2026 Amir Dembo: Mathematics Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Mathematics	55	769	658	374	297	188	23145

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

8387
Citations
Large Deviation Techniques and Applications.

Erwin Bolthauser;Amir Dembo;Ofer Zeitouni

5881
Citations
Information theoretic inequalities

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

1127
Citations
Aging of spherical spin glasses

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

282
Citations
Spectral measure of large random Hankel, Markov and Toeplitz matrices

Włodzimierz Bryc;Amir Dembo;Tiefeng Jiang

272
Citations
Limit Distribution of Maximal Non-Aligned Two-Sequence Segmental Score

Amir Dembo;Samuel Karlin;Ofer Zeitouni

230
Citations
Ising models on locally tree-like graphs

Amir Dembo;Andrea Montanari

226
Citations
Parameter estimation of partially observed continuous time stochastic processes via the EM algorithm

A. Dembo;O. Zeitouni

204
Citations
Gibbs measures and phase transitions on sparse random graphs

Amir Dembo;Andrea Montanari

196
Citations
High-order absolutely stable neural networks

A. Dembo;O. Farotimi;T. Kailath

194
Citations
LIMIT DISTRIBUTIONS OF MAXIMAL SEGMENTAL SCORE AMONG MARKOV-DEPENDENT PARTIAL SUMS

Samuel Karlin;Amir Dembo

194
Citations
Cover times for Brownian motion and random walks in two dimensions

Amir Dembo;Yuval Peres;Jay Rosen;Ofer Zeitouni

189
Citations
A minimum discrimination information approach for hidden Markov modeling

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

177
Citations
Stochastic Interface Models

Amir Dembo;Tadahisa Funaki

172
Citations
Statistical Composition of High-Scoring Segments from Molecular Sequences

Samuel Karlin;Amir Dembo;Tsutomu Kawabata

155
Citations
Thick points for planar Brownian motion and the Erdős-Taylor conjecture on random walk

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

148
Citations
Nonlinear large deviations

Sourav Chatterjee;Amir Dembo

143
Citations
Information inequalities and concentration of measure

Amir Dembo

136
Citations
Factor models on locally tree-like graphs

Amir Dembo;Andrea Montanari;Nike Sun

129
Citations
Source coding, large deviations and approximate pattern matching

A. Dembo;L. Kontoyiannis

127
Citations
Large deviations: from empirical mean and measure to partial sums process

Amir Dembo;Tim Zajic

122
Citations

Frequent Co-Authors

Ofer Zeitouni Weizmann Institute of Science

Jay Rosen City University of New York

Samuel Karlin Stanford University

Thomas Kailath Stanford University

Qi-Man Shao Chinese University of Hong Kong

Alice Guionnet École Normale Supérieure de Lyon

Eyal Lubetzky Courant Institute of Mathematical Sciences

Gérard Ben Arous Courant Institute of Mathematical Sciences

Allan Sly Princeton University

David Tse Stanford University

External Links

Wikipedia of Amir Dembo Personal website of Amir Dembo Google Scholar page

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