Van Vu
-
- Advanced Combinatorial Mathematics 23
- Limits and Structures in Graph Theory 12
- Statistics and Probability top 0.2%
- Random Matrices and Applications 38
- Mathematical Physics top 0.5%
- Advanced Algebra and Geometry 18
- Stochastic processes and statistical mechanics 10
- Geometry and Topology top 1%
- Graph theory and applications 11
- Geometry and complex manifolds 7
- Computational Mathematics top 5%
-
- Point processes and geometric inequalities 10
- Co-authors
- Terence TaoLinyuan LüFan ChungManjunath KrishnapurImre BárányHoi H. NguyenKe WangSean O’Rourke
- Journals
- The Annals of Probability (6 papers)Advances in Mathematics (6 papers)Random Structures and Algorithms (5 papers)
- Partner nations
- United StatesVietnamNetherlands
In The Last Decade
Van Vu
67 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 139
- Discrete Mathematics and Combinatorics 742
- Statistics and Probability 1.2k
- Mathematical Physics 946
- Geometry and Topology 557
- Computational Mathematics 22
Countries citing papers authored by Van Vu
This map shows the geographic impact of Van Vu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Van Vu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Van Vu more than expected).
Fields of papers citing papers by Van Vu
This network shows the impact of papers produced by Van Vu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Van Vu. The network helps show where Van Vu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Van Vu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 10 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 68 | |
| 8 | 2018 | 78 | |
| 9 | Sumfree sets in groups | 2016 | 1 |
| 10 | Modern aspects of random matrix theory : AMS Short Course, Random Matrices, January 6-7, 2013, San Diego, California | 2014 | 2 |
| 11 | The spectrum of random kernel matrices | 2012 | 3 |
| 12 | Random matrices: Universality of eigenvectors | 2011 | 1 |
| 13 | 2011 | 34 | |
| 14 | 2010 | 38 | |
| 15 | 2008 | 18 | |
| 16 | 2008 | 13 | |
| 17 | 2007 | 70 | |
| 18 | 2006 | 19 | |
| 19 | 2005 | 24 | |
| 20 | 2005 | 28 |
About Van Vu
Van Vu is a scholar working on Discrete Mathematics and Combinatorics, Statistics and Probability, Mathematical Physics, Geometry and Topology and Computational Mathematics, having authored 73 papers that have together received 2.6k indexed citations. Recurring topics across this work include Random Matrices and Applications (38 papers), Advanced Combinatorial Mathematics (23 papers), Advanced Algebra and Geometry (18 papers), Limits and Structures in Graph Theory (12 papers), Graph theory and applications (11 papers), Point processes and geometric inequalities (10 papers), Stochastic processes and statistical mechanics (10 papers) and Geometry and complex manifolds (7 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (742 citations), Statistics and Probability (1.2k citations), Mathematical Physics (946 citations), Geometry and Topology (557 citations) and Computational Mathematics (22 citations). Van Vu has collaborated with scholars based in United States, Vietnam and Netherlands. Frequent co-authors include Terence Tao, Linyuan Lü, Fan Chung, Manjunath Krishnapur, Imre Bárány, Hoi H. Nguyen, Ke Wang, Sean O’Rourke, Endre Szemerédi and Kevin Costello. Their work appears in journals such as The Annals of Probability, Advances in Mathematics, Random Structures and Algorithms, Random Matrices Theory and Application and IEEE Transactions on Information Theory.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.