World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
39
Citations
6722
World Ranking
2190
National Ranking
135

Tony Lelièvre 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 Tony Lelièvre 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: 221 publications — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Tony Lelièvre 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 Tony Lelièvre 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: 39 D-Index — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Overview

Tony Lelièvre is affiliated with École des Ponts ParisTech in France. Their research spans several fields and subfields within physical and mathematical sciences, with a focus on molecular dynamics and computational methods.

The main fields of study in which Tony Lelièvre is active include:

  • Physics and Astronomy
  • Mathematics

Their subfields of study encompass:

  • Molecular Biology
  • Statistical and Nonlinear Physics
  • Statistics and Probability
  • Materials Chemistry
  • Atomic and Molecular Physics, and Optics

Key research topics covered by Tony Lelièvre include:

  • Protein Structure and Dynamics
  • Machine Learning in Materials Science
  • Markov Chains and Monte Carlo Methods
  • Spectroscopy and Quantum Chemical Studies
  • Stochastic processes and statistical mechanics
  • Theoretical and Computational Physics
  • Mass Spectrometry Techniques and Applications

Frequent publication venues for Tony Lelièvre are:

  • arXiv (Cornell University)
  • Journal of Chemical Theory and Computation
  • SIAM Journal on Scientific Computing
  • Stochastic Processes and their Applications
  • Mathematics of Computation

Among their recent papers are:

  • Enhanced Sampling Methods for Molecular Dynamics Simulations [Article v1.0], 2022, Living Journal of Computational Molecular Science
  • Machine learning force fields and coarse-grained variables in molecular dynamics: application to materials and biological systems, 2020, arXiv (Cornell University)
  • Chasing Collective Variables Using Autoencoders and Biased Trajectories, 2021, Journal of Chemical Theory and Computation
  • Enhanced sampling methods for molecular dynamics simulations, 2022, arXiv (Cornell University)
  • Machine Learning Force Fields and Coarse-Grained Variables in Molecular Dynamics: Application to Materials and Biological Systems, 2020, Journal of Chemical Theory and Computation

Collaborators frequently working with Tony Lelièvre include:

  • Gabriel Stoltz
  • Julien Reygner
  • Mouad Ramil
  • Paraskevi Gkeka
  • Virginie Ehrlacher

Best Publications

  • The adaptive biasing force method: everything you always wanted to know but were afraid to ask.

    Jeffrey Comer;James C. Gumbart;Jérôme Hénin;Tony Lelièvre

  • Free Energy Computations: A Mathematical Perspective

    Tony Lelièvre;Mathias Rousset;Gabriel Stoltz

  • Mathematical Methods for the Magnetohydrodynamics of Liquid Metals

    Jean-Frédéric Gerbeau;Claude Le Bris;Tony Lelièvre

  • Machine Learning Force Fields and Coarse-Grained Variables in Molecular Dynamics: Application to Materials and Biological Systems.

    Paraskevi Gkeka;Gabriel Stoltz;Gabriel Stoltz;Amir Barati Farimani;Zineb Belkacemi

  • Partial differential equations and stochastic methods in molecular dynamics

    Tony Lelièvre;Gabriel Stoltz

  • Reduced Basis Techniques for Stochastic Problems

    S. Boyaval;C. Le Bris;T. Lelievre;Yvon Maday

  • Existence of solution for a micro–macro model of polymeric fluid: the FENE model

    Benjamin Jourdain;Tony Lelièvre;Claude Le Bris

  • Smoothed Biasing Forces Yield Unbiased Free Energies with the Extended-System Adaptive Biasing Force Method.

    Adrien Lesage;Tony Lelièvre;Gabriel Stoltz;Jérôme Hénin

  • Optimal Non-reversible Linear Drift for the Convergence to Equilibrium of a Diffusion

    Tony Lelièvre;Francis Nier;Grigorios A. Pavliotis

  • Computation of free energy profiles with parallel adaptive dynamics.

    Tony Lelièvre;Mathias Rousset;Gabriel Stoltz

  • Variance reduction Using nonreversible Langevin samplers

    Andrew B. Duncan;Tony Lelièvre;Grigorios A. Pavliotis

  • A mathematical formalization of the parallel replica dynamics

    Claude Le Bris;Tony Lelièvre;Mitchell Luskin;Danny Perez

  • Results and Questions on a Nonlinear Approximation Approach for Solving High-dimensional Partial Differential Equations

    C. Le Bris;T. Lelièvre;Y. Maday

  • New entropy estimates for the Oldroyd-B model and related models

    Dan Hu;Tony Lelièvre

  • Generalized Navier boundary condition and geometric conservation law for surface tension

    Jean-Frédéric Gerbeau;Tony Lelievre

  • Long-Time Asymptotics of a Multiscale Model for Polymeric Fluid Flows

    Benjamin Jourdain;Claude Le Bris;Tony Lelièvre;Tony Lelièvre;Félix Otto

  • Long-time convergence of an adaptive biasing force method

    Tony Lelièvre;Tony Lelièvre;Mathias Rousset;Mathias Rousset;Gabriel Stoltz;Gabriel Stoltz

  • Adaptive Multilevel Splitting Method for Molecular Dynamics Calculation of Benzamidine-Trypsin Dissociation Time

    Ivan Teo;Christopher G. Mayne;Klaus Schulten;Tony Lelièvre

  • Projection of diffusions on submanifolds: Application to mean force computation

    Giovanni Ciccotti;Tony Lelièvre;Eric Vanden-Eijnden

  • Potential of Mean Force Calculations: A Multiple-Walker Adaptive Biasing Force Approach

    Kimiya Minoukadeh;Christophe Chipot;Tony Lelièvre

  • A multiple replica approach to simulate reactive trajectories

    Frédéric Cérou;Arnaud Guyader;Tony Lelièvre;David Pommier

Frequent Co-Authors

Eric Cancès
Eric Cancès École des Ponts ParisTech
Alexandre Ern
Alexandre Ern École des Ponts ParisTech
Jean-Frédéric Gerbeau
Jean-Frédéric Gerbeau French Institute for Research in Computer Science and Automation - INRIA
Christophe Chipot
Christophe Chipot University of Illinois at Urbana-Champaign
Yvon Maday
Yvon Maday Sorbonne University
Stefano Olla
Stefano Olla Paris Dauphine University
Eric Vanden-Eijnden
Eric Vanden-Eijnden Courant Institute of Mathematical Sciences
Alexandre Tkatchenko
Alexandre Tkatchenko University of Luxembourg

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