Sergey Utyuzhnikov

1.3k total citations
81 papers, 927 citations indexed

About

Sergey Utyuzhnikov is a scholar working on Computational Mechanics, Aerospace Engineering and Biomedical Engineering. According to data from OpenAlex, Sergey Utyuzhnikov has authored 81 papers receiving a total of 927 indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Computational Mechanics, 26 papers in Aerospace Engineering and 23 papers in Biomedical Engineering. Recurrent topics in Sergey Utyuzhnikov's work include Fluid Dynamics and Turbulent Flows (26 papers), Acoustic Wave Phenomena Research (23 papers) and Advanced Adaptive Filtering Techniques (17 papers). Sergey Utyuzhnikov is often cited by papers focused on Fluid Dynamics and Turbulent Flows (26 papers), Acoustic Wave Phenomena Research (23 papers) and Advanced Adaptive Filtering Techniques (17 papers). Sergey Utyuzhnikov collaborates with scholars based in United Kingdom, Russia and United States. Sergey Utyuzhnikov's co-authors include В. А. Титарев, Dominique Laurence, Victor S. Ryaben’kii, Juan Uribe, Semyon Tsynkov, А. В. Федоров, Michael Dumbser, A. Jones, Ali Turan and Zhao Wu and has published in prestigious journals such as Journal of Fluid Mechanics, Journal of Computational Physics and Chemical Physics Letters.

In The Last Decade

Sergey Utyuzhnikov

73 papers receiving 872 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sergey Utyuzhnikov United Kingdom 18 619 292 200 192 99 81 927
Nicolas R. Gauger Germany 19 709 1.1× 427 1.5× 104 0.5× 115 0.6× 108 1.1× 120 1.2k
Pietro Marco Congedo France 19 463 0.7× 259 0.9× 61 0.3× 162 0.8× 144 1.5× 90 1.0k
Oktay Baysal United States 21 1.2k 1.9× 685 2.3× 290 1.4× 268 1.4× 142 1.4× 126 1.7k
Thomas D. Economon United States 20 1.3k 2.0× 898 3.1× 95 0.5× 256 1.3× 140 1.4× 57 1.9k
Jean‐Yves Trépanier Canada 23 1.3k 2.1× 414 1.4× 74 0.4× 159 0.8× 48 0.5× 122 1.8k
Jean‐Marc Moschetta France 19 681 1.1× 724 2.5× 73 0.4× 356 1.9× 59 0.6× 105 1.3k
João Luiz F. Azevedo Brazil 14 805 1.3× 475 1.6× 45 0.2× 258 1.3× 126 1.3× 157 997
Richard Pasquetti France 20 1.1k 1.8× 362 1.2× 57 0.3× 130 0.7× 341 3.4× 70 1.5k
Scott M. Murman United States 20 1.2k 1.9× 668 2.3× 38 0.2× 274 1.4× 100 1.0× 112 1.3k
Edwin van der Weide United States 17 821 1.3× 395 1.4× 33 0.2× 143 0.7× 44 0.4× 46 1.0k

Countries citing papers authored by Sergey Utyuzhnikov

Since Specialization
Citations

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

Fields of papers citing papers by Sergey Utyuzhnikov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sergey Utyuzhnikov

