al.. (2015). Cells detection using segmentation competition. HAL (Le Centre pour la Communication Scientifique Directe). 3. 1208–1211. 6 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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