Alexander Litvinenko

879 total citations
30 papers, 367 citations indexed

About

Alexander Litvinenko is a scholar working on Statistics, Probability and Uncertainty, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, Alexander Litvinenko has authored 30 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Statistics, Probability and Uncertainty, 10 papers in Statistical and Nonlinear Physics and 7 papers in Artificial Intelligence. Recurrent topics in Alexander Litvinenko's work include Probabilistic and Robust Engineering Design (20 papers), Tensor decomposition and applications (6 papers) and Scientific Research and Discoveries (6 papers). Alexander Litvinenko is often cited by papers focused on Probabilistic and Robust Engineering Design (20 papers), Tensor decomposition and applications (6 papers) and Scientific Research and Discoveries (6 papers). Alexander Litvinenko collaborates with scholars based in Germany, Saudi Arabia and United States. Alexander Litvinenko's co-authors include Hermann G. Matthies, Bojana Rosić, Boris N. Khoromskij, Anna Kučerová, Jan Sýkora, Wolfgang Nowak, Sergey Dolgov, Mike Espig, Wolfgang Hackbusch and Anthony Nouy and has published in prestigious journals such as Journal of Computational Physics, Engineering Structures and Physica D Nonlinear Phenomena.

In The Last Decade

Alexander Litvinenko

29 papers receiving 341 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexander Litvinenko Germany 10 226 103 94 60 57 30 367
Radu Alexandru Todor Switzerland 8 607 2.7× 120 1.2× 150 1.6× 78 1.3× 259 4.5× 12 770
V. Akçelik United States 8 61 0.3× 37 0.4× 41 0.4× 29 0.5× 66 1.2× 12 595
Harbir Antil United States 13 52 0.2× 29 0.3× 124 1.3× 61 1.0× 104 1.8× 61 422
Alessandro Alla Italy 9 107 0.5× 24 0.2× 331 3.5× 22 0.4× 156 2.7× 27 469
Mohammad Motamed United States 10 82 0.4× 22 0.2× 40 0.4× 28 0.5× 101 1.8× 22 306
Denis Ridzal United States 11 96 0.4× 26 0.3× 47 0.5× 25 0.4× 197 3.5× 28 388
Arvind K. Saibaba United States 11 48 0.2× 10 0.1× 33 0.4× 9 0.1× 82 1.4× 35 314
Mark Runacres Belgium 19 31 0.1× 40 0.4× 42 0.4× 25 0.4× 155 2.7× 78 881
Alen Alexanderian United States 10 146 0.6× 32 0.3× 44 0.5× 24 0.4× 43 0.8× 38 365
Manas K. Deb Canada 6 277 1.2× 109 1.1× 75 0.8× 47 0.8× 120 2.1× 16 402

Countries citing papers authored by Alexander Litvinenko

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Litvinenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Litvinenko

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Litvinenko. A scholar is included among the top collaborators of Alexander Litvinenko 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 Alexander Litvinenko. Alexander Litvinenko 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.
Litvinenko, Alexander, et al.. (2024). Uncertainty quantification in the Henry problem using the multilevel Monte Carlo method. Journal of Computational Physics. 503. 112854–112854.
2.
Litvinenko, Alexander, et al.. (2023). Uncertainty quantification in coastal aquifers using the multilevel Monte Carlo method. PAMM. 23(3). 1 indexed citations
3.
Espig, Mike, et al.. (2020). Iterative algorithms for the post-processing of high-dimensional data. Journal of Computational Physics. 410. 109396–109396. 6 indexed citations
4.
Litvinenko, Alexander, et al.. (2019). Application of bayesian networks for estimation of individual psychological characteristics Zastosowanie sieci Bayesowskich do oceny indywidualnych cech psychologicznych. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 2 indexed citations
5.
Litvinenko, Alexander, et al.. (2019). Computation of Electromagnetic Fields Scattered From Objects With Uncertain Shapes Using Multilevel Monte Carlo Method. IEEE journal on multiscale and multiphysics computational techniques. 4. 37–50. 9 indexed citations
6.
Dolgov, Sergey, et al.. (2019). KRIGING IN TENSOR TRAIN DATA FORMAT. 309–329. 1 indexed citations
7.
Bernholdt, David E., et al.. (2018). Comparing theory based and higher-order reduced models for fusion simulation data. 3(2). 41–53. 1 indexed citations
8.
Litvinenko, Alexander, et al.. (2017). Quantification of Airfoil Geometry-Induced Aerodynamic Uncertainties---Comparison of Approaches. SIAM/ASA Journal on Uncertainty Quantification. 5(1). 334–352. 17 indexed citations
9.
Dolgov, Sergey, Boris N. Khoromskij, Alexander Litvinenko, & Hermann G. Matthies. (2015). Polynomial Chaos Expansion of Random Coefficients and the Solution of Stochastic Partial Differential Equations in the Tensor Train Format. SIAM/ASA Journal on Uncertainty Quantification. 3(1). 1109–1135. 33 indexed citations
10.
Nowak, Wolfgang & Alexander Litvinenko. (2013). Kriging and Spatial Design Accelerated by Orders of Magnitude: Combining Low-Rank Covariance Approximations with FFT-Techniques. Mathematical Geosciences. 45(4). 411–435. 17 indexed citations
11.
Rosić, Bojana, et al.. (2013). Parameter identification in a probabilistic setting. Engineering Structures. 50. 179–196. 61 indexed citations
12.
Litvinenko, Alexander & Hermann G. Matthies. (2013). Uncertainty Quantification and Non‐Linear Bayesian Update of PCE Coefficients. PAMM. 13(1). 379–380. 2 indexed citations
13.
Litvinenko, Alexander, et al.. (2012). Approximation of the stochastic Galerkin matrix in the low‐rank canonical tensor format. PAMM. 12(1). 785–788. 1 indexed citations
14.
Espig, Mike, et al.. (2012). Efficient low-rank approximation of the stochastic Galerkin matrix in tensor formats. Computers & Mathematics with Applications. 67(4). 818–829. 28 indexed citations
15.
Rosić, Bojana, et al.. (2012). A deterministic filter for non-Gaussian Bayesian estimation— Applications to dynamical system estimation with noisy measurements. Physica D Nonlinear Phenomena. 241(7). 775–788. 34 indexed citations
16.
Litvinenko, Alexander, et al.. (2011). Direct Bayesian Update of Polynomial Chaos Representations. LeoPARD - TU Braunschweig Publications And Research Data. 7 indexed citations
17.
Rosić, Bojana, et al.. (2011). A Deterministic Filter for non‐Gaussian State Estimation. PAMM. 11(1). 703–704. 1 indexed citations
18.
Litvinenko, Alexander & Hermann G. Matthies. (2011). Uncertainties Quantification and Data Compression in numerical Aerodynamics. PAMM. 11(1). 877–878. 4 indexed citations
19.
Khoromskij, Boris N. & Alexander Litvinenko. (2008). Data Sparse Computation of the Karhunen‐Loève Expansion. AIP conference proceedings. 311–314. 9 indexed citations
20.
Litvinenko, Alexander. (2006). Application of hierarchical matrices for solving multiscale problems. RWTH Publications (RWTH Aachen). 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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