This figure shows the co-authorship network connecting the top 25 collaborators of Sergey Utyuzhnikov. A scholar is included among the top collaborators of Sergey Utyuzhnikov 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 Sergey Utyuzhnikov. Sergey Utyuzhnikov 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.
Oseledets, Ivan, et al.. (2025). Data-driven optimal prediction with control. Communications in Nonlinear Science and Numerical Simulation. 143. 108641–108641.
2.
Utyuzhnikov, Sergey, et al.. (2024). Nonlocal active sound control for composite regions. Mathematical Methods in the Applied Sciences.
3.
Eshghinejadfard, Amir, et al.. (2024). Implicit near-wall domain decomposition approach for large eddy simulation of turbulent flow separation. Physics of Fluids. 36(12). 2 indexed citations
4.
Utyuzhnikov, Sergey, et al.. (2023). Application of noise-filtering techniques to data-driven analysis of electric power systems based on higher-order dynamic mode decomposition. International Journal of Electrical Power & Energy Systems. 156. 109721–109721. 3 indexed citations
5.
Utyuzhnikov, Sergey, et al.. (2023). Tensor Train-Based Higher-Order Dynamic Mode Decomposition for Dynamical Systems. Mathematics. 11(8). 1809–1809. 3 indexed citations
6.
Utyuzhnikov, Sergey, et al.. (2023). Extension of Dynamic Mode Decomposition for dynamic systems with incomplete information based on t-model of optimal prediction. Journal of Computational Physics. 476. 111913–111913. 2 indexed citations
7.
Utyuzhnikov, Sergey, et al.. (2020). Study of the nonlocal active sound control with preservation of desired field in time domain. The Journal of the Acoustical Society of America. 148(6). 3886–3899. 1 indexed citations
8.
Utyuzhnikov, Sergey, et al.. (2019). Unsteady interface boundary conditions for near-wall turbulence modeling. Computers & Mathematics with Applications. 79(5). 1483–1502. 3 indexed citations
9.
Титарев, В. А., et al.. (2018). Parallel Versions of Implicit LU-SGS Method. Lobachevskii Journal of Mathematics. 39(4). 503–512. 11 indexed citations
10.
Utyuzhnikov, Sergey. (2018). Reprint of: A practical algorithm for real-time active sound control with preservation of interior sound. Computers & Fluids. 169. 373–379. 2 indexed citations
11.
Utyuzhnikov, Sergey. (2017). A practical algorithm for real-time active sound control with preservation of interior sound. Computers & Fluids. 157. 175–181. 7 indexed citations
12.
Jones, A. & Sergey Utyuzhnikov. (2015). A near-wall domain decomposition approach in application to turbulent flow in a diffuser. Applied Mathematical Modelling. 40(1). 329–342. 10 indexed citations
13.
Bountin, D. A., А. А. Маслов, А. В. Новиков, et al.. (2013). Stabilization of a Hypersonic Boundary Layer Using a Wavy Surface. AIAA Journal. 51(5). 1203–1210. 81 indexed citations
14.
Титарев, В. А., Е. М. Шахов, & Sergey Utyuzhnikov. (2013). Rarefied gas flow through a diverging conical pipe into vacuum. Vacuum. 101. 10–17. 22 indexed citations
15.
Ryaben’kii, Victor S., Sergey Utyuzhnikov, & Semyon Tsynkov. (2009). Difference problem of noise suppression and other problems of active control of single-frequency sound on a composite domain. Doklady Mathematics. 79(2). 240–242. 4 indexed citations
16.
Utyuzhnikov, Sergey, et al.. (2007). Local Approximation of Pareto Surface.. 898–903. 3 indexed citations
17.
Ryaben’kii, Victor S., Sergey Utyuzhnikov, & Ali Turan. (2007). On the application of difference potential theory to active noise control. Advances in Applied Mathematics. 40(2). 194–211. 17 indexed citations
18.
Ryaben’kii, Victor S., Semyon Tsynkov, & Sergey Utyuzhnikov. (2006). Inverse source problem and active shielding for composite domains. Applied Mathematics Letters. 20(5). 511–515. 34 indexed citations
19.
Utyuzhnikov, Sergey & Paolo Fantini. (2005). Application of the modified physical programming method to generating the entire Pareto frontier in multiobjective optimization. Research Explorer (The University of Manchester). 4 indexed citations
20.
Utyuzhnikov, Sergey, et al.. (1991). Supersonic laminar flow on the windward surface of yawed wings of infinite span over a broad range of Reynolds numbers. Fluid Dynamics. 26(4). 508–512. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026