Igor Kulikov

773 total citations
65 papers, 367 citations indexed

About

Igor Kulikov is a scholar working on Computational Mechanics, Astronomy and Astrophysics and Applied Mathematics. According to data from OpenAlex, Igor Kulikov has authored 65 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computational Mechanics, 31 papers in Astronomy and Astrophysics and 12 papers in Applied Mathematics. Recurrent topics in Igor Kulikov's work include Computational Fluid Dynamics and Aerodynamics (30 papers), Astrophysics and Star Formation Studies (12 papers) and Gas Dynamics and Kinetic Theory (11 papers). Igor Kulikov is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (30 papers), Astrophysics and Star Formation Studies (12 papers) and Gas Dynamics and Kinetic Theory (11 papers). Igor Kulikov collaborates with scholars based in Russia, Austria and United Kingdom. Igor Kulikov's co-authors include Igor Chernykh, А. В. Тутуков, Eduard I. Vorobyov, С. К. Годунов, В. А. Вшивков, Alexander V. Tutukov, Sergey Kabanikhin, Vardan G. Elbakyan, В. И. Мали and Maxim Shishlenin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and Computer Physics Communications.

In The Last Decade

Igor Kulikov

53 papers receiving 354 citations

Peers

Igor Kulikov

Hendrik Ranocha Germany

Alexander Lifschitz United States

Heinrich Freistühler Germany

Theodore D. Drivas United States

Friedemann Kemm Germany

D. Kröner Germany

Xavier Raynaud Norway

Misha Vishik United States

M. Wesenberg Germany

Francesco Fambri Italy

Hendrik Ranocha Germany

Igor Kulikov

451 ×2.8

71 ×0.5

100 ×1.6

9 ×0.1

56 ×1.0

Citations per year, relative to Igor Kulikov Igor Kulikov (= 1×) peers Hendrik Ranocha

Countries citing papers authored by Igor Kulikov

Since Specialization

Citations

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

Fields of papers citing papers by Igor Kulikov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Igor Kulikov

This figure shows the co-authorship network connecting the top 25 collaborators of Igor Kulikov. A scholar is included among the top collaborators of Igor Kulikov 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 Kulikov. Igor Kulikov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Vorobyov, Eduard I., et al.. (2025). Dust enrichment and growth in the earliest stages of protoplanetary disk formation. Astronomy and Astrophysics. 699. A27–A27.

Vorobyov, Eduard I., et al.. (2024). Accelerating Fortran codes: A method for integrating Coarray Fortran with CUDA Fortran and OpenMP. Journal of Parallel and Distributed Computing. 195. 104977–104977. 1 indexed citations

Kulikov, Igor. (2024). Adaptive Mesh Refinement with a “Garden” Technique for Solving the Special Relativistic Hydrodynamics Equations. Fluid Dynamics. 59(8). 2453–2457.

Vorobyov, Eduard I., et al.. (2024). Dust growth and pebble formation in the initial stages of protoplanetary disk evolution. Astronomy and Astrophysics. 683. A202–A202. 6 indexed citations

Kulikov, Igor, et al.. (2023). Using piecewise-parabolic reconstruction of physics variables to constructing a low-dissipation HLL method for numerical solution of special relativistic hydrodynamics equations. 26(1). 57–75.

Kulikov, Igor. (2023). Using Piecewise Parabolic Reconstruction of Physical Variables in the Rusanov Solver. I. The Special Relativistic Hydrodynamics Equations. Journal of Applied and Industrial Mathematics. 17(4). 737–749. 1 indexed citations

Kulikov, Igor, et al.. (2023). A Piecewise-Parabolic Reconstruction of the Physical Variables in a Low-Dissipation HLL Method for the Numerical Solution of the Equations of Special Relativistic Hydrodynamics. Numerical Analysis and Applications. 16(1). 45–60. 2 indexed citations

Kulikov, Igor, et al.. (2022). A New Parallel Code Based on a Simple Piecewise Parabolic Method for Numerical Modeling of Colliding Flows in Relativistic Hydrodynamics. Mathematics. 10(11). 1865–1865. 3 indexed citations

Chernykh, Igor, et al.. (2022). Energy Efficiency of a New Parallel PIC Code for Numerical Simulation of Plasma Dynamics in Open Trap. Mathematics. 10(19). 3684–3684. 1 indexed citations

10.

Chernykh, Igor, et al.. (2021). Hydrogen–helium chemical and nuclear galaxy collision: Hydrodynamic simulations on AVX-512 supercomputers. Journal of Computational and Applied Mathematics. 391. 113395–113395. 2 indexed citations

11.

Kulikov, Igor. (2020). A new code for the numerical simulation of relativistic flows on supercomputers by means of a low-dissipation scheme. Computer Physics Communications. 257. 107532–107532. 11 indexed citations

12.

Kulikov, Igor, et al.. (2019). A New Hydrodynamic Code with Explicit Vectorization Instructions Optimizations that Is Dedicated to the Numerical Simulation of Astrophysical Gas Flow. I. Numerical Method, Tests, and Model Problems. The Astrophysical Journal Supplement Series. 243(1). 4–4. 20 indexed citations

13.

Kulikov, Igor, Igor Chernykh, & Andrei Tchernykh. (2019). A Scalable Parallel Computing Framework for Large-Scale Astrophysical Fluid Dynamics Numerical Simulation. 1. 328–333.

14.

Kulikov, Igor, et al.. (2018). An Efficient Optimization of Hll Method for the Second Generation of Intel Xeon Phi Processor. Lobachevskii Journal of Mathematics. 39(4). 543–551. 16 indexed citations

15.

Kulikov, Igor, et al.. (2015). A multilevel approach to algorithm and software design for exaflops supercomputers. Vyčislitelʹnye metody i programmirovanie. 543–556. 2 indexed citations

16.

Kulikov, Igor, et al.. (2015). Astrophysics Simulation on RSC Massively Parallel Architecture. 1131–1134. 6 indexed citations

17.

Годунов, С. К. & Igor Kulikov. (2014). Computation of discontinuous solutions of fluid dynamics equations with entropy nondecrease guarantee. Computational Mathematics and Mathematical Physics. 54(6). 1012–1024. 33 indexed citations

18.

Kulikov, Igor, et al.. (2014). AstroPhi: A code for complex simulation of the dynamics of astrophysical objects using hybrid supercomputers. Computer Physics Communications. 186. 71–80. 25 indexed citations

19.

Kulikov, Igor. (2013). PEGAS: Hydrodynamical code for numerical simulation of the gas components of interacting galaxies. 4. 91. 2 indexed citations

20.

Kreĭn, S. G., et al.. (1973). Boundary-Value Problems for Maxwell's Equations.. Soviet physics. Doklady. 17. 1053. 2 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.

Explore authors with similar magnitude of impact