Gilles Trédan
- Artificial Intelligence top 5%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Statistical and Nonlinear Physics top 10%
- Information Systems top 10%
- Co-authors
- Erwan Le MerrerPatrick PérezStefan SchmidAnne-Marie KermarrecBruno SéricolaYvonne-Anne PignoletMatthieu RoyKlaus-Tycho Foerster
- Topics
- Software-Defined Networks and 5G (8 papers)Complex Network Analysis Techniques (7 papers)Distributed systems and fault tolerance (7 papers)
- Cited by
- Artificial IntelligenceStatistical and Nonlinear PhysicsComputer Vision and Pattern Recognition
- Journals
- IEEE/ACM Transactions on NetworkingACM SIGCOMM Computer Communication ReviewIEEE Transactions on Parallel and Distributed Systems
- Partner nations
- FranceSwitzerlandGermany
In The Last Decade
Gilles Trédan
29 papers receiving 435 citations
Peers
Comparison fields: 5 of 72
- Artificial Intelligence 215
- Computer Networks and Communications 132
- Computer Vision and Pattern Recognition 128
- Statistical and Nonlinear Physics 81
- Information Systems 48
Countries citing papers authored by Gilles Trédan
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 19 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | 11 | |
| 9 | 6 | |
| 10 | 178 | |
| 11 | 8 | |
| 12 | 5 | |
| 13 | 6 | |
| 14 | 4 | |
| 15 | 13 | |
| 16 | 4 | |
| 17 | Beyond San Fancisco Cabs : Building a *-lity Mining Dataset | 3 |
| 18 | 2 | |
| 19 | 22 | |
| 20 | 20 |
About Gilles Trédan
Gilles Trédan is a scholar working on Computer Networks and Communications, Hardware and Architecture and Statistical and Nonlinear Physics, having authored 31 papers that have together received 452 indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (8 papers), Complex Network Analysis Techniques (7 papers) and Distributed systems and fault tolerance (7 papers). The work is most often cited by research in Artificial Intelligence (215 citations), Statistical and Nonlinear Physics (81 citations) and Computer Vision and Pattern Recognition (128 citations). Gilles Trédan has collaborated with scholars based in France, Switzerland and Germany. Frequent 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. Their work appears in journals such as IEEE/ACM Transactions on Networking, ACM SIGCOMM Computer Communication Review and IEEE Transactions on Parallel and Distributed Systems.
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.