Sylvie Méléard

1.8k total citations
35 papers, 912 citations indexed

About

Sylvie Méléard is a scholar working on Mathematical Physics, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, Sylvie Méléard has authored 35 papers receiving a total of 912 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Mathematical Physics, 11 papers in Public Health, Environmental and Occupational Health and 11 papers in Genetics. Recurrent topics in Sylvie Méléard's work include Stochastic processes and statistical mechanics (13 papers), Evolution and Genetic Dynamics (11 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (11 papers). Sylvie Méléard is often cited by papers focused on Stochastic processes and statistical mechanics (13 papers), Evolution and Genetic Dynamics (11 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (11 papers). Sylvie Méléard collaborates with scholars based in France, Chile and United States. Sylvie Méléard's co-authors include Régis Ferrière, Nicolas Champagnat, Nicolas Fournier, Patrick Cattiaux, Vincent Bansaye, Pierre Collet, Benjamin Jourdain, Jaime San Martı́n, Amaury Lambert and Salvador Martı́nez and has published in prestigious journals such as Mathematics of Computation, eLife and PLoS Computational Biology.

In The Last Decade

Sylvie Méléard

31 papers receiving 875 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sylvie Méléard France 15 391 319 278 245 176 35 912
Nicolas Champagnat France 15 551 1.4× 402 1.3× 232 0.8× 350 1.4× 171 1.0× 43 937
Anton Wakolbinger Germany 15 593 1.5× 213 0.7× 627 2.3× 275 1.1× 69 0.4× 67 2.0k
Sylvie Méléard France 18 159 0.4× 130 0.4× 294 1.1× 61 0.2× 116 0.7× 45 806
Pierre‐Emmanuel Jabin France 24 296 0.8× 301 0.9× 317 1.1× 118 0.5× 410 2.3× 84 1.6k
Alison Etheridge United Kingdom 21 1.1k 2.9× 198 0.6× 521 1.9× 144 0.6× 46 0.3× 55 1.8k
Stéphane Mischler France 23 203 0.5× 234 0.7× 434 1.6× 74 0.3× 412 2.3× 55 1.5k
Qimin Zhang China 17 205 0.5× 536 1.7× 86 0.3× 45 0.2× 418 2.4× 153 1.1k
Ryszard Rudnicki Poland 22 316 0.8× 491 1.5× 319 1.1× 46 0.2× 448 2.5× 109 1.8k
Peter Jagers Sweden 22 463 1.2× 491 1.5× 1.2k 4.2× 201 0.8× 311 1.8× 95 2.3k
Vladimir Vatutin Russia 17 183 0.5× 143 0.4× 1.2k 4.5× 69 0.3× 83 0.5× 160 1.7k

Countries citing papers authored by Sylvie Méléard

Since Specialization
Citations

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

Fields of papers citing papers by Sylvie Méléard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sylvie Méléard

This figure shows the co-authorship network connecting the top 25 collaborators of Sylvie Méléard. A scholar is included among the top collaborators of Sylvie Méléard 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 Sylvie Méléard. Sylvie Méléard 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.
Jolivet, Pierre, et al.. (2024). A scenario for an evolutionary selection of ageing. eLife. 13.
2.
Jolivet, Pierre, et al.. (2024). A scenario for an evolutionary selection of ageing. eLife. 13. 6 indexed citations
3.
Chazottes, Jean-René, Pierre Collet, & Sylvie Méléard. (2023). Large population limit of the spectrum of killed birth-and-death processes. Journal of Functional Analysis. 285(9). 110092–110092.
4.
Billiard, Sylvain, et al.. (2023). Human-environment feedback and the consistency of proenvironmental behavior. PLoS Computational Biology. 19(9). e1011429–e1011429. 2 indexed citations
5.
Henry, Benoît, Sylvie Méléard, & Viet Chi Tran. (2023). Time reversal of spinal processes for linear and non-linear branching processes near stationarity. Electronic Journal of Probability. 28(none). 2 indexed citations
6.
Girel, Simon, Vincent Bansaye, Catherine Lacout, et al.. (2021). Multistage hematopoietic stem cell regulation in the mouse: A combined biological and mathematical approach. iScience. 24(12). 103399–103399. 1 indexed citations
7.
Méléard, Sylvie, et al.. (2021). Large fluctuations in multi-scale modeling for rest hematopoiesis. Journal of Mathematical Biology. 82(6). 58–58. 2 indexed citations
8.
9.
Chazottes, Jean-René, Pierre Collet, & Sylvie Méléard. (2019). On time scales and quasi-stationary distributions for multitype birth-and-death processes. Annales de l Institut Henri Poincaré Probabilités et Statistiques. 55(4). 13 indexed citations
10.
Bansaye, Vincent & Sylvie Méléard. (2015). Stochastic Models for Structured Populations: Scaling Limits and Long Time Behavior. arXiv (Cornell University). 18 indexed citations
11.
Loeuille, Nicolas, et al.. (2015). Stochastic eco-evolutionary model of a prey-predator community. Journal of Mathematical Biology. 72(3). 573–622. 16 indexed citations
12.
Fontbona, Joaquín & Sylvie Méléard. (2014). Non local Lotka-Volterra system with cross-diffusion in an heterogeneous medium. Journal of Mathematical Biology. 70(4). 829–854. 20 indexed citations
13.
Billiard, Sylvain, Régis Ferrière, Sylvie Méléard, & Viet Chi Tran. (2014). Stochastic dynamics of adaptive trait and neutral marker driven by eco-evolutionary feedbacks. Journal of Mathematical Biology. 71(5). 1211–1242. 6 indexed citations
14.
Cattiaux, Patrick & Sylvie Méléard. (2009). Competitive or weak cooperative stochastic Lotka–Volterra systems conditioned on non-extinction. Journal of Mathematical Biology. 60(6). 797–829. 37 indexed citations
15.
Cattiaux, Patrick, Pierre Collet, Amaury Lambert, et al.. (2009). Quasi-stationary distributions and diffusion models in population dynamics. The Annals of Probability. 37(5). 76 indexed citations
16.
Jourdain, Benjamin, Sylvie Méléard, & Wojbor A. Woyczyński. (2007). Nonlinear SDEs driven by L\'evy processes and related PDEs. ArXiv.org. 10 indexed citations
17.
Champagnat, Nicolas, Régis Ferrière, & Sylvie Méléard. (2006). Unifying evolutionary dynamics: From individual stochastic processes to macroscopic models. Theoretical Population Biology. 69(3). 297–321. 251 indexed citations
18.
Fournier, Nicolas & Sylvie Méléard. (2004). A microscopic probabilistic description of a locally regulated population and macroscopic approximations. The Annals of Applied Probability. 14(4). 126 indexed citations
19.
Jourdain, Benjamin & Sylvie Méléard. (2004). PROBABILISTIC INTERPRETATION AND PARTICLE METHOD FOR VORTEX EQUATIONS WITH NEUMANN’S BOUNDARY CONDITION. Proceedings of the Edinburgh Mathematical Society. 47(3). 597–624. 6 indexed citations
20.
Jourdain, Benjamin & Sylvie Méléard. (1998). Propagation of chaos and fluctuations for a moderate model with smooth initial data. Annales de l Institut Henri Poincaré Probabilités et Statistiques. 34(6). 727–766. 54 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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