World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
55
Citations
23145
World Ranking
769
National Ranking
375

Amir Dembo 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 Amir Dembo 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: 188 publications — 57th percentile

57% of scientists in this discipline score the same or lower.

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

Amir Dembo 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 Amir Dembo 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: 55 D-Index — 79th percentile

79% of scientists in this discipline score the same or lower.

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

Overview

Amir Dembo is affiliated with Stanford University in the United States. Their research spans the field of mathematics, with a focus on several key subfields including mathematical physics, statistics and probability, condensed matter physics, discrete mathematics and combinatorics, as well as geometry and topology.

The main topics of Amir Dembo's work cover various areas of theoretical and applied mathematics and physics. These topics include:

  • Stochastic processes and statistical mechanics
  • Markov chains and Monte Carlo methods
  • Theoretical and computational physics
  • Random matrices and applications
  • Mathematical dynamics and fractals
  • Limits and structures in graph theory
  • Graph theory and applications

In terms of recent publications, Amir Dembo has made contributions to several academic journals. Some of the notable papers include:

  • "On the limiting law of line ensembles of Brownian polymers with geometric area tilts" (2024), published in Annales de l'Institut Henri Poincaré Probabilités et Statistiques
  • "Capacity of the range of random walk: The law of the iterated logarithm" (2024), published in The Annals of Probability
  • "Limit law for the cover time of a random walk on a binary tree" (2021), published in Annales de l'Institut Henri Poincaré Probabilités et Statistiques
  • "Large deviations of subgraph counts for sparse Erdős-Rényi graphs" (2020), published in Advances in Mathematics (co-authored by Nicholas A. Cook)

Amir Dembo frequently publishes in the following venues:

  • arXiv (Cornell University)
  • Annales de l'Institut Henri Poincaré Probabilités et Statistiques
  • The Annals of Applied Probability
  • Communications on Pure and Applied Mathematics
  • Advances in Mathematics

Their research collaborations often include co-authors such as:

  • Nicholas A. Cook
  • Ofer Zeitouni
  • Eyal Lubetzky
  • Kevin Yang
  • Huy Tuan Pham

The scope of Amir Dembo's work largely centers around advancing the mathematical understanding of stochastic models and theoretical frameworks linking probability, geometry, and physics. Their contributions involve both rigorous probabilistic analysis and applications to complex mathematical structures.

Best Publications

  • Large Deviations Techniques and Applications

    Amir Dembo;Ofer Zeitouni

  • Large Deviation Techniques and Applications.

    Erwin Bolthauser;Amir Dembo;Ofer Zeitouni

  • Information theoretic inequalities

    A. Dembo;T.M. Cover;J.A. Thomas

  • Aging of spherical spin glasses

    G. Ben Arous;A. Dembo;A. Guionnet

  • Spectral measure of large random Hankel, Markov and Toeplitz matrices

    Włodzimierz Bryc;Amir Dembo;Tiefeng Jiang

  • Limit Distribution of Maximal Non-Aligned Two-Sequence Segmental Score

    Amir Dembo;Samuel Karlin;Ofer Zeitouni

  • Ising models on locally tree-like graphs

    Amir Dembo;Andrea Montanari

  • Parameter estimation of partially observed continuous time stochastic processes via the EM algorithm

    A. Dembo;O. Zeitouni

  • Gibbs measures and phase transitions on sparse random graphs

    Amir Dembo;Andrea Montanari

  • High-order absolutely stable neural networks

    A. Dembo;O. Farotimi;T. Kailath

  • LIMIT DISTRIBUTIONS OF MAXIMAL SEGMENTAL SCORE AMONG MARKOV-DEPENDENT PARTIAL SUMS

    Samuel Karlin;Amir Dembo

  • Cover times for Brownian motion and random walks in two dimensions

    Amir Dembo;Yuval Peres;Jay Rosen;Ofer Zeitouni

  • A minimum discrimination information approach for hidden Markov modeling

    Y. Ephraim;A. Dembo;L.R. Rabiner

  • Stochastic Interface Models

    Amir Dembo;Tadahisa Funaki

  • Statistical Composition of High-Scoring Segments from Molecular Sequences

    Samuel Karlin;Amir Dembo;Tsutomu Kawabata

  • Thick points for planar Brownian motion and the Erdős-Taylor conjecture on random walk

    Amir Dembo;Yuval Peres;Yuval Peres;Jay Rosen;Ofer Zeitouni

  • Nonlinear large deviations

    Sourav Chatterjee;Amir Dembo

  • Information inequalities and concentration of measure

    Amir Dembo

  • Factor models on locally tree-like graphs

    Amir Dembo;Andrea Montanari;Nike Sun

  • Source coding, large deviations and approximate pattern matching

    A. Dembo;L. Kontoyiannis

  • Large deviations: from empirical mean and measure to partial sums process

    Amir Dembo;Tim Zajic

Frequent Co-Authors

Ofer Zeitouni
Ofer Zeitouni Weizmann Institute of Science
Jay Rosen
Jay Rosen City University of New York
Samuel Karlin
Samuel Karlin Stanford University
Thomas Kailath
Thomas Kailath Stanford University
Qi-Man Shao
Qi-Man Shao Chinese University of Hong Kong
Alice Guionnet
Alice Guionnet École Normale Supérieure de Lyon
Eyal Lubetzky
Eyal Lubetzky Courant Institute of Mathematical Sciences
Gérard Ben Arous
Gérard Ben Arous Courant Institute of Mathematical Sciences
Allan Sly
Allan Sly Princeton University
David Tse
David Tse Stanford University

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