M. P. Tokarev

778 total citations
40 papers, 595 citations indexed

About

M. P. Tokarev is a scholar working on Computational Mechanics, Aerospace Engineering and Mechanical Engineering. According to data from OpenAlex, M. P. Tokarev has authored 40 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computational Mechanics, 18 papers in Aerospace Engineering and 12 papers in Mechanical Engineering. Recurrent topics in M. P. Tokarev's work include Fluid Dynamics and Turbulent Flows (22 papers), Aerodynamics and Acoustics in Jet Flows (12 papers) and Combustion and flame dynamics (12 papers). M. P. Tokarev is often cited by papers focused on Fluid Dynamics and Turbulent Flows (22 papers), Aerodynamics and Acoustics in Jet Flows (12 papers) and Combustion and flame dynamics (12 papers). M. P. Tokarev collaborates with scholars based in Russia, Sweden and China. M. P. Tokarev's co-authors include Konstantin S. Pervunin, Д. М. Маркович, В. М. Дулин, S. S. Abdurakipov, Rustam Mullyadzhanov, С. В. Алексеенко, Olsi Rama, Roman Pevzner, Earle Holsapple and Robert Duncan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Medical Physics and Physics of Fluids.

In The Last Decade

M. P. Tokarev

39 papers receiving 579 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. P. Tokarev Russia 13 265 156 102 90 85 40 595
Émilie Marchandise Belgium 20 571 2.2× 88 0.6× 40 0.4× 72 0.8× 43 0.5× 36 926
Daniele E. Schiavazzi United States 15 109 0.4× 137 0.9× 45 0.4× 30 0.3× 108 1.3× 42 731
Runjie Wei China 15 411 1.6× 37 0.2× 171 1.7× 42 0.5× 28 0.3× 29 657
Jongmin Seo United States 11 313 1.2× 86 0.6× 75 0.7× 83 0.9× 32 0.4× 26 592
James M. Buick United Kingdom 18 1.0k 3.9× 340 2.2× 156 1.5× 233 2.6× 27 0.3× 66 1.5k
Shuangcheng Sun China 13 239 0.9× 93 0.6× 180 1.8× 131 1.5× 49 0.6× 38 553
Hyoungsu Baek United States 14 277 1.0× 38 0.2× 89 0.9× 71 0.8× 17 0.2× 32 644

Countries citing papers authored by M. P. Tokarev

Since Specialization
Citations

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

Fields of papers citing papers by M. P. Tokarev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. P. Tokarev. 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 M. P. Tokarev. The network helps show where M. P. Tokarev may publish in the future.

Co-authorship network of co-authors of M. P. Tokarev

This figure shows the co-authorship network connecting the top 25 collaborators of M. P. Tokarev. A scholar is included among the top collaborators of M. P. Tokarev 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 M. P. Tokarev. M. P. Tokarev 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.
Tokarev, M. P., et al.. (2023). Development of explicit algebraic models of Reynolds stresses for flows in channels using gene expression programming. SHILAP Revista de lepidopterología. 459. 2005–2005. 1 indexed citations
2.
Tokarev, M. P., et al.. (2023). Direct Numerical Simulation of the Peripheral and Internal Configurations of a Model Assembly of Fuel Elements. Journal of Applied and Industrial Mathematics. 17(2). 320–325. 4 indexed citations
3.
Mullyadzhanov, Rustam, et al.. (2021). Pressure evaluation from Lagrangian particle tracking data using a grid-free least-squares method. Measurement Science and Technology. 32(8). 84014–84014. 11 indexed citations
4.
Tokarev, M. P., et al.. (2021). Study of the influence of an external flow rate perturbation on the vortex structure and heat transfer in impinging jets. Journal of Physics Conference Series. 2057(1). 12099–12099.
5.
Tokarev, M. P., et al.. (2020). Deep Reinforcement Learning Control of Cylinder Flow Using Rotary Oscillations at Low Reynolds Number. Energies. 13(22). 5920–5920. 33 indexed citations
6.
Tokarev, M. P., et al.. (2019). An adaptive PID controller with an online auto-tuning by a pretrained neural network. Journal of Physics Conference Series. 1359(1). 12090–12090. 12 indexed citations
7.
Tokarev, M. P., et al.. (2019). Bubble patterns recognition using neural networks: Application to the analysis of a two-phase bubbly jet. International Journal of Multiphase Flow. 126. 103194–103194. 82 indexed citations
8.
Minelli, Guglielmo, et al.. (2019). Active Aerodynamic Control of a Separated Flow Using Streamwise Synthetic Jets. Flow Turbulence and Combustion. 103(4). 1039–1055. 8 indexed citations
9.
Алексеенко, С. В., et al.. (2018). Coherent structures in the near-field of swirling turbulent jets: A tomographic PIV study. International Journal of Heat and Fluid Flow. 70. 363–379. 30 indexed citations
10.
Tokarev, M. P., et al.. (2018). Monitoring of combustion regimes based on the visualization of the flame and machine learning. Journal of Physics Conference Series. 1128. 12138–12138. 7 indexed citations
11.
Tokarev, M. P., et al.. (2018). Flame state diagnostics using visualization and neural network analysis. AIP conference proceedings. 2027. 40067–40067. 5 indexed citations
12.
Tokarev, M. P., et al.. (2016). Image processing algorithms for a light-field camera and their application for optical flow diagnostics. Vyčislitelʹnye metody i programmirovanie. 224–233. 3 indexed citations
13.
Алексеенко, С. В., В. М. Дулин, M. P. Tokarev, & Д. М. Маркович. (2016). A swirling jet with vortex breakdown: three-dimensional coherent structures. Thermophysics and Aeromechanics. 23(2). 301–304. 8 indexed citations
14.
Roos, Håkan, M. P. Tokarev, Valery Chernoray, et al.. (2016). Displacement Forces in Stent Grafts: Influence of Diameter Variation and Curvature Asymmetry. European Journal of Vascular and Endovascular Surgery. 52(2). 150–156. 19 indexed citations
15.
Маркович, Д. М., et al.. (2016). Helical modes in low- and high-swirl jets measured by tomographic PIV. Journal of Turbulence. 17(7). 678–698. 22 indexed citations
16.
Tokarev, M. P., et al.. (2013). Tomographic PIV measurements in a swirling jet flow. 9(3). 372–372. 4 indexed citations
17.
Bilsky, A. V., et al.. (2013). A maximum entropy reconstruction technique for tomographic particle image velocimetry. Measurement Science and Technology. 24(4). 45301–45301. 11 indexed citations
18.
Алексеенко, С. В., et al.. (2011). Flow Structure of Swirling Turbulent Propane Flames. Flow Turbulence and Combustion. 87(4). 569–595. 41 indexed citations
19.
Дулин, В. М., et al.. (2010). Experimental Modeling of the Structure of a Reacting Twisted Flow Behind a Swirl Burner. Heat Transfer Research. 41(4). 445–463. 6 indexed citations
20.
Duric, Nebojsa, Peter J. Littrup, David H. Chambers, et al.. (2005). Development of ultrasound tomography for breast imaging: Technical assessment. Medical Physics. 32(5). 1375–1386. 129 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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