Sylvie Méléard

1.8k citations
35 papers · 912 indexed · h-index 15

Sylvie Méléard

31 papers receiving 875 citations

Peers

Sylvie Méléard
Comparison fields: 5 of 82
  • Modeling and Simulation 176
  • Mathematical Physics 278
  • Finance 175
  • Genetics 391
  • Public Health, Environmental and Occupational Health 319
Replace Nicolas Champagnat with:
Nicolas Champagnat France
Anton Wakolbinger Germany
Alison Etheridge United Kingdom
Sylvie Méléard France
Ryszard Rudnicki Poland
Peter Jagers Sweden
Vladimir Vatutin Russia
J. Radcliffe United Kingdom
Sotirios Sabanis United Kingdom
Pierre‐Emmanuel Jabin France
Sylvie Méléard relative to Nicolas Champagnat France Nicolas Champagnat's profile →
Citations per field
00.5×1.7×
Nicolas Champagnat · 1×
Citations per year

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

The 25 scholars most cited alongside Sylvie Méléard, 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 Sylvie Méléard Line = papers co-authored together Sylvie Méléard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20246
3 20232
4 20230
5 20232
6 20211
7 20212
8 20200
9 201913
10 201518
11 201516
12 201420
13 20146
14 200937
15 200976
16
Nonlinear SDEs driven by L\'evy processes and related PDEs
200710
17 2006251
18 2004126
19 20046
20 199854

About Sylvie Méléard

Sylvie Méléard is a scholar working on Mathematical Physics, Aging, Modeling and Simulation, Finance and Genetics, having authored 35 papers that have together received 912 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (13 papers), Evolution and Genetic Dynamics (11 papers), Mathematical and Theoretical Epidemiology and Ecology Models (11 papers), Stochastic processes and financial applications (10 papers), Evolutionary Game Theory and Cooperation (6 papers), Mathematical Biology Tumor Growth (5 papers), Fluid Dynamics and Turbulent Flows (4 papers) and Advanced Thermodynamics and Statistical Mechanics (3 papers). The work is most often cited by research in Modeling and Simulation (176 citations), Mathematical Physics (278 citations), Finance (175 citations), Genetics (391 citations) and Public Health, Environmental and Occupational Health (319 citations). Sylvie Méléard has collaborated with scholars based in France, Chile and United States. Frequent 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. Their work appears in journals such as Journal of Mathematical Biology, Advances in Applied Probability, Annales de l Institut Henri Poincaré Probabilités et Statistiques, The Annals of Applied Probability and Probability Theory and Related Fields.

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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