Alexei Chekhlov

457 total citations
9 papers, 349 citations indexed

About

Alexei Chekhlov is a scholar working on Computational Mechanics, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Alexei Chekhlov has authored 9 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computational Mechanics, 3 papers in Global and Planetary Change and 2 papers in Atmospheric Science. Recurrent topics in Alexei Chekhlov's work include Fluid Dynamics and Turbulent Flows (7 papers), Climate variability and models (3 papers) and Complex Systems and Time Series Analysis (2 papers). Alexei Chekhlov is often cited by papers focused on Fluid Dynamics and Turbulent Flows (7 papers), Climate variability and models (3 papers) and Complex Systems and Time Series Analysis (2 papers). Alexei Chekhlov collaborates with scholars based in United States, Israel and Czechia. Alexei Chekhlov's co-authors include Victor Yakhot, Semion Sukoriansky, Boris Galperin, Steven A. Orszag, Ilya Staroselsky, Raoyang Zhang and N. A. Inogamov and has published in prestigious journals such as Physical Review Letters, Physics of Fluids and Physica D Nonlinear Phenomena.

In The Last Decade

Alexei Chekhlov

9 papers receiving 337 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alexei Chekhlov United States	6	215	117	89	70	62	9	349
J.‐D. Fournier France	7	194 0.9×	54 0.5×	46 0.5×	72 1.0×	10 0.2×	11	308
Valerii I. Klyatskin Russia	13	89 0.4×	26 0.2×	40 0.4×	28 0.4×	25 0.4×	20	350
Chuong V. Tran United Kingdom	11	320 1.5×	101 0.9×	52 0.6×	109 1.6×	40 0.6×	39	506
S. M. Churilov Russia	11	158 0.7×	91 0.8×	40 0.4×	123 1.8×	110 1.8×	38	355
Theodore D. Drivas United States	14	252 1.2×	19 0.2×	22 0.2×	124 1.8×	14 0.2×	38	452
Samuel I. Vainshtein United States	8	102 0.5×	21 0.2×	46 0.5×	426 6.1×	46 0.7×	11	549
Tobias Grafke United Kingdom	9	98 0.5×	45 0.4×	45 0.5×	12 0.2×	20 0.3×	23	239
Vladimir Zeitlin France	10	159 0.7×	79 0.7×	26 0.3×	30 0.4×	57 0.9×	13	290
M. Lilley France	14	31 0.1×	87 0.7×	113 1.3×	206 2.9×	36 0.6×	24	396
Oleg Zaboronski United Kingdom	11	49 0.2×	22 0.2×	30 0.3×	17 0.2×	14 0.2×	37	322

Countries citing papers authored by Alexei Chekhlov

Since Specialization

Citations

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

Fields of papers citing papers by Alexei Chekhlov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexei Chekhlov

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

All Works

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9 of 9 papers shown

Chekhlov, Alexei, et al.. (2023). Lattice Boltzmann model in general curvilinear coordinates applied to exactly solvable 2D flow problems. Frontiers in Applied Mathematics and Statistics. 8. 1 indexed citations

Sukoriansky, Semion, Boris Galperin, & Alexei Chekhlov. (1999). Large scale drag representation in simulations of two-dimensional turbulence. Physics of Fluids. 11(10). 3043–3053. 39 indexed citations

Yakhot, Victor & Alexei Chekhlov. (1996). Algebraic Tails of Probability Density Functions in the Random-Force-Driven Burgers Turbulence. Physical Review Letters. 77(15). 3118–3121. 50 indexed citations

Chekhlov, Alexei, Steven A. Orszag, Semion Sukoriansky, Boris Galperin, & Ilya Staroselsky. (1996). The effect of small-scale forcing on large-scale structures in two-dimensional flows. Physica D Nonlinear Phenomena. 98(2-4). 321–334. 74 indexed citations

Sukoriansky, Semion, Alexei Chekhlov, Steven A. Orszag, Boris Galperin, & Ilya Staroselsky. (1996). Large eddy simulation of two-dimensional isotropic turbulence. Journal of Scientific Computing. 11(1). 13–45. 16 indexed citations

Chekhlov, Alexei. (1995). Studies of forced-dissipative turbulence in model hydrodynamics. UMI eBooks. 1 indexed citations

Chekhlov, Alexei & Victor Yakhot. (1995). Kolmogorov turbulence in a random-force-driven Burgers equation: Anomalous scaling and probability density functions. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 52(5). 5681–5684. 68 indexed citations

Chekhlov, Alexei & Victor Yakhot. (1995). Kolmogorov turbulence in a random-force-driven Burgers equation. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 51(4). R2739–R2742. 99 indexed citations

Inogamov, N. A., et al.. (1993). MULTIPLICITY AND UNIQUENESS IN THE RAYLEIGH-TAYLOR INSTABILITY THEORY : POSSIBLE STEADY STATE SOLUTIONS AND THE SELECTION FROM THEM. Doklady Physics. 38(1). 32–34. 1 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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