A. V. Kashkovsky

485 citations
56 papers · 351 indexed · h-index 12
Topics
Gas Dynamics and Kinetic Theory (41 papers)Computational Fluid Dynamics and Aerodynamics (25 papers)Combustion and Detonation Processes (9 papers)
Partner nations
RussiaNetherlandsGermany

In The Last Decade

A. V. Kashkovsky

48 papers receiving 336 citations

Peers

A. V. Kashkovsky
Comparison fields: 5 of 32
  • Applied Mathematics 272
  • Aerospace Engineering 202
  • Computational Mechanics 184
  • Astronomy and Astrophysics 41
  • Materials Chemistry 35
Replace Bijiao He with:
Bijiao He China
H. Alsmeyer Germany
S. A. Zabelok Russia
Steven W. Lewis Australia
Frank Siebe Germany
Aaron T. Dufrene United States
М. И. Иванов Russia
Xiao-Yen Wang United States
Alexander Kuranov Poland
Andrea Passaro Italy
A. V. Kashkovsky relative to Bijiao He China Bijiao He's profile →
Citations per field
00.5×3.5×
Bijiao He · 1×
Citations per year

Countries citing papers authored by A. V. Kashkovsky

Since Specialization
Citations

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

Fields of papers citing papers by A. V. Kashkovsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. V. Kashkovsky. 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 A. V. Kashkovsky. The network helps show where A. V. Kashkovsky may publish in the future.

Co-authorship network of co-authors of A. V. Kashkovsky

This figure shows the co-authorship network connecting the top 25 collaborators of A. V. Kashkovsky. A scholar is included among the top collaborators of A. V. Kashkovsky 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 A. V. Kashkovsky. A. V. Kashkovsky 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 0
2 1
3 1
4 0
5 0
6 0
7 2
8 0
9 0
10 4
11 23
12 3
13 2
14 1
15 4
16 19
17 39
18
Prediction of Spacecraft Destruction during Uncontrolled Re-Entries
3
19
Statistical Simulation of High-Altitude Aerodynamic Problems
1
20
Rarefied numerical aerodynamic tools for reentry problems
2

About A. V. Kashkovsky

A. V. Kashkovsky is a scholar working on Applied Mathematics, Computational Mechanics and Aerospace Engineering, having authored 56 papers that have together received 351 indexed citations. Recurring topics across this work include Gas Dynamics and Kinetic Theory (41 papers), Computational Fluid Dynamics and Aerodynamics (25 papers) and Combustion and Detonation Processes (9 papers). The work is most often cited by research in Applied Mathematics (272 citations), Computational Mechanics (184 citations) and Aerospace Engineering (202 citations). A. V. Kashkovsky has collaborated with scholars based in Russia, Netherlands and Germany. Frequent co-authors include Ye. A. Bondar, М. С. Иванов, A. N. Kudryavtsev, H. Klinkrad, G. Markelov, B. Fritsche, D. V. Khotyanovsky, G. Koppenwallner, D. Giordano and Tamás Bányai. Their work appears in journals such as Physics of Fluids, Advances in Space Research and Acta Astronautica.

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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