E.V. Mikhalchenko

778 total citations
34 papers, 633 citations indexed

About

E.V. Mikhalchenko is a scholar working on Aerospace Engineering, Computational Mechanics and Safety, Risk, Reliability and Quality. According to data from OpenAlex, E.V. Mikhalchenko has authored 34 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Aerospace Engineering, 19 papers in Computational Mechanics and 12 papers in Safety, Risk, Reliability and Quality. Recurrent topics in E.V. Mikhalchenko's work include Combustion and Detonation Processes (24 papers), Combustion and flame dynamics (16 papers) and Fire dynamics and safety research (12 papers). E.V. Mikhalchenko is often cited by papers focused on Combustion and Detonation Processes (24 papers), Combustion and flame dynamics (16 papers) and Fire dynamics and safety research (12 papers). E.V. Mikhalchenko collaborates with scholars based in Russia, China and Tajikistan. E.V. Mikhalchenko's co-authors include В. Ф. Никитин, Л.И. Стамов, V.V. Tyurenkova, Н.Н. Смирнов, M.N. Smirnova, В. Б. Бетелин, А. Г. Кушниренко, Nickolay Smirnov, V. V. Azatyan and S. G. Moiseenko and has published in prestigious journals such as International Journal of Hydrogen Energy, Aerospace Science and Technology and Acta Astronautica.

In The Last Decade

E.V. Mikhalchenko

32 papers receiving 613 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
E.V. Mikhalchenko Russia 13 538 287 268 231 104 34 633
Shaye Yungster United States 15 616 1.1× 185 0.6× 383 1.4× 164 0.7× 125 1.2× 54 679
A. Koichi Hayashi Japan 13 608 1.1× 294 1.0× 254 0.9× 244 1.1× 134 1.3× 43 689
Т. В. Баженова Russia 11 432 0.8× 145 0.5× 329 1.2× 111 0.5× 63 0.6× 46 565
J. H. S. Lee Canada 18 790 1.5× 462 1.6× 215 0.8× 406 1.8× 243 2.3× 28 876
Dmitry Davidenko France 13 487 0.9× 218 0.8× 230 0.9× 242 1.0× 114 1.1× 36 578
Longting He France 11 514 1.0× 190 0.7× 365 1.4× 185 0.8× 45 0.4× 19 590
Thomas R. A. Bussing United States 14 573 1.1× 160 0.6× 289 1.1× 229 1.0× 177 1.7× 26 725
John W. Bennewitz United States 15 566 1.1× 243 0.8× 203 0.8× 283 1.2× 236 2.3× 48 688
Антон Хохлов Russia 3 261 0.5× 124 0.4× 235 0.9× 82 0.4× 34 0.3× 11 385
D. Desbordes France 17 1.1k 2.0× 627 2.2× 374 1.4× 495 2.1× 246 2.4× 46 1.1k

Countries citing papers authored by E.V. Mikhalchenko

Since Specialization
Citations

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

Fields of papers citing papers by E.V. Mikhalchenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E.V. Mikhalchenko

