D. V. Lukyanenko

848 total citations
79 papers, 566 citations indexed

About

D. V. Lukyanenko is a scholar working on Mathematical Physics, Numerical Analysis and Computational Mechanics. According to data from OpenAlex, D. V. Lukyanenko has authored 79 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Mathematical Physics, 25 papers in Numerical Analysis and 22 papers in Computational Mechanics. Recurrent topics in D. V. Lukyanenko's work include Numerical methods in inverse problems (25 papers), Differential Equations and Numerical Methods (22 papers) and Surface Roughness and Optical Measurements (12 papers). D. V. Lukyanenko is often cited by papers focused on Numerical methods in inverse problems (25 papers), Differential Equations and Numerical Methods (22 papers) and Surface Roughness and Optical Measurements (12 papers). D. V. Lukyanenko collaborates with scholars based in Russia, Tajikistan and China. D. V. Lukyanenko's co-authors include Maxim Shishlenin, A. G. Yagola, М. О. Корпусов, E. V. Yushkov, Yanfei Wang, Н. Н. Нефедов, Alexander V. Tikhonravov, Ye Zhang, Н. Т. Левашова and И. В. Кочиков and has published in prestigious journals such as SHILAP Revista de lepidopterología, Optics Express and Remote Sensing.

In The Last Decade

D. V. Lukyanenko

69 papers receiving 531 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. V. Lukyanenko Russia 14 263 226 152 141 81 79 566
Mathew A. Johnson United States 17 40 0.2× 318 1.4× 75 0.5× 28 0.2× 88 1.1× 38 597
Dietmar Kröner Germany 16 108 0.4× 101 0.4× 362 2.4× 87 0.6× 778 9.6× 34 1.0k
Thomas Sonar Germany 17 101 0.4× 44 0.2× 180 1.2× 59 0.4× 629 7.8× 62 885
П. Н. Вабищевич Russia 10 185 0.7× 175 0.8× 133 0.9× 173 1.2× 259 3.2× 62 626
Li Yuan China 17 150 0.6× 33 0.1× 150 1.0× 199 1.4× 724 8.9× 101 1.0k
М. М. Лаврентьев Russia 8 64 0.2× 595 2.6× 289 1.9× 328 2.3× 82 1.0× 42 852
Klaus Kirchgässner Germany 16 144 0.5× 237 1.0× 229 1.5× 166 1.2× 198 2.4× 39 1.1k
Willi Törnig Germany 11 72 0.3× 66 0.3× 69 0.5× 80 0.6× 94 1.2× 37 381
Sônia M. Gomes Brazil 14 79 0.3× 38 0.2× 111 0.7× 183 1.3× 438 5.4× 63 659
Beth Wingate United States 14 103 0.4× 25 0.1× 77 0.5× 84 0.6× 320 4.0× 29 626

Countries citing papers authored by D. V. Lukyanenko

Since Specialization
Citations

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

Fields of papers citing papers by D. V. Lukyanenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. V. Lukyanenko

This figure shows the co-authorship network connecting the top 25 collaborators of D. V. Lukyanenko. A scholar is included among the top collaborators of D. V. Lukyanenko 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 D. V. Lukyanenko. D. V. Lukyanenko 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.
Wang, Yanfei, et al.. (2024). Joint Gravity and Magnetic Inversion Using CNNs’ Deep Learning. Remote Sensing. 16(7). 1115–1115. 3 indexed citations
2.
Yagola, A. G., et al.. (2024). On Constructing of Magnetic and Gravity Images of Mercury from Satellite Data. Izvestiya Physics of the Solid Earth. 60(3). 441–458.
3.
Lukyanenko, D. V.. (2023). Parallel Algorithm for Solving Overdetermined Systems of Linear Equations, Taking into Account Round-Off Errors. Algorithms. 16(5). 242–242. 4 indexed citations
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Lukyanenko, D. V., et al.. (2023). Recovering the Near-Surface Magnetic Image of Mercury from Satellite Observations. Remote Sensing. 15(8). 2125–2125. 3 indexed citations
6.
Yagola, A. G., et al.. (2023). On Constructing Analytical Models of the Magnetic Field of Mercury from Satellite Data. Izvestiya Physics of the Solid Earth. 59(6). 979–992. 1 indexed citations
7.
Lukyanenko, D. V., et al.. (2022). Numerical simulation of front dynamics in a nonlinear singularly perturbed reaction–diffusion problem. Journal of Computational and Applied Mathematics. 412. 114294–114294. 4 indexed citations
8.
Lukyanenko, D. V., et al.. (2022). Features of Numerical Reconstruction of a Boundary Condition in an Inverse Problem for a Reaction–Diffusion–Advection Equation with Data on the Position of a Reaction Front. Computational Mathematics and Mathematical Physics. 62(3). 441–451. 1 indexed citations
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Корпусов, М. О., et al.. (2020). Analytical-Numerical Study of Finite-Time Blow-up of the Solution to the Initial-Boundary Value Problem for the Nonlinear Klein–Gordon Equation. Computational Mathematics and Mathematical Physics. 60(9). 1452–1460. 1 indexed citations
14.
Lukyanenko, D. V., et al.. (2019). Asymptotic analysis of solving an inverse boundary value problem for a nonlinear singularly perturbed time-periodic reaction-diffusion-advection equation. Journal of Inverse and Ill-Posed Problems. 27(5). 745–758. 34 indexed citations
15.
Lukyanenko, D. V., et al.. (2018). Solving of the coefficient inverse problem for a nonlinear singularly perturbed two-dimensional reaction–diffusion equation with the location of moving front data. Computers & Mathematics with Applications. 77(5). 1245–1254. 36 indexed citations
16.
Lukyanenko, D. V., et al.. (2017). Algorithms for solving inverse problems in the optics of layered media based on comparing the extrema of spectral characteristics. Computational Mathematics and Mathematical Physics. 57(5). 867–875. 7 indexed citations
17.
Корпусов, М. О., et al.. (2017). Local Solvability and Decay of the Solution of an Equation with Quadratic Noncoercive Nonlineatity. Bulletin of the South Ural State University Series Mathematical Modelling Programming and Computer Software. 10(2). 107–123. 6 indexed citations
18.
Lukyanenko, D. V., et al.. (2016). Analytic-Numerical Approach to Solving Singularly Perturbed Parabolic Equations with the Use of Dynamic Adapted Meshes. SHILAP Revista de lepidopterología. 23(3). 334–341. 10 indexed citations
19.
Корпусов, М. О., et al.. (2016). Blow-up for one Sobolev problem: Theoretical approach and numerical analysis. Journal of Mathematical Analysis and Applications. 442(2). 451–468. 28 indexed citations
20.
Wang, Yanfei, Ye Zhang, D. V. Lukyanenko, & A. G. Yagola. (2012). Recovering aerosol particle size distribution function on the set of bounded piecewise-convex functions. Inverse Problems in Science and Engineering. 21(2). 339–354. 12 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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