World's Best Scientists 2026 revealed!
Sylvie Méléard

Sylvie Méléard

D-Index & Metrics

Mathematics

D-Index
36
Citations
5333
World Ranking
2648
National Ranking
161

Sylvie Méléard publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Sylvie Méléard sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 112 publications — 17th percentile

17% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Sylvie Méléard D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Sylvie Méléard sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 36 D-Index — 29th percentile

29% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

Research.com Recognitions

  • 2018 - Member of the European Academy of Sciences

Overview

Sylvie Méléard is affiliated with École Polytechnique in France and has contributed extensively to the fields of Biochemistry, Genetics and Molecular Biology. Their research spans a wide range of topics including Evolution and Genetic Dynamics, Mathematical and Theoretical Epidemiology and Ecology Models, and Stochastic processes and statistical mechanics.

Their recent publications showcase a blend of biological and mathematical approaches in diverse venues. Notable papers include:

  • A scenario for an evolutionary selection of ageing (2024, eLife)
  • Human-environment feedback and the consistency of proenvironmental behavior (2023, PLoS Computational Biology)
  • Multistage hematopoietic stem cell regulation in the mouse: A combined biological and mathematical approach (2021, iScience)
  • Stochastic analysis of emergence of evolutionary cyclic behavior in population dynamics with transfer (2021, The Annals of Applied Probability)
  • Scaling limits of bisexual Galton-Watson processes (2023, Stochastics)

Their collaborations often include several researchers contributing frequently to similar subjects. Frequent co-authors of Méléard are Vincent Bansaye, Claire Ecotière, Pierre Collet, Stéphane Giraudier, and Viet Chi Tran.

Publishing often in venues that bridge pre-publication and peer-reviewed platforms, Méléard's frequent publication venues include:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • eLife
  • PLoS Computational Biology
  • iScience

Their work covers several subfields such as Genetics, Mathematical Physics, Public Health, Environmental and Occupational Health, Statistical and Nonlinear Physics, and Molecular Biology. This reflects a wide interdisciplinary approach to complex biological and mathematical problems.

Méléard's main research topics encompass:

  • Evolution and Genetic Dynamics
  • Mathematical and Theoretical Epidemiology and Ecology Models
  • Stochastic processes and statistical mechanics
  • Evolutionary Game Theory and Cooperation
  • Opinion Dynamics and Social Influence
  • Stochastic processes and financial applications
  • Genetics, Aging, and Longevity in Model Organisms

In 2018, Méléard was recognized as a Member of the European Academy of Sciences, underscoring their standing within the scientific community.

Best Publications

  • Unifying evolutionary dynamics: from individual stochastic processes to macroscopic models.

    Nicolas Champagnat;Régis Ferrière;Sylvie Méléard

  • Asymptotic behaviour of some interacting particle systems; McKean-Vlasov and Boltzmann models

    Sylvie Méléard;Sylvie Méléard

  • A microscopic probabilistic description of a locally regulated population and macroscopic approximations

    Nicolas Fournier;Sylvie Méléard

  • Quasi-stationary distributions and population processes

    Sylvie Méléard;Denis Villemonais

  • Stochastic particle approximations for generalized Boltzmann models and convergence estimates

    Carl Graham;Sylvie Méléard

  • Quasi-stationary distributions and diffusion models in population dynamics

    Patrick Cattiaux;Pierre Collet;Amaury Lambert;Servet Martínez

  • From Individual Stochastic Processes to Macroscopic Models in Adaptive Evolution

    Nicolas Champagnat;Régis Ferrière;Sylvie Méléard

  • Invasion and adaptive evolution for individual-based spatially structured populations

    Nicolas Champagnat;Sylvie Méléard

  • The approximate Euler method for Lévy driven stochastic differential equations

    Jean Jacod;Thomas G. Kurtz;Sylvie Méléard;Philip Protter

  • Martingale measures and stochastic calculus

    N. El Karoui;S. Méléard

  • Nonlinear SDEs driven by Levy processes and related PDEs

    Benjamin Jourdain;Sylvie Meleard;Wojbor A. Woyczynski

  • Polymorphic evolution sequence and evolutionary branching

    Nicolas Champagnat;Sylvie Méléard

  • Propagation of chaos and fluctuations for a moderate model with smooth initial data

    B Jourdain;S Meleard

  • A propagation of chaos result for a system of particles with moderate interaction

    Sylvie Meleard;Sylvie Roelly-Coppoletta

  • Probabilistic Models for Nonlinear Partial Differential Equations

    Carl Graham;Thomas G. Kurtz;Sylvie Méléard;Philip E. Protter

  • Stochastic Models for Structured Populations

    Sylvie Meleard;Vincent Bansaye

  • Competitive or weak cooperative stochastic Lotka–Volterra systems conditioned on non-extinction

    Patrick Cattiaux;Sylvie Méléard

  • A rigorous model study of the adaptive dynamics of Mendelian diploids.

    Pierre Collet;Sylvie Méléard;Johan A. J. Metz

  • Chaos hypothesis for a system interacting through shared resources

    Carl Graham;Sylvie Méléard

  • Trait Substitution Sequence process and Canonical Equation for age-structured populations.

    Sylvie Méléard;Viet Chi Tran

Frequent Co-Authors

Régis Ferrière
Régis Ferrière École Normale Supérieure
Pierre Collet
Pierre Collet University of Strasbourg
Vincent Calvez
Vincent Calvez Centre national de la recherche scientifique, CNRS
Philip Protter
Philip Protter Columbia University
Johan A. J. Metz
Johan A. J. Metz Leiden University
Anton Bovier
Anton Bovier University of Bonn
Thomas G. Kurtz
Thomas G. Kurtz University of Wisconsin–Madison
Laurent Desvillettes
Laurent Desvillettes Université Paris Cité
Jean-Philippe Steyer
Jean-Philippe Steyer INRAE : Institut national de recherche pour l'agriculture, l'alimentation et l'environnement
Muriel Cocaign-Bousquet
Muriel Cocaign-Bousquet Federal University of Toulouse Midi-Pyrénées

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students studying Mathematics in the USA, exploring related online degrees can open diverse career pathways. Many find that combining their quantitative skills with business knowledge enhances job prospects. For those interested in management roles, the easiest mba specialization options offer accessible pathways to gain essential leadership skills without overwhelming admission hurdles.

Online education flexibility is crucial for working students or those balancing multiple commitments. The easiest mba online programs deliver comprehensive curricula tailored for remote learning, making advanced business education more attainable.

For professionals aiming at higher-level academia or executive roles, pursuing a Doctor of Business Administration (DBA) degree is a strategic move. The dba online programs provide affordable, flexible options to deepen research and leadership expertise without disrupting career momentum.

Finance is another strong career direction tied to mathematics backgrounds. Enrolling in an online masters in finance can equip students with vital skills in financial analysis, risk management, and investment strategies, broadening opportunities in banking, consulting, or corporate finance.

Best Scientists Citing Sylvie Méléard

Trending Scientists