Clémence Magnien
- Statistical and Nonlinear Physics top 2%
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Computational Theory and Mathematics top 5%
- Co-authors
- Matthieu LatapyNathalie Del VecchioTiphaine ViardMichel HabibPierluigi CrescenziAndrea MarinoJean‐Loup GuillaumeMichel Morvan
- Topics
- Complex Network Analysis Techniques (17 papers)Peer-to-Peer Network Technologies (8 papers)Network Traffic and Congestion Control (7 papers)
In The Last Decade
Clémence Magnien
28 papers receiving 707 citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Statistical and Nonlinear Physics 342
- Computer Networks and Communications 188
- Artificial Intelligence 133
- Computer Vision and Pattern Recognition 94
- Computational Theory and Mathematics 90
Countries citing papers authored by Clémence Magnien
This map shows the geographic impact of Clémence Magnien'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 Clémence Magnien with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clémence Magnien more than expected).
Fields of papers citing papers by Clémence Magnien
This network shows the impact of papers produced by Clémence Magnien. 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 Clémence Magnien. The network helps show where Clémence Magnien may publish in the future.
Co-authorship network of co-authors of Clémence Magnien
This figure shows the co-authorship network connecting the top 25 collaborators of Clémence Magnien. A scholar is included among the top collaborators of Clémence Magnien 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 Clémence Magnien. Clémence Magnien is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 12 | |
| 3 | 7 | |
| 4 | 73 | |
| 5 | 7 | |
| 6 | 55 | |
| 7 | 8 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 3 | |
| 11 | 18 | |
| 12 | Detecting events in the dynamics of ego-centered measurements of the internet topology | 2 |
| 13 | 26 | |
| 14 | A basic toolbox for the analysis of dynamics of growing networks | 1 |
| 15 | 18 | |
| 16 | 5 | |
| 17 | 4 | |
| 18 | 4 | |
| 19 | 8 | |
| 20 | 4 |
About Clémence Magnien
Clémence Magnien is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Mathematical Physics, having authored 31 papers that have together received 735 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (17 papers), Peer-to-Peer Network Technologies (8 papers) and Network Traffic and Congestion Control (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (342 citations), Computer Networks and Communications (188 citations) and Computational Theory and Mathematics (90 citations). Clémence Magnien has collaborated with scholars based in France, Italy and Chile. Frequent co-authors include Matthieu Latapy, Nathalie Del Vecchio, Tiphaine Viard, Michel Habib, Pierluigi Crescenzi, Andrea Marino, Jean‐Loup Guillaume, Michel Morvan, Brice Augustin and Fabien Viger. Their work appears in journals such as ACM Computing Surveys, Physica A Statistical Mechanics and its Applications and Computer Networks.
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.