Alexander Litvinenko

29 papers receiving 341 citations

Peers

Alexander Litvinenko
Comparison fields: 5 of 50
  • Computational Mathematics 50
  • Statistics, Probability and Uncertainty 226
  • Statistical and Nonlinear Physics 94
  • Civil and Structural Engineering 103
  • Environmental Engineering 49
Replace Radu Alexandru Todor with:
Radu Alexandru Todor Switzerland
Arvind K. Saibaba United States
V. Akçelik United States
Alessandro Alla Italy
Mohammad Motamed United States
Harbir Antil United States
Mark Runacres Belgium
Denis Ridzal United States
W. Vetter Canada
Alexey Chernov Germany
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Alexander Litvinenko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Alexander Litvinenko Line = papers co-authored together Alexander Litvinenko links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201361
2 200839
3 201238
4 201234
5 201533
6 201332
7 201228
8 201317
9 201717
10 20089
11 20199
12 20117
13 20037
14 20206
15 20096
16 20114
17 20104
18 20192
19 20132
20
Low-rank data format for uncertainty quantification
20102

About Alexander Litvinenko

Alexander Litvinenko is a scholar working on Statistics, Probability and Uncertainty, Statistical and Nonlinear Physics, Artificial Intelligence, Computational Mathematics and Computational Theory and Mathematics, having authored 30 papers that have together received 367 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (20 papers), Scientific Research and Discoveries (6 papers), Tensor decomposition and applications (6 papers), Gaussian Processes and Bayesian Inference (4 papers), Model Reduction and Neural Networks (4 papers), Statistical and numerical algorithms (3 papers), Fault Detection and Control Systems (3 papers) and Electromagnetic Scattering and Analysis (3 papers). The work is most often cited by research in Computational Mathematics (50 citations), Statistics, Probability and Uncertainty (226 citations), Statistical and Nonlinear Physics (94 citations), Civil and Structural Engineering (103 citations) and Environmental Engineering (49 citations). Alexander Litvinenko has collaborated with scholars based in Germany, Saudi Arabia and United States. Frequent co-authors include Hermann G. Matthies, Bojana Rosić, Boris N. Khoromskij, Anna Kučerová, Jan Sýkora, Wolfgang Nowak, Sergey Dolgov, Wolfgang Hackbusch, Mike Espig and Anthony Nouy. Their work appears in journals such as Journal of Computational Physics, SIAM/ASA Journal on Uncertainty Quantification, Mathematical Geosciences, Engineering Structures and Numerical Linear Algebra with Applications.

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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