Marc Lelarge

69 papers receiving 1.2k citations

Peers

Marc Lelarge
Comparison fields: 5 of 84
  • Statistical and Nonlinear Physics 420
  • Statistics and Probability 188
  • Computational Mathematics 11
  • Management Science and Operations Research 205
  • Computer Networks and Communications 376
Replace Jiaming Xu with:
Jiaming Xu United States
Milena Mihail United States
Dorit Ron Israel
Claire Kenyon France
David Gamarnik United States
Minyi Huang Canada
Constantinos Daskalakis United States
Alessandro Panconesi Italy
Artur Czumaj United Kingdom
Leslie Ann Goldberg United Kingdom
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Countries citing papers authored by Marc Lelarge

Since Specialization
Citations

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

Fields of papers citing papers by Marc Lelarge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marc Lelarge, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marc Lelarge Line = papers co-authored together Marc Lelarge links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015111
2 2009103
3 201875
4 201264
5 200861
6 200858
7 200855
8 200849
9 201046
10 200936
11 201431
12 201827
13 201225
14 201724
15 200823
16 201523
17 200921
18 201419
19 201217
20 200717

About Marc Lelarge

Marc Lelarge is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Management Information Systems, Management Science and Operations Research and Mathematical Physics, having authored 74 papers that have together received 1.2k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (23 papers), Opinion Dynamics and Social Influence (18 papers), Advanced Queuing Theory Analysis (16 papers), Stochastic processes and statistical mechanics (15 papers), Probability and Risk Models (10 papers), Markov Chains and Monte Carlo Methods (9 papers), Random Matrices and Applications (8 papers) and Graph theory and applications (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (420 citations), Statistics and Probability (188 citations), Computational Mathematics (11 citations), Management Science and Operations Research (205 citations) and Computer Networks and Communications (376 citations). Marc Lelarge has collaborated with scholars based in France, United States and Burundi. Frequent co-authors include Jean Bolot, Léo Miolane, Laurent Massoulié, Mohsen Bayati, Andrea Montanari, Charles Bordenave, Thomas Bonald, Jiaming Xu, Hamed Amini and Mathieu Leconte. Their work appears in journals such as Journal of Applied Probability, ACM SIGMETRICS Performance Evaluation Review, Advances in Applied Probability, Queueing Systems and The Annals of Applied Probability.

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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