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
57
Citations
10,299
177
World Ranking
498
National Ranking
266

Engineering and Technology
D-index
57
Citations
9,966
139
World Ranking
1316
National Ranking
526

2013 - Fellow of the American Mathematical Society

2008 - George Pólya Prize

2002 - Fellow of Alfred P. Sloan Foundation

- Combinatorics
- Algebra
- Discrete mathematics

His primary areas of study are Combinatorics, Discrete mathematics, Random matrix, Random graph and Eigenvalues and eigenvectors. His Combinatorics research includes themes of Matrix, Upper and lower bounds, Random variable and Singularity. As a member of one scientific family, Van Vu mostly works in the field of Discrete mathematics, focusing on Random element and, on occasion, Invertible matrix and Fair coin.

Van Vu brings together Random matrix and Universality to produce work in his papers. He interconnects Random regular graph, Degree, Areas of mathematics, Combinatorial number theory and Lipschitz continuity in the investigation of issues within Random graph. Van Vu focuses mostly in the field of Eigenvalues and eigenvectors, narrowing it down to topics relating to Power law and, in certain cases, Adjacency matrix.

- Spectra of random graphs with given expected degrees (400 citations)
- Random matrices: Universality of local eigenvalue statistics (370 citations)
- Random matrices: Universality of ESDs and the circular law (310 citations)

Van Vu focuses on Combinatorics, Discrete mathematics, Random matrix, Random variable and Eigenvalues and eigenvectors. Van Vu has included themes like Matrix and Upper and lower bounds in his Combinatorics study. Polytope is closely connected to Central limit theorem in his research, which is encompassed under the umbrella topic of Discrete mathematics.

His studies deal with areas such as Singular value, Hermitian matrix and Zero as well as Random matrix. The Random variable study which covers Inverse that intersects with Littlewood–Offord problem. His work deals with themes such as Randomness, Symmetric matrix, Spectrum and Mathematical physics, which intersect with Eigenvalues and eigenvectors.

- Combinatorics (69.77%)
- Discrete mathematics (44.65%)
- Random matrix (28.84%)

- Combinatorics (69.77%)
- Random matrix (28.84%)
- Discrete mathematics (44.65%)

His primary scientific interests are in Combinatorics, Random matrix, Discrete mathematics, Random variable and Pure mathematics. The various areas that Van Vu examines in his Combinatorics study include Arbitrarily large, Bounded function and Torsion. His Random matrix research includes elements of Singular value, Matrix and Multivariate random variable.

His study on Random graph is often connected to Circular law as part of broader study in Discrete mathematics. His Random graph research focuses on Adjacency matrix and how it relates to Graph isomorphism problem and Random regular graph. His Pure mathematics study combines topics from a wide range of disciplines, such as Random polynomials and Real roots.

- Random Perturbation of Low Rank Matrices: Improving Classical Bounds (53 citations)
- Eigenvectors of random matrices (50 citations)
- On the number of real roots of random polynomials (41 citations)

- Combinatorics
- Algebra
- Mathematical analysis

Van Vu mainly focuses on Combinatorics, Random matrix, Discrete mathematics, Random polynomials and Pure mathematics. In the subject of general Combinatorics, his work in Binary logarithm and Abelian group is often linked to Optimal density, thereby combining diverse domains of study. Eigenvalues and eigenvectors covers Van Vu research in Random matrix.

Van Vu works in the field of Discrete mathematics, focusing on Random graph in particular. His Random polynomials study also includes

- Real roots which connect with Complex number,
- Random graph theory that intertwine with fields like Random variable. His Pure mathematics research is multidisciplinary, incorporating elements of Singular value and Matrix perturbation.

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.

The Spectra of Random Graphs with Given Expected Degrees

Fan R. K. Chung;Linyuan Lu;Van H. Vu.

Internet Mathematics **(2004)**

729 Citations

Spectra of random graphs with given expected degrees

Fan Chung;Linyuan Lu;Van Vu.

Proceedings of the National Academy of Sciences of the United States of America **(2003)**

623 Citations

Random matrices: Universality of local eigenvalue statistics

Terence Tao;Van H. Vu.

Acta Mathematica **(2011)**

445 Citations

Random matrices: Universality of ESDs and the circular law

Terence Tao;Van H. Vu;Manjunath Krishnapur.

Annals of Probability **(2010)**

421 Citations

Spectral norm of random matrices

Van H. Vu.

Combinatorica **(2007)**

379 Citations

Random Matrices: Universality of Local Eigenvalue Statistics up to the Edge

Terence Tao;Van Vu.

Communications in Mathematical Physics **(2010)**

277 Citations

Inverse Littlewood-Offord theorems and the condition number of random discrete matrices

Terence Tao;Van H. Vu.

Annals of Mathematics **(2009)**

229 Citations

Concentration of Multivariate Polynomials and Its Applications

Jeong Han Kim;Van H. Vu.

Combinatorica **(2000)**

207 Citations

Eigenvalues of Random Power law Graphs

Fan Chung;Linyuan Lu;Van Vu.

Annals of Combinatorics **(2003)**

206 Citations

On the singularity probability of random Bernoulli matrices

Terence Tao;Van H. Vu.

Journal of the American Mathematical Society **(2007)**

197 Citations

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