Van H. Vu

3.6k citations
70 papers · 1.7k indexed · 1 hit paper · h-index 25

Van H. Vu

67 papers receiving 1.5k citations

Hit Papers

Additive Combinatorics3652006202620122019100200300

Peers

Van H. Vu
Comparison fields: 5 of 88
  • Discrete Mathematics and Combinatorics 883
  • Geometry and Topology 519
  • Computational Theory and Mathematics 652
  • Statistics and Probability 332
  • Mathematical Physics 347
Replace Vera T. Sós with:
Vera T. Sós Hungary
Jeff Kahn United States
Miklós Simonovits Hungary
Thomas Zasĺavsky United States
Alexander Barvinok United States
József Balogh United States
Sergeĭ Konyagin Russia
Benny Sudakov United States
R. Wilson United States
József Beck United States
Van H. Vu relative to Vera T. Sós Hungary Vera T. Sós's profile →
Citations per field
00.5×1.5×2.2×
Vera T. Sós · 1×
Citations per year

Countries citing papers authored by Van H. Vu

Since Specialization
Citations

This map shows the geographic impact of Van H. 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 H. 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 H. Vu more than expected).

Fields of papers citing papers by Van H. Vu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Van H. 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 H. Vu. The network helps show where Van H. Vu may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Van H. Vu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Van H. Vu Line = papers co-authored together Van H. Vu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20110
3 200946
4 20095
5 200814
6 200851
7 200810
8 20072
9 20050
10 200429
11 20032
12 20036
13 200262
14 20028
15 200111
16 200110
17 200141
18 200162
19 200010
20
On the Infeasibility of Training Neural Networks with Small Squared Errors
19978

About Van H. Vu

Van H. Vu is a scholar working on Discrete Mathematics and Combinatorics, Geometry and Topology, Algebra and Number Theory, Computational Theory and Mathematics and Computer Graphics and Computer-Aided Design, having authored 70 papers that have together received 1.7k indexed citations. Recurring topics across this work include Limits and Structures in Graph Theory (37 papers), Advanced Graph Theory Research (30 papers), Graph theory and applications (17 papers), graph theory and CDMA systems (10 papers), Analytic Number Theory Research (9 papers), Point processes and geometric inequalities (8 papers), Random Matrices and Applications (7 papers) and Graph Labeling and Dimension Problems (7 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (883 citations), Geometry and Topology (519 citations), Computational Theory and Mathematics (652 citations), Statistics and Probability (332 citations) and Mathematical Physics (347 citations). Van H. Vu has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Terence Tao, Jeong Han Kim, Benny Sudakov, Noga Alon, Michael Krivelevich, Michael Krivelevich, Endre Szemerédi, Ke Wang, Nicholas Wormald and Jean Bourgain. Their work appears in journals such as Random Structures and Algorithms, COMBINATORICA, Combinatorics Probability Computing, Journal of Combinatorial Theory Series A and Journal of Graph 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.

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