This figure shows the co-authorship network connecting the top 25 collaborators of E.V. Mikhalchenko. A scholar is included among the top collaborators of E.V. Mikhalchenko 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 E.V. Mikhalchenko. E.V. Mikhalchenko 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
1.
Смирнов, Н.Н., et al.. (2025). Chemical suppression of detonation in rich hydrogen-air mixtures. Acta Astronautica. 236. 588–598. 1 indexed citations
2.
Mikhalchenko, E.V.. (2025). Detonation stability in stratified layers. Acta Astronautica. 239. 713–721.
3.
Tyurenkova, V.V., et al.. (2025). Mathematical simulation of a droplet breakup under the effect of a laser pulse. Acta Astronautica. 229. 772–778. 1 indexed citations
4.
Mikhalchenko, E.V., et al.. (2024). The effect of spatial non-uniformity on multiple transient modes of detonation onset in a three-dimensional channel. Acta Astronautica. 225. 576–582. 1 indexed citations
5.
Mikhalchenko, E.V., et al.. (2024). Machine learning methods for modeling the kinetics of combustion in problems of space safety. Acta Astronautica. 225. 656–663. 1 indexed citations
6.
Смирнов, Н.Н., V. V. Azatyan, E.V. Mikhalchenko, et al.. (2024). Safety of using hydrogen: Suppression of detonation in hydrogen-air mixtures. Acta Astronautica. 224. 69–81. 6 indexed citations
7.
Wang, Yang, et al.. (2024). Numerical study on flow and combustion properties of oblique detonation engine in a wide speed range. Acta Astronautica. 226. 637–647. 4 indexed citations
8.
Смирнов, Н.Н., et al.. (2024). Modeling of microgravity conditions on earth in the study of multiphase flows. Acta Astronautica. 224. 449–457. 3 indexed citations
9.
Смирнов, Н.Н., V. V. Azatyan, В. Ф. Никитин, et al.. (2023). Control of detonation in hydrogen-air mixtures. International Journal of Hydrogen Energy. 49. 1315–1324. 12 indexed citations
10.
Смирнов, Н.Н., В. Ф. Никитин, Л.И. Стамов, et al.. (2023). Research of an oblique detonation wave in a limited area. Acta Astronautica. 215. 464–470. 9 indexed citations
11.
Никитин, В. Ф., E.V. Mikhalchenko, Л.И. Стамов, V.V. Tyurenkova, & Н.Н. Смирнов. (2023). Evolution of the cellular structure of detonation waves under the condition of non-uniform initiation. Acta Astronautica. 213. 156–167. 12 indexed citations
12.
Smirnov, Nickolay, В. Ф. Никитин, E.V. Mikhalchenko, & Л.И. Стамов. (2023). Modeling a Combustion Chamber of a Pulse Detonation Engine. Fire. 6(9). 335–335. 16 indexed citations
13.
Смирнов, Н.Н., В. Ф. Никитин, E.V. Mikhalchenko, Л.И. Стамов, & V.V. Tyurenkova. (2023). Modelling cellular structure of detonation waves in hydrogen-air mixtures. International Journal of Hydrogen Energy. 49. 495–509. 19 indexed citations
14.
Никитин, В. Ф., E.V. Mikhalchenko, Л.И. Стамов, Nickolay Smirnov, & V. V. Azatyan. (2023). Mathematical Modeling of the Hydrodynamic Instability and Chemical Inhibition of Detonation Waves in a Syngas–Air Mixture. Mathematics. 11(24). 4879–4879. 7 indexed citations
15.
Mikhalchenko, E.V.. (2022). INJECTED FUEL BURNING IN A COMBUSTION CHAMBER. Heat Transfer Research. 54(4). 1–10. 2 indexed citations
16.
Mikhalchenko, E.V., В. Ф. Никитин, Yu.G. Phylippov, & Л.И. Стамов. (2021). Numerical study of rotating detonation onset in engines. Shock Waves. 31(7). 763–776. 5 indexed citations
17.
Никитин, В. Ф., et al.. (2021). Approach to combustion calculation using neural network. Acta Astronautica. 194. 376–382. 22 indexed citations
18.
Бетелин, В. Б., et al.. (2020). Neural network approach to solve gas dynamics problems with chemical transformations. Acta Astronautica. 180. 58–65. 16 indexed citations
19.
Mikhalchenko, E.V., et al.. (2020). Visualization of processes in an engine with a rotating detonation wave. AIP conference proceedings. 2304. 20034–20034. 1 indexed citations
20.
Бетелин, В. Б., В. Ф. Никитин, & E.V. Mikhalchenko. (2020). 3D numerical modeling of a cylindrical RDE with an inner body extending out of the nozzle. Acta Astronautica. 176. 628–646. 45 indexed citations

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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