Vlad Vicol

2.6k total citations
49 papers, 1.2k citations indexed

About

Vlad Vicol is a scholar working on Applied Mathematics, Mathematical Physics and Computational Mechanics. According to data from OpenAlex, Vlad Vicol has authored 49 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Applied Mathematics, 26 papers in Mathematical Physics and 23 papers in Computational Mechanics. Recurrent topics in Vlad Vicol's work include Navier-Stokes equation solutions (41 papers), Advanced Mathematical Physics Problems (21 papers) and Fluid Dynamics and Turbulent Flows (15 papers). Vlad Vicol is often cited by papers focused on Navier-Stokes equation solutions (41 papers), Advanced Mathematical Physics Problems (21 papers) and Fluid Dynamics and Turbulent Flows (15 papers). Vlad Vicol collaborates with scholars based in United States, United Arab Emirates and France. Vlad Vicol's co-authors include Igor Kukavica, Peter Constantin, Nathan Glatt-Holtz, Susan Friedlander, Tristan Buckmaster, Mihaela Ignatova, Steve Shkoller, Philip Isett, Nader Masmoudi and Tak Kwong Wong and has published in prestigious journals such as SHILAP Revista de lepidopterología, Communications in Mathematical Physics and Communications on Pure and Applied Mathematics.

In The Last Decade

Vlad Vicol

48 papers receiving 1.1k citations

Peers

Vlad Vicol
Comparison fields: 5 of 38
  • Applied Mathematics 1.0k
  • Mathematical Physics 615
  • Computational Mechanics 510
  • Control and Systems Engineering 305
  • Computational Theory and Mathematics 188
Replace Dragoş Iftimie with:
Dragoş Iftimie France
László Székelyhidi Germany
Stefano Bianchini Italy
Alexey Cheskidov United States
Evgeny Yu. Panov Russia
Chongsheng Cao United States
Diego Córdoba Spain
Evelyn Lunasin United States
Anna L. Mazzucato United States
Chongchun Zeng United States
Dragoş Iftimie France View profile →
Citations per field, relative to Vlad Vicol
Vlad Vicol · 1×
Citations per year, relative to Vlad Vicol
Vlad Vicol · 1×

Countries citing papers authored by Vlad Vicol

Since Specialization
Citations

This map shows the geographic impact of Vlad Vicol'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 Vlad Vicol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vlad Vicol more than expected).

Fields of papers citing papers by Vlad Vicol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vlad Vicol. 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 Vlad Vicol. The network helps show where Vlad Vicol may publish in the future.

Co-authorship network of co-authors of Vlad Vicol

This figure shows the co-authorship network connecting the top 25 collaborators of Vlad Vicol. A scholar is included among the top collaborators of Vlad Vicol based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vlad Vicol. Vlad Vicol is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 5
4 4
5 7
6 41
7 31
8 26
9 10
10 38
11 4
12 15
13 23
14
Inviscid Limits for a Stochastically Forced Shell Model of Turbulent Flow
7
15 34
16 17
17 54
18 11
19 43
20
A Combinatorial Classification of Postsingularly Preperiodic Complex Exponential Maps
2

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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