2026 Davar Khoshnevisan: Mathematics Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Mathematics	31	3361	3001	1319	1102	221	3666

Research.com Recognitions

2020 - Fellow of the American Mathematical Society For contributions to probability theory, in particular to probabilistic potential theory, random fields, random fractals and stochastic partial differential equations.

Overview

Davar Khoshnevisan is affiliated with the University of Utah in the United States. Their research primarily focuses on probability theory, stochastic processes, and mathematical modeling related to financial applications and statistical mechanics.

Their work spans multiple domains, including:

Mathematics
Economics, Econometrics and Finance

Within these broad fields, they have specialized in several subfields such as:

Finance
Mathematical Physics
Computational Theory and Mathematics
Condensed Matter Physics
Applied Mathematics

Khoshnevisan's research topics cover a range of areas, notably:

Stochastic processes and financial applications
Stochastic processes and statistical mechanics
Advanced Mathematical Modeling in Engineering
Financial Risk and Volatility Modeling
Theoretical and Computational Physics
Geometric Analysis and Curvature Flows
Random Matrices and Applications

They have contributed significantly to the literature on stochastic partial differential equations, spatial ergodicity, and central limit theorems. Selected recent papers include:

Spatial ergodicity and central limit theorems for parabolic Anderson model with delta initial condition in dimension d ≥ 1, 2021, SIAM Journal on Mathematical Analysis
Spatial ergodicity for SPDEs via Poincaré-type inequalities, 2021, Electronic Journal of Probability
Central limit theorems for spatial averages of the stochastic heat equation via Malliavin-Stein's method, 2021, Stochastic Partial Differential Equations Analysis and Computations
Central limit theorems for parabolic stochastic partial differential equations, 2022, Annales de l Institut Henri Poincaré Probabilités et Statistiques
Spatial ergodicity and central limit theorems for parabolic Anderson model with delta initial condition, 2021, Journal of Functional Analysis

Khoshnevisan frequently collaborates with several researchers, including:

David Nualart
Fei Pu
Kunwoo Kim
Carl Mueller
Le Chen

Their publications have appeared predominantly in venues such as:

arXiv (Cornell University)
Electronic Journal of Probability
Annales de l Institut Henri Poincaré Probabilités et Statistiques
Stochastic Partial Differential Equations Analysis and Computations
Journal of Functional Analysis

In 2020, Khoshnevisan was named a Fellow of the American Mathematical Society for contributions to probability theory, particularly in probabilistic potential theory, random fields, random fractals, and stochastic partial differential equations.

Best Publications

Multiparameter Processes: An Introduction to Random Fields

Davar Khoshnevisan

362
Citations
Analysis Of Stochastic Partial Differential Equations

Davar Khoshnevisan

229
Citations
A Minicourse on Stochastic Partial Differential Equations

Robert C. Dalang;Davar Khoshnevisan;Carl Mueller;David Nualart

205
Citations
Intermittence and nonlinear parabolic stochastic partial differential equations

Mohammud Foondun;Davar Khoshnevisan

157
Citations
Hitting probabilities for systems of non-linear stochastic heat equations with additive noise

Robert C. Dalang;Davar Khoshnevisan;Eulalia Nualart

118
Citations
Limsup Random Fractals

Davar Khoshnevisan;Yuval Peres;Yimin Xiao

90
Citations
Brownian Sheet and Capacity

Davar Khoshnevisan;Zhan Shi

85
Citations
On the stochastic heat equation with spatially-colored random forcing

Mohammud Foondun;Davar Khoshnevisan

77
Citations
Hitting probabilities for systems of non-linear stochastic heat equations with multiplicative noise

Robert C. Dalang;Davar Khoshnevisan;Eulalia Nualart

73
Citations
On the chaotic character of the stochastic heat equation, before the onset of intermitttency

Daniel Conus;Mathew Joseph;Davar Khoshnevisan

73
Citations
Measuring the range of an additive Lévy process

Davar Khoshnevisan;Yimin Xiao;Yuquan Zhong

71
Citations
Lévy processes: Capacity and Hausdorff dimension

Davar Khoshnevisan;Yimin Xiao

71
Citations
Spatial ergodicity for SPDEs via Poincaré-type inequalities

Unknown

71
Citations
A law of the iterated logarithm for stable processes in random scenery

Davar Khoshnevisan;Thomas M. Lewis

70
Citations
Level sets of additive Lévy processes

Davar Khoshnevisan;Yimin Xiao

65
Citations
On the existence and position of the farthest peaks of a family of stochastic heat and wave equations

Daniel Conus;Davar Khoshnevisan

65
Citations
BROWNIAN MOTION IN A BROWNIAN CRACK

Krzysztof Burdzy;Davar Khoshnevisan

64
Citations
Chung's law for integrated brownian motion

Davar Khoshnevisan;Zhan Shi

64
Citations
Stochastic Calculus for Brownian Motion on a Brownian Fracture

Davar Khoshnevisan;Thomas M. Lewis

64
Citations
Local times of additive Lévy processes

Davar Khoshnevisan;Yimin Xiao;Yuquan Zhong

63
Citations
Intersection Local Times and Tanaka Formulas

Richard F. Bass;Davar Khoshnevisan

58
Citations
Intermittency and multifractality: A case study via parabolic stochastic PDEs

Davar Khoshnevisan;Kunwoo Kim;Yimin Xiao

56
Citations
Chung's law of the iterated logarithm for iterated brownian motion

Davar Khoshnevisan;Thomas M. Lewis

53
Citations

Frequent Co-Authors

Yimin Xiao Michigan State University

David Nualart University of Kansas

Richard F. Bass University of Connecticut

Lajos Horváth University of Utah

Krzysztof Burdzy University of Washington

René L. Schilling TU Dresden

Robin Pemantle University of Pennsylvania

Tusheng Zhang University of Manchester

Ričardas Zitikis University of Western Ontario

Marc Yor Sorbonne University

External Links

Personal website of Davar Khoshnevisan

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