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- Sourav Chatterjee

Discipline name
D-index
D-index (Discipline H-index) only includes papers and citation values for an examined
discipline in contrast to General H-index which accounts for publications across all
disciplines.
Citations
Publications
World Ranking
National Ranking

Mathematics
D-index
34
Citations
5,892
121
World Ranking
2012
National Ranking
861

- Statistics
- Mathematical analysis
- Algebra

His main research concerns Combinatorics, Discrete mathematics, Random graph, Applied mathematics and Stein's method. Sourav Chatterjee usually deals with Combinatorics and limits it to topics linked to Random variable and Interpolation, Spectral method and Distribution. His work on Coupon collector's problem as part of general Discrete mathematics research is frequently linked to Chen, bridging the gap between disciplines.

His studies deal with areas such as Sufficient statistic, Concentration of measure and Exponential function as well as Random graph. His study looks at the intersection of Applied mathematics and topics like Calculus with Bounding overwatch, Bounded function and Connection. His study explores the link between Probability theory and topics such as Central limit theorem that cross with problems in Random function.

- Spectral clustering and the high-dimensional stochastic blockmodel (569 citations)
- Matrix estimation by Universal Singular Value Thresholding (315 citations)
- Estimating and understanding exponential random graph models (263 citations)

The scientist’s investigation covers issues in Combinatorics, Discrete mathematics, Applied mathematics, Statistical physics and Large deviations theory. His Combinatorics study which covers Distribution that intersects with Type and Order. His work deals with themes such as Mathematical proof, Statistic and Random variable, which intersect with Discrete mathematics.

Sourav Chatterjee interconnects Upper and lower bounds, Spin glass and Gaussian in the investigation of issues within Statistical physics. Sourav Chatterjee has researched Gaussian in several fields, including Random matrix, Eigenvalues and eigenvectors and Pure mathematics. His research investigates the connection between Large deviations theory and topics such as Random graph that intersect with problems in Random regular graph and Concentration of measure.

- Combinatorics (24.24%)
- Discrete mathematics (19.39%)
- Applied mathematics (13.94%)

- Statistical physics (13.33%)
- Discrete mathematics (19.39%)
- Mathematical physics (11.52%)

His primary areas of investigation include Statistical physics, Discrete mathematics, Mathematical physics, Combinatorics and Measure. His Statistical physics research incorporates elements of Analytic function, Random matrix, Euclidean space, Spin glass and Scaling limit. His Random matrix research includes elements of Upper and lower bounds, Ising model and Logarithm.

His study in Discrete mathematics is interdisciplinary in nature, drawing from both Graph, Randomness, Matrix completion, Low-rank approximation and Sequence. His study in the fields of Real number under the domain of Combinatorics overlaps with other disciplines such as Fixed sequence. His Applied mathematics research is multidisciplinary, incorporating perspectives in Simple and Correlation.

- The sample size required in importance sampling (66 citations)
- The endpoint distribution of directed polymers (19 citations)
- Rigorous solution of strongly coupled $SO(N)$ lattice gauge theory in the large $N$ limit (16 citations)

- Statistics
- Mathematical analysis
- Algebra

Mathematical physics, Statistical physics, Complex system, Subsequential limit and Random variable are his primary areas of study. His Mathematical physics research incorporates themes from Scaling limit and Scaling. His Statistical physics research focuses on subjects like Random matrix, which are linked to Upper and lower bounds, First passage percolation, Spin glass, Percolation and Random assignment.

His work in Random variable addresses subjects such as Statistic, which are connected to disciplines such as Measure, Limit and Discrete mathematics. His research integrates issues of Fixed point, Large deviations theory, Distribution, Bounded function and Applied mathematics in his study of Measure. Sourav Chatterjee undertakes interdisciplinary study in the fields of Discrete mathematics and Importance sampling through his research.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Spectral clustering and the high-dimensional stochastic blockmodel

Karl Rohe;Sourav Chatterjee;Bin Yu.

Annals of Statistics **(2011)**

899 Citations

Spectral clustering and the high-dimensional stochastic blockmodel

Karl Rohe;Sourav Chatterjee;Bin Yu.

Annals of Statistics **(2011)**

899 Citations

Matrix estimation by Universal Singular Value Thresholding

Sourav Chatterjee.

Annals of Statistics **(2015)**

461 Citations

Matrix estimation by Universal Singular Value Thresholding

Sourav Chatterjee.

Annals of Statistics **(2015)**

461 Citations

Estimating and understanding exponential random graph models

Sourav Chatterjee;Persi Diaconis.

Annals of Statistics **(2013)**

361 Citations

Estimating and understanding exponential random graph models

Sourav Chatterjee;Persi Diaconis.

Annals of Statistics **(2013)**

361 Citations

Random graphs with a given degree sequence

Sourav Chatterjee;Persi Diaconis;Allan Sly.

Annals of Applied Probability **(2011)**

251 Citations

Random graphs with a given degree sequence

Sourav Chatterjee;Persi Diaconis;Allan Sly.

Annals of Applied Probability **(2011)**

251 Citations

MULTIVARIATE NORMAL APPROXIMATION USING EXCHANGEABLE PAIRS

Sourav Chatterjee;Elizabeth Meckes.

arXiv: Probability **(2008)**

224 Citations

MULTIVARIATE NORMAL APPROXIMATION USING EXCHANGEABLE PAIRS

Sourav Chatterjee;Elizabeth Meckes.

arXiv: Probability **(2008)**

224 Citations

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