Gilles Trédan

1.1k total citations
31 papers, 452 citations indexed

About

Gilles Trédan is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, Gilles Trédan has authored 31 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Networks and Communications, 7 papers in Statistical and Nonlinear Physics and 7 papers in Artificial Intelligence. Recurrent topics in Gilles Trédan's work include Software-Defined Networks and 5G (8 papers), Distributed systems and fault tolerance (7 papers) and Complex Network Analysis Techniques (7 papers). Gilles Trédan is often cited by papers focused on Software-Defined Networks and 5G (8 papers), Distributed systems and fault tolerance (7 papers) and Complex Network Analysis Techniques (7 papers). Gilles Trédan collaborates with scholars based in France, Switzerland and Germany. Gilles Trédan's co-authors include Erwan Le Merrer, Patrick Pérez, Stefan Schmid, Anne-Marie Kermarrec, Bruno Séricola, Yvonne-Anne Pignolet, Matthieu Roy, Klaus-Tycho Foerster, Anwitaman Datta and Xin Liu and has published in prestigious journals such as IEEE/ACM Transactions on Networking, ACM SIGCOMM Computer Communication Review and IEEE Transactions on Parallel and Distributed Systems.

In The Last Decade

Gilles Trédan

29 papers receiving 435 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gilles Trédan France 9 215 132 128 81 48 31 452
Erwan Le Merrer France 10 302 1.4× 250 1.9× 196 1.5× 146 1.8× 53 1.1× 27 677
William Hendrix United States 9 168 0.8× 142 1.1× 65 0.5× 98 1.2× 51 1.1× 27 363
Tingyuan Nie China 10 143 0.7× 76 0.6× 209 1.6× 111 1.4× 61 1.3× 39 532
Yinglong Xia United States 13 326 1.5× 75 0.6× 96 0.8× 85 1.0× 87 1.8× 53 437
Luke K. McDowell United States 13 229 1.1× 100 0.8× 66 0.5× 87 1.1× 129 2.7× 32 431
Guoyong Cai China 10 279 1.3× 89 0.7× 30 0.2× 82 1.0× 165 3.4× 53 494
Chunjing Xiao China 12 212 1.0× 137 1.0× 103 0.8× 57 0.7× 55 1.1× 38 442
Stephen Ingram Canada 7 130 0.6× 92 0.7× 303 2.4× 21 0.3× 67 1.4× 12 477
Bart Bogaerts Belgium 9 321 1.5× 84 0.6× 67 0.5× 24 0.3× 64 1.3× 61 467

Countries citing papers authored by Gilles Trédan

Since Specialization
Citations

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

Fields of papers citing papers by Gilles Trédan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gilles Trédan

This figure shows the co-authorship network connecting the top 25 collaborators of Gilles Trédan. A scholar is included among the top collaborators of Gilles Trédan 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 Gilles Trédan. Gilles Trédan 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.
Merrer, Erwan Le, et al.. (2025). Queries, Representation & Detection: The Next 100 Model Fingerprinting Schemes. Proceedings of the AAAI Conference on Artificial Intelligence. 39(16). 16817–16825.
2.
Merrer, Erwan Le, et al.. (2023). Modeling rabbit-holes on YouTube. Social Network Analysis and Mining. 13(1). 3 indexed citations
3.
Merrer, Erwan Le, et al.. (2022). Algorithmic Audits of Algorithms, and the Law. SSRN Electronic Journal. 1 indexed citations
4.
Merrer, Erwan Le, et al.. (2020). Setting the Record Straighter on Shadow Banning. arXiv (Cornell University). 19 indexed citations
5.
Foerster, Klaus-Tycho, Andrzej Kamisiński, Yvonne-Anne Pignolet, Stefan Schmid, & Gilles Trédan. (2020). Improved Fast Rerouting Using Postprocessing. IEEE Transactions on Dependable and Secure Computing. 19(1). 537–550. 7 indexed citations
6.
Merrer, Erwan Le & Gilles Trédan. (2020). Remote explainability faces the bouncer problem. Nature Machine Intelligence. 2(9). 529–539. 11 indexed citations
7.
Foerster, Klaus-Tycho, Andrzej Kamisiński, Yvonne-Anne Pignolet, Stefan Schmid, & Gilles Trédan. (2019). Improved Fast Rerouting Using Postprocessing. 173–182. 6 indexed citations
8.
Merrer, Erwan Le, Patrick Pérez, & Gilles Trédan. (2019). Adversarial frontier stitching for remote neural network watermarking. Neural Computing and Applications. 32(13). 9233–9244. 178 indexed citations
9.
Borokhovich, Michael, Yvonne-Anne Pignolet, Stefan Schmid, & Gilles Trédan. (2018). Load-Optimal Local Fast Rerouting for Dense Networks. IEEE/ACM Transactions on Networking. 26(6). 2583–2597. 8 indexed citations
10.
Pignolet, Yvonne-Anne, Stefan Schmid, & Gilles Trédan. (2018). Tomographic Node Placement Strategies and the Impact of the Routing Model. 75–77. 5 indexed citations
11.
Pignolet, Yvonne-Anne, Stefan Schmid, & Gilles Trédan. (2018). Tomographic Node Placement Strategies and the Impact of the Routing Model. ACM SIGMETRICS Performance Evaluation Review. 46(1). 75–77. 1 indexed citations
12.
Pignolet, Yvonne-Anne, Stefan Schmid, & Gilles Trédan. (2017). Tomographic Node Placement Strategies and the Impact of the Routing Model. Proceedings of the ACM on Measurement and Analysis of Computing Systems. 1(2). 1–23. 6 indexed citations
13.
Roy, Matthieu, Stefan Schmid, & Gilles Trédan. (2014). Modeling and measuring graph similarity. 47–52. 13 indexed citations
14.
Schmid, Stefan, et al.. (2014). Adversarial topology discovery in network virtualization environments: a threat for ISPs?. Distributed Computing. 28(2). 91–109. 2 indexed citations
15.
Trédan, Gilles, et al.. (2011). MetaTrust: discriminant analysis of local information for global trust assessment. Adaptive Agents and Multi-Agents Systems. 1071–1072. 4 indexed citations
16.
Kermarrec, Anne-Marie, Erwan Le Merrer, Bruno Séricola, & Gilles Trédan. (2010). Second order centrality: Distributed assessment of nodes criticity in complex networks. Computer Communications. 34(5). 619–628. 73 indexed citations
17.
Mostéfaoui, Achour, et al.. (2009). On the Fly Estimation of the Processes that Are Alive in an Asynchronous Message-Passing System. IEEE Transactions on Parallel and Distributed Systems. 20(6). 778–787. 2 indexed citations
18.
Merrer, Erwan Le & Gilles Trédan. (2009). Centralities. 33–38. 22 indexed citations
19.
Anta, Antonio Fernández, Ernesto Jiménez, Michel Raynal, & Gilles Trédan. (2008). A Timing Assumption and Two t-Resilient Protocols for Implementing an Eventual Leader Service in Asynchronous Shared Memory Systems. Algorithmica. 56(4). 550–576. 6 indexed citations
20.
Alvisi, Lorenzo, Jeroen Doumen, Rachid Guerraoui, et al.. (2007). How robust are gossip-based communication protocols?. ACM SIGOPS Operating Systems Review. 41(5). 14–18. 20 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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