Ilya Peshkov

1.1k total citations
37 papers, 690 citations indexed

About

Ilya Peshkov is a scholar working on Computational Mechanics, Applied Mathematics and Biomedical Engineering. According to data from OpenAlex, Ilya Peshkov has authored 37 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computational Mechanics, 9 papers in Applied Mathematics and 8 papers in Biomedical Engineering. Recurrent topics in Ilya Peshkov's work include Computational Fluid Dynamics and Aerodynamics (20 papers), Fluid Dynamics and Turbulent Flows (11 papers) and Advanced Numerical Methods in Computational Mathematics (10 papers). Ilya Peshkov is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (20 papers), Fluid Dynamics and Turbulent Flows (11 papers) and Advanced Numerical Methods in Computational Mathematics (10 papers). Ilya Peshkov collaborates with scholars based in Italy, Russia and France. Ilya Peshkov's co-authors include Evgeniy Romenski, Michael Dumbser, Olindo Zanotti, С. К. Годунов, Saray Busto, Walter Boscheri, Sergey Gavrilyuk, Galina Reshetova, Raphaël Loubère and Michal Pavelka and has published in prestigious journals such as Journal of Computational Physics, Physica D Nonlinear Phenomena and Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences.

In The Last Decade

Ilya Peshkov

33 papers receiving 646 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ilya Peshkov Italy 14 528 198 91 80 68 37 690
Nicolas Favrie France 16 621 1.2× 182 0.9× 160 1.8× 141 1.8× 54 0.8× 35 817
Evgeniy Romenski Russia 20 819 1.6× 345 1.7× 138 1.5× 142 1.8× 103 1.5× 42 1.1k
E. I. Romenskiî Russia 8 276 0.5× 124 0.6× 129 1.4× 78 1.0× 58 0.9× 19 472
Maurizio Tavelli Italy 15 524 1.0× 122 0.6× 42 0.5× 21 0.3× 47 0.7× 27 614
Walter Boscheri Italy 23 1.1k 2.1× 364 1.8× 59 0.6× 43 0.5× 11 0.2× 61 1.3k
A. A. Frolova Russia 12 387 0.7× 423 2.1× 56 0.6× 21 0.3× 56 0.8× 48 583
Wenlong Dai United States 13 538 1.0× 281 1.4× 110 1.2× 23 0.3× 9 0.1× 27 879
Vijaya Shankar United States 13 346 0.7× 106 0.5× 51 0.6× 35 0.4× 19 0.3× 48 663
P. A. Blythe United States 15 342 0.6× 149 0.8× 55 0.6× 188 2.4× 24 0.4× 40 532
Jinhao Xin United States 4 349 0.7× 99 0.5× 20 0.2× 46 0.6× 7 0.1× 6 407

Countries citing papers authored by Ilya Peshkov

Since Specialization
Citations

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

Fields of papers citing papers by Ilya Peshkov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ilya Peshkov

This figure shows the co-authorship network connecting the top 25 collaborators of Ilya Peshkov. A scholar is included among the top collaborators of Ilya Peshkov 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 Ilya Peshkov. Ilya Peshkov 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.
Peshkov, Ilya, et al.. (2025). First-order hyperbolic formulation of the teleparallel gravity theory. Physical review. D. 112(8).
2.
Peshkov, Ilya, Evgeniy Romenski, & Michal Pavelka. (2025). Nonequilibrium model for compressible two-phase two-pressure flows with surface tension. Continuum Mechanics and Thermodynamics. 37(5).
3.
Dumbser, Michael, et al.. (2025). Variational derivation and compatible discretizations of the Maxwell-GLM system. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 481(2321). 2 indexed citations
4.
Peshkov, Ilya, et al.. (2024). Semi-implicit quasi-Lagrangian Voronoi approximation for compressible viscous fluid flows. Computers & Fluids. 289. 106530–106530.
5.
Peshkov, Ilya, et al.. (2024). Semi‐implicit Lagrangian Voronoi approximation for the incompressible Navier–Stokes equations. International Journal for Numerical Methods in Fluids. 97(1). 88–115. 3 indexed citations
6.
Ferrari, Davide, Ilya Peshkov, Evgeniy Romenski, & Michael Dumbser. (2024). A unified HTC multiphase model of continuum mechanics. Journal of Computational Physics. 521. 113553–113553. 3 indexed citations
7.
8.
Pavelka, Michal, et al.. (2024). Comparison of the symmetric hyperbolic thermodynamically compatible framework with Hamiltonian mechanics of binary mixtures. Continuum Mechanics and Thermodynamics. 36(3). 539–559. 1 indexed citations
9.
Lukáčová–Medvid’ová, Mária, et al.. (2023). An implicit-explicit solver for a two-fluid single-temperature model. Journal of Computational Physics. 498. 112696–112696. 2 indexed citations
10.
Dumbser, Michael, Saray Busto, M. Elena Vázquez-Cendón, & Ilya Peshkov. (2023). Preface for the special issue “Hyperbolic PDE in computational physics: Advanced mathematical models and structure-preserving numerics”. Applied Mathematics and Computation. 450. 127994–127994.
11.
12.
Peshkov, Ilya, et al.. (2022). Unified description of fluids and solids in Smoothed Particle Hydrodynamics. Applied Mathematics and Computation. 439. 127579–127579. 5 indexed citations
13.
Gabriel, Alice‐Agnes, Duo Li, Maurizio Tavelli, et al.. (2021). A unified first-order hyperbolic model for nonlinear dynamic rupture processes in diffuse fracture zones. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 379(2196). 20200130–20200130. 27 indexed citations
14.
Romenski, Evgeniy, Galina Reshetova, & Ilya Peshkov. (2021). Thermodynamically compatible hyperbolic model of a compressible multiphase flow in a deformable porous medium and its application to wavefields modeling. AIP conference proceedings. 2448. 20019–20019. 3 indexed citations
15.
Peshkov, Ilya, et al.. (2021). Simulation of non-Newtonian viscoplastic flows with a unified first order hyperbolic model and a structure-preserving semi-implicit scheme. Computers & Fluids. 224. 104963–104963. 23 indexed citations
16.
Boscheri, Walter, et al.. (2020). A structure-preserving staggered semi-implicit finite volume scheme for continuum mechanics. Journal of Computational Physics. 424. 109866–109866. 45 indexed citations
17.
Peshkov, Ilya, et al.. (2020). High order ADER schemes and GLM curl cleaning for a first order hyperbolic formulation of compressible flow with surface tension. Journal of Computational Physics. 426. 109898–109898. 34 indexed citations
18.
Pavelka, Michal, Ilya Peshkov, & Václav Klika. (2020). On Hamiltonian continuum mechanics. Physica D Nonlinear Phenomena. 408. 132510–132510. 12 indexed citations
19.
Dumbser, Michael, Ilya Peshkov, Evgeniy Romenski, & Olindo Zanotti. (2017). High order ADER schemes for a unified first order hyperbolic formulation of Newtonian continuum mechanics coupled with electro-dynamics. Journal of Computational Physics. 348. 298–342. 50 indexed citations
20.
Romenski, Evgeniy, et al.. (2015). Conservative formulation for compressible multiphase flows. Quarterly of Applied Mathematics. 74(1). 113–136. 21 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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