Mikhail Shashkov

9.0k citations
153 papers · 6.7k indexed · 1 hit paper · h-index 47
Topics
Computational Fluid Dynamics and Aerodynamics (92 papers)Advanced Numerical Methods in Computational Mathematics (87 papers)Lattice Boltzmann Simulation Studies (20 papers)

In The Last Decade

Mikhail Shashkov

148 papers receiving 6.3k citations

Hit Papers

Mimetic finite difference method20132026201720212013100200300

Peers

Mikhail Shashkov
Comparison fields: 5 of 99
  • Computational Mechanics 5.9k
  • Numerical Analysis 952
  • Mechanics of Materials 936
  • Computational Theory and Mathematics 843
  • Applied Mathematics 802
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Countries citing papers authored by Mikhail Shashkov

Since Specialization
Citations

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

Fields of papers citing papers by Mikhail Shashkov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mikhail Shashkov

This figure shows the co-authorship network connecting the top 25 collaborators of Mikhail Shashkov. A scholar is included among the top collaborators of Mikhail Shashkov 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 Mikhail Shashkov. Mikhail Shashkov 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
#WorkIndexed citations
1 3
2
The discrete maximum principle for finite element approximations of anisotropic diffusion problems on arbitrary meshes
0
3 4
4 0
5 15
6 1
7 16
8 14
9 6
10 7
11
Arbitrary Lagrangian-Eulerian (ALE) methods in compressible fluid dynamics
1
12
Reference Jacobian Rezoning Strategy for Arbitrary Lagrangian - Eulerian Methods on Polyhedral Grids.
5
13
Multilevel Accelerated Optimization for Problems in Grid Generation.
2
14 26
15
Optimization of Surface Mesh Quality Using Local Parametrization.
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Support operator method for Laplace equation on unstructured triangular grid
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17
Optimization-Based Reference-Matrix Rezone Strategies for Arbitrary Lagrangian-Eulerian Methods on Unstructured Meshes.
3
18 19
19 145
20 32

About Mikhail Shashkov

Mikhail Shashkov is a scholar working on Computational Mechanics, Numerical Analysis and Computer Graphics and Computer-Aided Design, having authored 153 papers that have together received 6.7k indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (92 papers), Advanced Numerical Methods in Computational Mathematics (87 papers) and Lattice Boltzmann Simulation Studies (20 papers). The work is most often cited by research in Computational Mechanics (5.9k citations), Numerical Analysis (952 citations) and Computer Graphics and Computer-Aided Design (433 citations). Mikhail Shashkov has collaborated with scholars based in United States, Czechia and France. Frequent co-authors include Konstantin Lipnikov, James M. Hyman, E.J. Caramana, Stanly Steinberg, L.G. Margolin, Milan Kuchařík, P.P. Whalen, Franco Brezzi, Donald E. Burton and Hyung Taek Ahn. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and Computer Methods in Applied Mechanics and Engineering.

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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