World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
39
Citations
5734
World Ranking
2226
National Ranking
938

Overview

Sergey G. Bobkov is affiliated with the University of Minnesota in the United States. Their research broadly falls within the field of Mathematics, with a focus on applied areas, statistical and probabilistic theory, and mathematical physics. The scientist's body of work reflects contributions in subfields such as Applied Mathematics, Statistics and Probability, Mathematical Physics, Statistical and Nonlinear Physics, and Numerical Analysis.

Their research topics encompass multiple specialized areas including point processes and geometric inequalities, random matrices and applications, mathematical inequalities and applications, mathematical approximation and integration, statistical mechanics and entropy, geometric analysis and curvature flows, as well as mathematical functions and polynomials.

Sergey G. Bobkov has published extensively in several venues. Frequent publication outlets include arXiv (Cornell University), the Electronic Journal of Probability, the Journal of Fourier Analysis and Applications, The Annals of Probability, and Theory of Probability and Its Applications.

Their recent papers illustrate a focus on probability theory and related mathematical techniques. Selected recent works include:

  • A simple Fourier analytic proof of the AKT optimal matching theorem, 2021, The Annals of Applied Probability
  • Normal approximation for weighted sums under a second-order correlation condition, 2020, The Annals of Probability
  • Transport Inequalities on Euclidean Spaces for Non-Euclidean Metrics, 2020, Journal of Fourier Analysis and Applications
  • Entropic CLT for Smoothed Convolutions and Associated Entropy Bounds, 2020, International Mathematics Research Notices
  • Strictly subgaussian probability distributions, 2024, Electronic Journal of Probability

Sergey G. Bobkov has collaborated frequently with several co-authors, including Friedrich Götze, Gennadiy Chistyakov, G. P. Chistyakov, Vladimir V. Ulyanov, and Michel Ledoux. These collaborations appear across a number of joint publications and contribute to investigations in probability and analysis.

In addition to research articles, Sergey G. Bobkov has authored books published by Springer Nature. One notable book is Concentration and Gaussian Approximation for Randomized Sums, published in 2023.

Best Publications

  • Exponential Integrability and Transportation Cost Related to Logarithmic Sobolev Inequalities

    S.G Bobkov;F Götze

  • Hypercontractivity of Hamilton-Jacobi equations

    Sergey G Bobkov;Ivan Gentil;Michel Ledoux

  • From Brunn-Minkowski to Brascamp-Lieb and to logarithmic Sobolev inequalities

    S. G. Bobkov;M. Ledoux

  • Isoperimetric and Analytic Inequalities for Log-Concave Probability Measures

    S. G. Bobkov

  • One-Dimensional Empirical Measures, Order Statistics, and Kantorovich Transport Distances

    Sergey Bobkov;Michel Ledoux

  • Poincaré’s inequalities and Talagrand’s concentration phenomenon for the exponential distribution

    S. Bobkov;M. Ledoux

  • Modified Logarithmic Sobolev Inequalities in Discrete Settings

    Sergey G. Bobkov;Prasad Tetali

  • An isoperimetric inequality on the discrete cube, and an elementary proof of the isoperimetric inequality in Gauss space

    S. G. Bobkov

  • Isoperimetric constants for product probability measures

    S. G. Bobkov;Christian Houdré

  • On Modified Logarithmic Sobolev Inequalities for Bernoulli and Poisson Measures

    S.G Bobkov;M Ledoux

  • Extremal properties of half-spaces for log-concave distributions

    S. Bobkov

  • Entropy Power Inequality for the Rényi Entropy

    Sergey G. Bobkov;Gennadiy P. Chistyakov

  • Weighted poincaré-type inequalities for cauchy and other convex measures

    Sergey G. Bobkov;Michel Ledoux

  • On Convex Bodies and Log-Concave Probability Measures with Unconditional Basis

    S. G. Bobkov;F. L. Nazarov

  • The Entropy Per Coordinate of a Random Vector is Highly Constrained Under Convexity Conditions

    S. Bobkov;M. Madiman

  • Reverse Brunn–Minkowski and reverse entropy power inequalities for convex measures

    Sergey Bobkov;Mokshay Madiman

  • Concentration of the information in data with log-concave distributions

    Sergey G. Bobkov;Mokshay Madiman

  • On concentration of distributions of random weighted sums

    Sergey G. Bobkov

  • On the Central Limit Property of Convex Bodies

    S. G. Bobkov;A. Koldobsky

  • Discrete isoperimetric and Poincaré-type inequalities

    SG Bobkov;Friedrich Götze

Frequent Co-Authors

Friedrich Götze
Friedrich Götze Bielefeld University
Michel Ledoux
Michel Ledoux Paul Sabatier University
Prasad Tetali
Prasad Tetali Carnegie Mellon University
Fedor Nazarov
Fedor Nazarov Kent State 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 students studying Mathematics in the USA, several online degree options can complement and expand career opportunities. Many choose to advance into business fields, making the easy online MBA programs attractive for those looking to combine analytical skills with management expertise.

For professionals aiming for higher executive roles, pursuing one of the cheapest DBA online degrees offers an affordable path to doctoral-level education, merging mathematics with business administration and leadership.

Mathematics graduates interested in finance might explore online graduate degrees closely aligned with their analytical strengths. The online masters in finance programs provide specialized knowledge while maintaining cost-effectiveness.

For those seeking to earn credentials quickly, the shortest online MBA programs can accelerate the timeline toward career advancement without compromising quality.

Choosing the right online degree depends on balancing affordability, duration, and career goals, especially for math students aiming to leverage quantitative skills in business, finance, or leadership roles.

Best Scientists Citing Sergey G. Bobkov

Trending Scientists

Recently Published Articles