Igor Shevchenko

599 total citations
45 papers, 328 citations indexed

About

Igor Shevchenko is a scholar working on Computational Mechanics, Mechanical Engineering and Oceanography. According to data from OpenAlex, Igor Shevchenko has authored 45 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computational Mechanics, 14 papers in Mechanical Engineering and 12 papers in Oceanography. Recurrent topics in Igor Shevchenko's work include Oceanographic and Atmospheric Processes (12 papers), Meteorological Phenomena and Simulations (11 papers) and Climate variability and models (11 papers). Igor Shevchenko is often cited by papers focused on Oceanographic and Atmospheric Processes (12 papers), Meteorological Phenomena and Simulations (11 papers) and Climate variability and models (11 papers). Igor Shevchenko collaborates with scholars based in Russia, United Kingdom and Austria. Igor Shevchenko's co-authors include Pavel Berloff, Wei Pan, Colin J. Cotter, Darryl D. Holm, Dan Crisan, Barbara Kaltenbacher, Barbara Wohlmuth, E. A. Ryzhov, Manfred Kaltenbacher and Vladimir Kindra and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Fluid Mechanics and Journal of Computational Physics.

In The Last Decade

Igor Shevchenko

43 papers receiving 311 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Igor Shevchenko Russia 10 142 136 124 115 32 45 328
Anikesh Pal India 10 112 0.8× 57 0.4× 63 0.5× 215 1.9× 7 0.2× 24 363
Jacques Blum France 9 182 1.3× 174 1.3× 187 1.5× 38 0.3× 6 0.2× 17 402
Mikito Furuichi Japan 10 36 0.3× 68 0.5× 55 0.4× 130 1.1× 40 1.3× 39 358
A. Özgüç Türkiye 20 86 0.6× 150 1.1× 45 0.4× 110 1.0× 171 5.3× 61 1.0k
Michele Buzzicotti Italy 11 103 0.7× 59 0.4× 80 0.6× 228 2.0× 23 0.7× 28 413
Stephan Stephany Brazil 11 46 0.3× 38 0.3× 75 0.6× 25 0.2× 13 0.4× 51 319
Yulin Pan United States 12 115 0.8× 220 1.6× 23 0.2× 47 0.4× 8 0.3× 49 410
Pedro Embid United States 10 126 0.9× 126 0.9× 40 0.3× 332 2.9× 3 0.1× 12 564
Alain Sei United States 10 60 0.4× 33 0.2× 74 0.6× 32 0.3× 9 0.3× 25 315
A. K. Alekseev Russia 9 49 0.3× 25 0.2× 18 0.1× 180 1.6× 23 0.7× 40 349

Countries citing papers authored by Igor Shevchenko

Since Specialization
Citations

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

Fields of papers citing papers by Igor Shevchenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Igor Shevchenko

This figure shows the co-authorship network connecting the top 25 collaborators of Igor Shevchenko. A scholar is included among the top collaborators of Igor Shevchenko 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 Igor Shevchenko. Igor Shevchenko 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.
Rogalev, Andrey, et al.. (2023). Investigation of Thermohydraulic Processes in Cooling Channels of a Blade for a High-Temperature Carbon Dioxide Turbine. Thermal Engineering. 70(10). 727–735. 1 indexed citations
2.
Kindra, Vladimir, et al.. (2022). Thermodynamic analysis of cycle arrangements of the coal-fired thermal power plants with carbon capture. Archives of Thermodynamics. 103–121. 4 indexed citations
3.
Rogalev, Andrey, et al.. (2022). Asymmetric Method of Heat Transfer Intensification in Radial Channels of Gas Turbine Blades. Inventions. 7(4). 117–117. 2 indexed citations
4.
Shevchenko, Igor, et al.. (2022). Precise grading and sorting of sunflower plant materials in industrial facilities. SHILAP Revista de lepidopterología. 23(2). 327–341. 1 indexed citations
5.
Shevchenko, Igor & Pavel Berloff. (2021). On a minimum set of equations for parameterisations in comprehensive ocean circulation models. arXiv (Cornell University). 5 indexed citations
6.
Shevchenko, Igor, et al.. (2021). On non-uniqueness of the mesoscale eddy diffusivity. Journal of Fluid Mechanics. 920. 13 indexed citations
7.
Berloff, Pavel, E. A. Ryzhov, & Igor Shevchenko. (2021). On dynamically unresolved oceanic mesoscale motions. Journal of Fluid Mechanics. 920. 14 indexed citations
8.
Shevchenko, Igor & Pavel Berloff. (2021). A method for preserving large-scale flow patterns in low-resolution ocean simulations. Ocean Modelling. 161. 101795–101795. 6 indexed citations
9.
Shevchenko, Igor, et al.. (2020). Improving the efficiency of the process of continuous flow mixing of bulk components. Eastern-European Journal of Enterprise Technologies. 6(1 (108)). 6–13. 3 indexed citations
10.
Kaltenbacher, Barbara & Igor Shevchenko. (2019). Well-posedness of the Westervelt equation with higher order absorbing boundary conditions. Journal of Mathematical Analysis and Applications. 479(2). 1595–1617. 4 indexed citations
11.
Shevchenko, Igor, et al.. (2019). Study of the combustion characteristics of endothermic fuel thermal decomposition products in a subsonic air flow. Journal of Physics Conference Series. 1399(4). 44091–44091. 3 indexed citations
12.
Shevchenko, Igor, et al.. (2018). Computer simulation of a small gas turbine ceramic blade. Journal of Physics Conference Series. 1111. 12045–12045. 1 indexed citations
13.
Kindra, Vladimir, et al.. (2018). Development and experimental study of the high efficient flow turbulators for heat transfer enhancement in heat exchangers. Journal of Physics Conference Series. 1128. 12024–12024. 2 indexed citations
14.
Shevchenko, Igor, et al.. (2017). Study of design and technology factors influencing gas turbine blade cooling. Journal of Physics Conference Series. 891. 12253–12253. 3 indexed citations
15.
Shevchenko, Igor, et al.. (2017). Research and development of asymmetrical heat transfer augmentation method in radial channels of blades for high temperature gas turbines. Journal of Physics Conference Series. 891. 12142–12142. 3 indexed citations
16.
Shevchenko, Igor, et al.. (2017). Multiple equilibria, bifurcations and selection scenarios in cosymmetric problem of thermal convection in porous medium. Physica D Nonlinear Phenomena. 361. 42–58. 6 indexed citations
17.
Shevchenko, Igor, et al.. (2016). On low-frequency variability of the midlatitude ocean gyres. Journal of Fluid Mechanics. 795. 423–442. 13 indexed citations
18.
Shevchenko, Igor & Pavel Berloff. (2015). Multi-layer quasi-geostrophic ocean dynamics in Eddy-resolving regimes. Ocean Modelling. 94. 1–14. 34 indexed citations
19.
Shevchenko, Igor, et al.. (2013). Selection of steady regimes of a one-parameter family in the problem of plane convective flow through a porous medium. Fluid Dynamics. 48(4). 523–532. 3 indexed citations
20.
Shevchenko, Igor, Manfred Kaltenbacher, & Barbara Wohlmuth. (2012). A multi‐time stepping integration method for the ultrasound heating problem. ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik. 92(11-12). 869–881. 9 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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