Franck Iutzeler
- Computer Networks and Communications top 5%
- Computational Mechanics top 10%
- Artificial Intelligence
- Computational Theory and Mathematics top 10%
- Electrical and Electronic Engineering
- Co-authors
- Walid HachemPhilippe CiblatPascal BianchiJérémie JakubowiczJulien M. HendrickxJérôme MalickHouria SiguerdidjaneDmitry Grishchenko
- Topics
- Distributed Control Multi-Agent Systems (10 papers)Sparse and Compressive Sensing Techniques (7 papers)Stochastic Gradient Optimization Techniques (7 papers)
- Journals
- IEEE Transactions on Automatic ControlIEEE Transactions on Signal ProcessingMathematical Programming
- Partner nations
- FranceUnited StatesSaudi Arabia
In The Last Decade
Franck Iutzeler
20 papers receiving 288 citations
Peers
Comparison fields: 5 of 44
- Computer Networks and Communications 180
- Computational Mechanics 74
- Artificial Intelligence 71
- Computational Theory and Mathematics 67
- Electrical and Electronic Engineering 54
Countries citing papers authored by Franck Iutzeler
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 10 | |
| 9 | Explore Aggressively, Update Conservatively: Stochastic Extragradient Methods with Variable Stepsize Scaling | 1 |
| 10 | 5 | |
| 11 | 7 | |
| 12 | 4 | |
| 13 | 2 | |
| 14 | 2 | |
| 15 | 53 | |
| 16 | 2 | |
| 17 | 9 | |
| 18 | 1 | |
| 19 | 75 | |
| 20 | 9 |
About Franck Iutzeler
Franck Iutzeler is a scholar working on Numerical Analysis, Computer Networks and Communications and Computational Theory and Mathematics, having authored 23 papers that have together received 300 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (10 papers), Sparse and Compressive Sensing Techniques (7 papers) and Stochastic Gradient Optimization Techniques (7 papers). The work is most often cited by research in Numerical Analysis (50 citations), Computer Networks and Communications (180 citations) and Computational Theory and Mathematics (67 citations). Franck Iutzeler has collaborated with scholars based in France, United States and Saudi Arabia. Frequent 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. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Signal Processing and Mathematical Programming.
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.