What is he best known for?
The fields of study he is best known for:
- 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.
His most cited work include:
- 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)
What are the main themes of his work throughout his whole career to date?
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.
He most often published in these fields:
- Combinatorics (24.24%)
- Discrete mathematics (19.39%)
- Applied mathematics (13.94%)
What were the highlights of his more recent work (between 2017-2021)?
- Statistical physics (13.33%)
- Discrete mathematics (19.39%)
- Mathematical physics (11.52%)
In recent papers he was focusing on the following fields of study:
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.
Between 2017 and 2021, his most popular works were:
- 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)
In his most recent research, the most cited papers focused on:
- 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.
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