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D-Index & Metrics

Mathematics

D-Index
40
Citations
7918
World Ranking
2019
National Ranking
856

Overview

Sourav Chatterjee is affiliated with Stanford University in the United States. Their research primarily spans the field of mathematics, with contributions across several specialized subfields. These include mathematical physics, statistics and probability, condensed matter physics, artificial intelligence, and economics and econometrics.

Their body of work covers a range of topics, highlighting interests in stochastic processes and statistical mechanics, theoretical and computational physics, random matrices and applications, Markov chains and Monte Carlo methods, mathematical dynamics and fractals, statistical methods and inference, and advanced statistical methods and models.

Chatterjee has authored multiple papers in well-known academic venues. Recent publications include:

  • "Microestimates of wealth for all low- and middle-income countries," 2022, Proceedings of the National Academy of Sciences
  • "Micro-Estimates of Wealth for all Low- and Middle-Income Countries," 2021, arXiv (Cornell University)
  • "A simple measure of conditional dependence," 2021, The Annals of Statistics
  • "A phase transition for repeated averages," 2022, The Annals of Probability
  • "The Yang-Mills heat flow with random distributional initial data," 2023, Communications in Partial Differential Equations

Their frequent coauthors include Persi Diaconis, Sky Cao, Erik Bates, Trevor Hastie, and Robert Tibshirani.

Chatterjee's publication record shows a pattern of frequent contributions to several academic outlets, particularly:

  • arXiv (Cornell University)
  • The Annals of Probability
  • Communications in Mathematical Physics
  • IEEE Transactions on Information Theory
  • Random Structures and Algorithms

Best Publications

  • Spectral clustering and the high-dimensional stochastic blockmodel

    Karl Rohe;Sourav Chatterjee;Bin Yu

  • Matrix estimation by Universal Singular Value Thresholding

    Sourav Chatterjee

  • Estimating and understanding exponential random graph models

    Sourav Chatterjee;Persi Diaconis

  • Random graphs with a given degree sequence

    Sourav Chatterjee;Persi Diaconis;Allan Sly

  • The large deviation principle for the Erdős-Rényi random graph

    Sourav Chatterjee;S. R. S. Varadhan

  • MULTIVARIATE NORMAL APPROXIMATION USING EXCHANGEABLE PAIRS

    Sourav Chatterjee;Elizabeth Meckes

  • Fluctuations of eigenvalues and second order Poincaré inequalities

    Sourav Chatterjee

  • A New Coefficient of Correlation

    Sourav Chatterjee

  • A NEW METHOD OF NORMAL APPROXIMATION

    Sourav Chatterjee

  • A generalization of the Lindeberg principle

    Sourav Chatterjee

  • Stein’s method for concentration inequalities

    Sourav Chatterjee

  • Superconcentration and Related Topics

    Sourav Chatterjee

  • Nonnormal approximation by Stein’s method of exchangeable pairs with application to the Curie–Weiss model

    Sourav Chatterjee;Qi-Man Shao

  • Nonlinear large deviations

    Sourav Chatterjee;Amir Dembo

  • Concentration inequalities with exchangeable pairs

    Sourav Chatterjee

  • The sample size required in importance sampling

    Sourav Chatterjee;Persi Diaconis

  • Exchangeable pairs and Poisson approximation

    Sourav Chatterjee;Persi Diaconis;Elizabeth Meckes

  • A new perspective on least squares under convex constraint

    Sourav Chatterjee

  • A simple invariance theorem

    Sourav Chatterjee

  • Estimating and understanding exponential random graph models

    Sourav Chatterjee;Persi Diaconis

  • A simple measure of conditional dependence.

    Mona Azadkia;Sourav Chatterjee

  • Stein's Method of Exchangeable Pairs with Application to the Curie-Weiss Model

    Sourav Chatterjee;Qi-Man Shao

Frequent Co-Authors

Persi Diaconis
Persi Diaconis Stanford University
Allan Sly
Allan Sly Princeton University
Amir Dembo
Amir Dembo Stanford University
Qi-Man Shao
Qi-Man Shao Chinese University of Hong Kong
Bin Yu
Bin Yu University of California, Berkeley
Michel Ledoux
Michel Ledoux Paul Sabatier University
Kannan Soundararajan
Kannan Soundararajan Stanford University

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