A. V. Debolskiy

862 total citations
19 papers, 48 citations indexed

About

A. V. Debolskiy is a scholar working on Atmospheric Science, Environmental Engineering and Computational Mechanics. According to data from OpenAlex, A. V. Debolskiy has authored 19 papers receiving a total of 48 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Atmospheric Science, 12 papers in Environmental Engineering and 9 papers in Computational Mechanics. Recurrent topics in A. V. Debolskiy's work include Meteorological Phenomena and Simulations (13 papers), Wind and Air Flow Studies (11 papers) and Fluid Dynamics and Turbulent Flows (9 papers). A. V. Debolskiy is often cited by papers focused on Meteorological Phenomena and Simulations (13 papers), Wind and Air Flow Studies (11 papers) and Fluid Dynamics and Turbulent Flows (9 papers). A. V. Debolskiy collaborates with scholars based in Russia, Finland and India. A. V. Debolskiy's co-authors include Evgeny Mortikov, A. V. Glazunov, Sergej Zilitinkevich, Victor Stepanenko, Christof Lüpkes, В. Н. Лыкосов, Timo Vesala, Irina Repina, Mikhail Varentsov and Rostislav Kouznetsov and has published in prestigious journals such as Journal of the Atmospheric Sciences, Boundary-Layer Meteorology and Atmosphere.

In The Last Decade

A. V. Debolskiy

13 papers receiving 47 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. V. Debolskiy Russia 5 45 24 24 17 7 19 48
Hauke Wurps Germany 2 32 0.7× 44 1.8× 22 0.9× 28 1.6× 7 1.0× 3 74
Evgeny Kadantsev Finland 5 67 1.5× 35 1.5× 36 1.5× 31 1.8× 5 0.7× 9 78
Michael Whitall United Kingdom 5 71 1.6× 16 0.7× 51 2.1× 14 0.8× 9 1.3× 11 79
Vera Maurer Germany 5 79 1.8× 33 1.4× 77 3.2× 11 0.6× 3 0.4× 8 98
Laura Jin Mazzaro United States 3 91 2.0× 82 3.4× 64 2.7× 26 1.5× 5 0.7× 4 121
Antoine Verrelle France 5 117 2.6× 41 1.7× 114 4.8× 12 0.7× 5 0.7× 7 138
Clara Darbieu France 4 107 2.4× 74 3.1× 101 4.2× 29 1.7× 4 0.6× 6 135
E. Blay-Carreras Spain 4 104 2.3× 60 2.5× 95 4.0× 21 1.2× 2 0.3× 5 124
Edward Creegan United States 5 74 1.6× 28 1.2× 39 1.6× 11 0.6× 35 5.0× 10 92
Pierre‐Etienne Brilouet France 6 53 1.2× 8 0.3× 55 2.3× 7 0.4× 23 3.3× 10 70

Countries citing papers authored by A. V. Debolskiy

Since Specialization
Citations

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

Fields of papers citing papers by A. V. Debolskiy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. V. Debolskiy. 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 A. V. Debolskiy. The network helps show where A. V. Debolskiy may publish in the future.

