World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
39
Citations
5996
World Ranking
2221
National Ranking
138

Cécile Monthus 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 Cécile Monthus 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: 212 publications — 66th percentile

66% of scientists in this discipline score the same or lower.

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

Cécile Monthus 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 Cécile Monthus 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

Cécile Monthus is a researcher affiliated with the University of Paris-Saclay in France. Their work primarily concerns the field of Physics and Astronomy, with a significant focus on Statistical and Nonlinear Physics as well as Atomic and Molecular Physics and Optics. The research interests extend into related areas such as General Health Professions, Molecular Biology, and Condensed Matter Physics.

Their work explores a range of specialized topics, including:

  • Advanced Thermodynamics and Statistical Mechanics
  • Quantum many-body systems
  • Quantum chaos and dynamical systems
  • Theoretical and Computational Physics
  • Markov Chains and Monte Carlo Methods
  • Diffusion and Search Dynamics
  • Stochastic dynamics and bifurcation

The researcher has published extensively, with notable frequent appearances in several academic journals and platforms. These include:

  • Journal of Statistical Mechanics Theory and Experiment
  • arXiv (Cornell University)
  • Journal of Physics A Mathematical and Theoretical
  • Physical review. E
  • The European Physical Journal B

Cécile Monthus has collaborated regularly with other scientists, most notably Alain Mazzolo, with whom they have coauthored multiple papers.

Some recent publications include:

  • "Inference of Markov models from trajectories via large deviations at level 2.5 with applications to random walks in disordered media," 2021, Journal of Statistical Mechanics Theory and Experiment
  • "Nonequilibrium diffusion processes via non-Hermitian electromagnetic quantum mechanics with application to the statistics of entropy production in the Brownian gyrator," 2023, Physical review. E
  • "Large deviations for metastable states of Markov processes with absorbing states with applications to population models in stable or randomly switching environments," 2022, Journal of Statistical Mechanics Theory and Experiment
  • "Anomalous dynamical large deviations of local empirical densities and activities in the pure and in the random kinetically constrained East model," 2022, The European Physical Journal B
  • "Conditioned diffusion processes with an absorbing boundary condition for finite or infinite horizon," 2022, Physical review. E

Best Publications

  • Models of traps and glass phenomenology

    Cécile Monthus;Jean-Philippe Bouchaud

  • Strong disorder RG approach of random systems

    Ferenc Iglói;Cécile Monthus

  • Random walkers in one-dimensional random environments: exact renormalization group analysis.

    Pierre Le Doussal;Cécile Monthus;Daniel S. Fisher

  • Many-body localization transition in a lattice model of interacting fermions: Statistics of renormalized hoppings in configuration space

    Cécile Monthus;Thomas Garel

  • Random Walks, Reaction-Diffusion, and Nonequilibrium Dynamics of Spin Chains in One-Dimensional Random Environments

    Daniel S. Fisher;Pierre Le Doussal;Cecile Monthus

  • Exponential Functionals of Brownian Motion and Disordered Systems

    Alain Comtet;Cécile Monthus;Marc Yor

  • Strong disorder RG approach – a short review of recent developments

    Ferenc Iglói;Cécile Monthus

  • Percolation Transition in the Random Antiferromagnetic Spin-1 Chain

    C. Monthus;O. Golinelli;Th. Jolicoeur

  • Nonequilibrium dynamics of random field Ising spin chains: exact results via real space renormalization group.

    Daniel S. Fisher;Pierre Le Doussal;Cécile Monthus

  • Exact solutions for the statistics of extrema of some random 1D landscapes, application to the equilibrium and the dynamics of the toy model

    Pierre Le Doussal;Cécile Monthus

  • On the flux distribution in a one dimensional disordered system

    Cécile Monthus;Alain Comtet

  • A simple model for DNA denaturation

    T. Garel;C. Monthus;H. Orland

  • Exact solutions for the statistics of extrema of some random 1D landscapes, Application to the equilibrium and the dynamics of the toy model

    P. Le Doussal;C. Monthus

  • Flow towards diagonalization for many-body-localization models: adaptation of the Toda matrix differential flow to random quantum spin chains

    Cécile Monthus

  • Localization properties of the anomalous diffusion phase in the directed trap model and in the Sinai diffusion with a bias.

    Cécile Monthus

  • Non-equilibrium steady states: maximization of the Shannon entropy associated with the distribution of dynamical trajectories in the presence of constraints

    Cécile Monthus

  • On a dynamical model of glasses

    Jean-Philippe Bouchaud;Alain Comtet;Cécile Monthus

  • Anderson localization of phonons in dimension d = 1 , 2 , 3 : Finite-size properties of the inverse participation ratios of eigenstates

    Cécile Monthus;Thomas Garel

  • On the localization of random heteropolymers at the interface between two selective solvents

    C. Monthus

  • Localization of thermal packets and metastable states in the Sinai model

    Cécile Monthus;Pierre Le Doussal

  • Phases of random antiferromagnetic spin-1 chains

    C. Monthus;O. Golinelli;Th. Jolicœur

Frequent Co-Authors

Alain Comtet
Alain Comtet Sorbonne University
Daniel S. Fisher
Daniel S. Fisher Stanford University
Marc Yor
Marc Yor Sorbonne University
Gleb Oshanin
Gleb Oshanin Sorbonne University

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 those studying Mathematics in the USA, exploring related online degrees can open diverse career opportunities. Many graduates consider advancing into business or finance fields where analytical skills are highly valued.

If you are looking for flexible options to further your education, there are programs worth investigating. For instance, some of the easiest online mba programs to get into provide accessible pathways for math graduates aiming for leadership roles without intense admission requirements.

Cost is often a deciding factor when choosing a program. The most affordable online dba programs and the cheapest online master's in finance are practical choices for those wanting to enhance business knowledge without extensive financial burden.

Additionally, time commitment matters for busy professionals. The fastest mba online options allow quick completion, enabling students to swiftly apply their advanced skills in the workforce.

Exploring these online degrees can complement a Mathematics background and lead to rewarding roles in data analysis, financial management, and strategic decision-making.

Best Scientists Citing Cécile Monthus

Trending Scientists

Recently Published Articles