Julien Fageot

445 total citations
32 papers, 178 citations indexed

About

Julien Fageot is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition and Mathematical Physics. According to data from OpenAlex, Julien Fageot has authored 32 papers receiving a total of 178 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computational Mechanics, 12 papers in Computer Vision and Pattern Recognition and 7 papers in Mathematical Physics. Recurrent topics in Julien Fageot's work include Sparse and Compressive Sensing Techniques (14 papers), Image and Signal Denoising Methods (9 papers) and Photoacoustic and Ultrasonic Imaging (6 papers). Julien Fageot is often cited by papers focused on Sparse and Compressive Sensing Techniques (14 papers), Image and Signal Denoising Methods (9 papers) and Photoacoustic and Ultrasonic Imaging (6 papers). Julien Fageot collaborates with scholars based in Switzerland, France and United States. Julien Fageot's co-authors include Michaël Unser, Harshit Gupta, Virginie Uhlmann, Emrah Bostan, Arash Amini, Alireza Fallah, John Paul Ward, Adrien Depeursinge, Xavier Montet and Zsuzsanna Püspöki and has published in prestigious journals such as Bioinformatics, Scientific Reports and IEEE Transactions on Information Theory.

In The Last Decade

Julien Fageot

31 papers receiving 173 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julien Fageot Switzerland 7 91 61 43 34 26 32 178
Christiane Pöschl Austria 5 122 1.3× 37 0.6× 195 4.5× 63 1.9× 33 1.3× 6 236
Andrew Thompson United Kingdom 8 118 1.3× 35 0.6× 10 0.2× 52 1.5× 11 0.4× 29 209
Samuel Vaiter France 7 144 1.6× 69 1.1× 56 1.3× 42 1.2× 8 0.3× 18 207
Claire Boyer France 7 128 1.4× 37 0.6× 30 0.7× 56 1.6× 15 0.6× 17 211
Georges Koepfler France 5 43 0.5× 213 3.5× 22 0.5× 9 0.3× 12 0.5× 11 270
Stefania Petra Germany 8 102 1.1× 49 0.8× 20 0.5× 32 0.9× 5 0.2× 26 186
Arne Kovac United Kingdom 7 48 0.5× 143 2.3× 19 0.4× 9 0.3× 55 2.1× 8 261
Françoise Dibos France 6 45 0.5× 205 3.4× 16 0.4× 27 0.8× 11 0.4× 12 258
Torsten Hein Germany 10 118 1.3× 17 0.3× 238 5.5× 90 2.6× 55 2.1× 16 295
Nicolas Papadakis France 5 31 0.3× 65 1.1× 17 0.4× 3 0.1× 47 1.8× 8 214

Countries citing papers authored by Julien Fageot

Since Specialization
Citations

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

Fields of papers citing papers by Julien Fageot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julien Fageot

This figure shows the co-authorship network connecting the top 25 collaborators of Julien Fageot. A scholar is included among the top collaborators of Julien Fageot 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 Julien Fageot. Julien Fageot 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.
Abler, Daniel, Vincent Andrearczyk, Julien Fageot, et al.. (2024). Comparing various AI approaches to traditional quantitative assessment of the myocardial perfusion in [82Rb] PET for MACE prediction. Scientific Reports. 14(1). 9644–9644. 2 indexed citations
2.
Fageot, Julien, et al.. (2024). Breast reconstruction through exclusive lipomodeling or in addition to a flap: Current status in Franche-Comté. Annales de Chirurgie Plastique Esthétique. 69(5). 410–418. 3 indexed citations
3.
Hurley, Paul K., et al.. (2024). PolyCLEAN: Atomic optimization for super-resolution imaging and uncertainty estimation in radio interferometry. Astronomy and Astrophysics. 693. A225–A225. 1 indexed citations
4.
Fageot, Julien, et al.. (2024). Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons. Proceedings of the AAAI Conference on Artificial Intelligence. 38(18). 20379–20386. 1 indexed citations
5.
Fageot, Julien, et al.. (2022). A Fast and Scalable Polyatomic Frank-Wolfe Algorithm for the LASSO. IEEE Signal Processing Letters. 29. 637–641. 6 indexed citations
6.
Fageot, Julien, Virginie Uhlmann, Zsuzsanna Püspöki, et al.. (2021). Principled Design and Implementation of Steerable Detectors. SERVAL (Université de Lausanne). 3 indexed citations
7.
Unser, Michaël, et al.. (2021). Sparsest piecewise-linear regression of one-dimensional data. Journal of Computational and Applied Mathematics. 406. 114044–114044. 8 indexed citations
8.
Fageot, Julien, et al.. (2021). Extensor digitorum brevis muscle flap for lower extremity coverage in a context of posttraumatic sepsis. Orthopaedics & Traumatology Surgery & Research. 107(4). 102901–102901. 2 indexed citations
9.
Fageot, Julien, et al.. (2020). Wavelet analysis of the Besov regularity of Lévy white noise. Electronic Journal of Probability. 25(none). 6 indexed citations
10.
Fageot, Julien, et al.. (2019). B-Spline-Based Exact Discretization of Continuous-Domain Inverse Problems With Generalized TV Regularization. IEEE Transactions on Information Theory. 65(7). 4457–4470. 16 indexed citations
11.
Andrearczyk, Vincent, Julien Fageot, Valentin Oreiller, Xavier Montet, & Adrien Depeursinge. (2018). Exploring local rotation invariance in 3D CNNs with steerable filters. ArODES (HES-SO (https://www.hes-so.ch/)). 15–26. 4 indexed citations
12.
Fageot, Julien, Virginie Uhlmann, & Michaël Unser. (2018). Gaussian and sparse processes are limits of generalized Poisson processes. Applied and Computational Harmonic Analysis. 48(3). 1045–1065. 4 indexed citations
13.
Fageot, Julien & Michaël Unser. (2018). Scaling Limits of Solutions of Linear Stochastic Differential Equations Driven by Lévy White Noises. Journal of Theoretical Probability. 32(3). 1166–1189. 2 indexed citations
14.
Fageot, Julien, Alireza Fallah, & Michaël Unser. (2016). Multidimensional Lévy white noise in weighted Besov spaces. Stochastic Processes and their Applications. 127(5). 1599–1621. 8 indexed citations
15.
Uhlmann, Virginie, Julien Fageot, & Michaël Unser. (2016). Hermite Snakes With Control of Tangents. IEEE Transactions on Image Processing. 25(6). 2803–2816. 14 indexed citations
16.
Unser, Michaël, Julien Fageot, & Harshit Gupta. (2016). Representer Theorems for Sparsity-Promoting <inline-formula> <tex-math notation="LaTeX">$\ell _{1}$ </tex-math> </inline-formula> Regularization. IEEE Transactions on Information Theory. 62(9). 5167–5180. 23 indexed citations
17.
Fageot, Julien, John Paul Ward, & Michaël Unser. (2015). Interpretation of continuous-time autoregressive processes as random exponential splines. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 231–235. 2 indexed citations
18.
Uhlmann, Virginie, Julien Fageot, Harshit Gupta, & Michaël Unser. (2015). Statistical optimality of Hermite splines. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 226–230. 2 indexed citations
19.
Fageot, Julien, Emrah Bostan, & Michaël Unser. (2014). Statistics of wavelet coefficients for sparse self-similar images. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 59. 6096–6100. 2 indexed citations
20.
Bostan, Emrah, Julien Fageot, Ulugbek S. Kamilov, & Michaël Unser. (2013). Map Estimators For Self-Similar Sparse Stochastic Models. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 197–199. 4 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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