Co-authorship network of co-authors of A. V. Debolskiy

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

All Works

19 of 19 papers shown
1.
Mortikov, Evgeny, et al.. (2025). Large-Eddy Simulation Of Aerosol Transport Over Different Urban Local Climate Zones. GEOGRAPHY ENVIRONMENT SUSTAINABILITY. 18(3). 68–79.
2.
Debolskiy, A. V., et al.. (2025). Modeling Turbulent Flows over a Heterogeneous Surface Using Mesoscale and Large Eddy Simulations. Russian Meteorology and Hydrology. 50(5). 417–426.
3.
Debolskiy, A. V., et al.. (2024). Study of Surface Layer Characteristics in the Presence of Suspended Snow Particles Using Observational Data and Large Eddy Simulation. Izvestiya Atmospheric and Oceanic Physics. 60(2). 158–167. 4 indexed citations
4.
Stepanenko, Victor, et al.. (2024). Land surface scheme TerM: the model formulation, code architecture and applications. Russian Journal of Numerical Analysis and Mathematical Modelling. 39(6). 363–377. 2 indexed citations
5.
Mortikov, Evgeny, et al.. (2024). Planetary boundary layer scheme in the INMCM Earth system model. Russian Journal of Numerical Analysis and Mathematical Modelling. 39(6). 343–352.
6.
Debolskiy, A. V., et al.. (2024). On the Parameterization of the Mean Wind Profile for Urban Canopy Models. Lobachevskii Journal of Mathematics. 45(7). 3198–3210. 1 indexed citations
7.
Debolskiy, A. V., et al.. (2023). Facilitating the Process of Performance Analysis of HPC Applications. Lobachevskii Journal of Mathematics. 44(8). 3178–3190.
8.
Debolskiy, A. V., et al.. (2023). Passive Tracer Transport in Ocean Modeling: Implementation on GPUs, Efficiency and Optimizations. Lobachevskii Journal of Mathematics. 44(8). 3040–3058. 1 indexed citations
9.
Debolskiy, A. V., Evgeny Mortikov, A. V. Glazunov, & Christof Lüpkes. (2023). Evaluation of Surface Layer Stability Functions and Their Extension to First Order Turbulent Closures for Weakly and Strongly Stratified Stable Boundary Layer. Boundary-Layer Meteorology. 187(1-2). 73–93. 9 indexed citations
10.
Debolskiy, A. V., et al.. (2022). Large-Eddy Simulation and Parameterization of Decaying Turbulence in the Evening Transition of the Atmospheric Boundary Layer. Izvestiya Atmospheric and Oceanic Physics. 58(3). 219–236. 4 indexed citations
11.
Mortikov, Evgeny, et al.. (2022). Direct Numerical Simulation of a Turbulent Channel Flow with Forchheimer Drag. Boundary-Layer Meteorology. 185(2). 259–276. 2 indexed citations
12.
Glazunov, A. V., Evgeny Mortikov, & A. V. Debolskiy. (2022). Studies of Stable Stratification Effect on Dynamic and Thermal Roughness Lengths of Urban-Type Canopy Using Large-Eddy Simulation. Journal of the Atmospheric Sciences. 80(1). 31–48. 4 indexed citations
13.
Debolskiy, A. V., et al.. (2022). Impact of the Novaya Zemlya Bora on the Ocean-Atmosphere Heat Exchange and Ocean Circulation: A Case-Study with the Coupled Model. Atmosphere. 13(7). 1108–1108. 1 indexed citations
14.
Stepanenko, Victor, et al.. (2022). On the use of large-eddy simulation time data coarsening for dispersion forecasting in the SILAM atmospheric composition model. IOP Conference Series Earth and Environmental Science. 1023(1). 12008–12008.
15.
Debolskiy, A. V., et al.. (2021). Intercomparison of Subgrid Scale Models in Large-Eddy Simulation of Sunset Atmospheric Boundary Layer Turbulence: Computational Aspects. Lobachevskii Journal of Mathematics. 42(7). 1580–1595. 7 indexed citations
16.
Repina, Irina, et al.. (2020). Parameterization of turbulent exchange in the polar regions. IOP Conference Series Earth and Environmental Science. 606(1). 12049–12049.
17.
Debolskiy, A. V., et al.. (2020). Analysis of turbulent kinetic energy decay power law in atmospheric boundary layer models. IOP Conference Series Earth and Environmental Science. 611(1). 12014–12014. 1 indexed citations
18.
Mortikov, Evgeny, A. V. Glazunov, A. V. Debolskiy, В. Н. Лыкосов, & Sergej Zilitinkevich. (2019). Modeling of the Dissipation Rate of Turbulent Kinetic Energy. Doklady Earth Sciences. 489(2). 1440–1443. 7 indexed citations
19.
Debolskiy, A. V., Victor Stepanenko, A. V. Glazunov, & Sergej Zilitinkevich. (2019). Bulk Models of Sheared Boundary Layer Convection. Izvestiya Atmospheric and Oceanic Physics. 55(2). 139–151. 5 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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