Franck Iutzeler

973 total citations
23 papers, 300 citations indexed

About

Franck Iutzeler is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Franck Iutzeler has authored 23 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 9 papers in Artificial Intelligence and 7 papers in Computational Mechanics. Recurrent topics in Franck Iutzeler's work include Distributed Control Multi-Agent Systems (10 papers), Sparse and Compressive Sensing Techniques (7 papers) and Stochastic Gradient Optimization Techniques (7 papers). Franck Iutzeler is often cited by papers focused on Distributed Control Multi-Agent Systems (10 papers), Sparse and Compressive Sensing Techniques (7 papers) and Stochastic Gradient Optimization Techniques (7 papers). Franck Iutzeler collaborates with scholars based in France, United States and Saudi Arabia. Franck Iutzeler's co-authors include Walid Hachem, Philippe Ciblat, Pascal Bianchi, Jérémie Jakubowicz, Julien M. Hendrickx, Jérôme Malick, Houria Siguerdidjane, Dmitry Grishchenko, Romain Couillet and Mérouane Debbah and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Signal Processing and Mathematical Programming.

In The Last Decade

Franck Iutzeler

20 papers receiving 288 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Franck Iutzeler France 8 180 74 71 67 54 23 300
Diego Feijer Uruguay 3 203 1.1× 47 0.6× 53 0.7× 51 0.8× 81 1.5× 3 335
Rentsen Enkhbat Mongolia 8 59 0.3× 30 0.4× 23 0.3× 64 1.0× 65 1.2× 48 244
Neil K. Dhingra United States 9 91 0.5× 68 0.9× 48 0.7× 45 0.7× 28 0.5× 15 245
Ashwin Pananjady United States 8 69 0.4× 45 0.6× 99 1.4× 47 0.7× 51 0.9× 28 256
Olivier Devolder Belgium 5 39 0.2× 143 1.9× 148 2.1× 41 0.6× 55 1.0× 5 292
Zheng Qu Hong Kong 9 34 0.2× 88 1.2× 135 1.9× 24 0.4× 43 0.8× 25 226
Nathan Krislock Canada 9 58 0.3× 77 1.0× 45 0.6× 75 1.1× 80 1.5× 15 245
Anastasios Zouzias Canada 9 50 0.3× 147 2.0× 211 3.0× 68 1.0× 14 0.3× 13 353
Paul Tseng United States 8 36 0.2× 124 1.7× 122 1.7× 125 1.9× 18 0.3× 8 309
Aaron Sidford United States 8 56 0.3× 52 0.7× 146 2.1× 90 1.3× 25 0.5× 20 245

Countries citing papers authored by Franck Iutzeler

Since Specialization
Citations

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

Fields of papers citing papers by Franck Iutzeler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Franck Iutzeler

This figure shows the co-authorship network connecting the top 25 collaborators of Franck Iutzeler. A scholar is included among the top collaborators of Franck Iutzeler 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 Franck Iutzeler. Franck Iutzeler 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.
Iutzeler, Franck, et al.. (2024). The Rate of Convergence of Bregman Proximal Methods: Local Geometry Versus Regularity Versus Sharpness. SIAM Journal on Optimization. 34(3). 2440–2471.
2.
Iutzeler, Franck, et al.. (2023). Push–Pull With Device Sampling. IEEE Transactions on Automatic Control. 68(12). 7179–7194. 1 indexed citations
3.
Iutzeler, Franck, et al.. (2023). Harnessing Structure in Composite Nonsmooth Minimization. SIAM Journal on Optimization. 33(3). 2222–2247.
4.
Iutzeler, Franck, et al.. (2023). Regularization for Wasserstein distributionally robust optimization. ESAIM Control Optimisation and Calculus of Variations. 29. 33–33. 2 indexed citations
5.
Dapogny, Charles, et al.. (2023). Entropy-regularized Wasserstein distributionally robust shape and topology optimization. Structural and Multidisciplinary Optimization. 66(3). 3 indexed citations
6.
Iutzeler, Franck, et al.. (2021). Unsupervised density based machine learning for abnormal leveling signatures detection. HAL (Le Centre pour la Communication Scientifique Directe). 51–51. 2 indexed citations
7.
Iutzeler, Franck, et al.. (2021). Optimization in Open Networks via Dual Averaging. 2021 60th IEEE Conference on Decision and Control (CDC). 514–520. 1 indexed citations
8.
Grishchenko, Dmitry, et al.. (2020). Randomized Progressive Hedging methods for Multi-stage Stochastic\n Programming. arXiv (Cornell University). 10 indexed citations
9.
Iutzeler, Franck, et al.. (2020). Explore Aggressively, Update Conservatively: Stochastic Extragradient Methods with Variable Stepsize Scaling. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
10.
Iutzeler, Franck & Jérôme Malick. (2020). Nonsmoothness in Machine Learning: Specific Structure, Proximal Identification, and Applications. Set-Valued and Variational Analysis. 28(4). 661–678. 5 indexed citations
11.
Mishchenko, Konstantin, Franck Iutzeler, & Jérôme Malick. (2020). A Distributed Flexible Delay-Tolerant Proximal Gradient Algorithm. SIAM Journal on Optimization. 30(1). 933–959. 7 indexed citations
12.
Iutzeler, Franck, Jérôme Malick, & Welington de Oliveira. (2019). Asynchronous level bundle methods. Mathematical Programming. 184(1-2). 319–348. 4 indexed citations
13.
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
14.
Iutzeler, Franck, et al.. (2018). Large-scale asynchronous distributed learning based on parameter exchanges. International Journal of Data Science and Analytics. 5(4). 223–232. 2 indexed citations
15.
Iutzeler, Franck & Julien M. Hendrickx. (2017). A generic online acceleration scheme for optimization algorithms via relaxation and inertia. Optimization methods & software. 34(2). 383–405. 53 indexed citations
16.
Iutzeler, Franck. (2017). Distributed Computation of Quantiles via ADMM. IEEE Signal Processing Letters. 24(5). 619–623. 2 indexed citations
17.
Iutzeler, Franck, et al.. (2015). Distributed Production-Sharing Optimization and Application to Power Grid Networks. IEEE Transactions on Signal and Information Processing over Networks. 2(1). 16–28. 9 indexed citations
18.
Iutzeler, Franck, Pascal Bianchi, Philippe Ciblat, & Walid Hachem. (2015). Explicit Convergence Rate of a Distributed Alternating Direction Method of Multipliers. IEEE Transactions on Automatic Control. 61(4). 892–904. 1 indexed citations
19.
Bianchi, Pascal, Walid Hachem, & Franck Iutzeler. (2014). A Coordinate Descent Primal-Dual Algorithm and Application to\n Distributed Asynchronous Optimization. arXiv (Cornell University). 75 indexed citations
20.
Bianchi, Pascal, Walid Hachem, & Franck Iutzeler. (2014). A stochastic primal-dual algorithm for distributed asynchronous composite optimization. 732–736. 9 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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