М. С. Иванов

2.8k citations
137 papers · 2.1k indexed · h-index 24
Topics
Gas Dynamics and Kinetic Theory (99 papers)Computational Fluid Dynamics and Aerodynamics (58 papers)Fluid Dynamics and Turbulent Flows (24 papers)
Partner nations
RussiaUnited StatesJapan

In The Last Decade

М. С. Иванов

125 papers receiving 2.0k citations

Peers

М. С. Иванов
Comparison fields: 5 of 60
  • Applied Mathematics 1.7k
  • Computational Mechanics 1.3k
  • Aerospace Engineering 896
  • Electrical and Electronic Engineering 216
  • Atomic and Molecular Physics, and Optics 186
Replace M. A. Gallis with:
M. A. Gallis United States
R.S. Myong South Korea
David W. Bogdanoff United States
Manuel Torrilhon Germany
Graeme A. Bird United States
Jonathan Poggie United States
H. A. Hassan United States
Matthew MacLean United States
Roger L. Kimmel United States
Vincent Giovangigli∥ France
М. С. Иванов relative to M. A. Gallis United States M. A. Gallis's profile →
Citations per field
00.5×1.5×
M. A. Gallis · 1×
Citations per year

Countries citing papers authored by М. С. Иванов

Since Specialization
Citations

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

Fields of papers citing papers by М. С. Иванов

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by М. С. Иванов. 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 М. С. Иванов. The network helps show where М. С. Иванов may publish in the future.

Co-authorship network of co-authors of М. С. Иванов

This figure shows the co-authorship network connecting the top 25 collaborators of М. С. Иванов. A scholar is included among the top collaborators of М. С. Иванов 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 М. С. Иванов. М. С. Иванов 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 1
2 1
3 5
4 39
5 1
6 12
7 3
8 3
9 1
10 1
11 3
12 28
13 26
14 9
15 2
16
Statistical Simulation of High-Altitude Aerodynamic Problems
1
17 19
18 42
19
Rarefied numerical aerodynamic tools for reentry problems
2
20
Comparative analysis of algorithms of the direct statistical simulation method in rarefied gas dynamics
1

About М. С. Иванов

М. С. Иванов is a scholar working on Applied Mathematics, Computational Mechanics and Aerospace Engineering, having authored 137 papers that have together received 2.1k indexed citations. Recurring topics across this work include Gas Dynamics and Kinetic Theory (99 papers), Computational Fluid Dynamics and Aerodynamics (58 papers) and Fluid Dynamics and Turbulent Flows (24 papers). The work is most often cited by research in Applied Mathematics (1.7k citations), Computational Mechanics (1.3k citations) and Aerospace Engineering (896 citations). М. С. Иванов has collaborated with scholars based in Russia, United States and Japan. Frequent co-authors include Sergey Gimelshein, G. Markelov, Ye. A. Bondar, A. N. Kudryavtsev, D. V. Khotyanovsky, A. V. Kashkovsky, Alfred E. Beylich, G. Ben‐Dor, T. Elperin and Ingrid J. Wysong. Their work appears in journals such as Journal of Applied Physics, Journal of Fluid Mechanics and Journal of Computational Physics.

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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