Е. Е. Тыртышников

1.9k citations

70 papers · 1.1k · h-index 16

Impact in

Computational Mathematics top 0.2%
- Tensor decomposition and applications
Computational Theory and Mathematics top 1%
- Matrix Theory and Algorithms

Papers in

Computational Theory and Mathematics 29
- Matrix Theory and Algorithms 23
Computational Mathematics 20
- Tensor decomposition and applications 20

Co-authors: Н. Л. Замарашкин (8 shared papers)S. A. Goreinov (2 shared papers)Boris N. Khoromskij (3 shared papers)Wolfgang Hackbusch (2 shared papers)С. А. Матвеев (14 shared papers)A. P. Smirnov (12 shared papers)Nikolai V. Brilliantov (4 shared papers)Dmitry Savostyanov (4 shared papers)
Journals: Linear Algebra and its Applications (6 papers)Journal of Computational Physics (3 papers)Numerical Linear Algebra with Applications (3 papers)Sbornik Mathematics (2 papers)Journal of Computational and Applied Mathematics (2 papers)
Partner nations: Russia Poland United Kingdom

In The Last Decade

Е. Е. Тыртышников

61 papers receiving 1.0k citations

Peers

Replace E. E. Tyrtyshnikov with:

E. E. Tyrtyshnikov Russia

Н. Л. Замарашкин Russia

Martin J. Mohlenkamp United States

K. Jbilou France

Thomas Huckle Germany

Alex Townsend United States

Shivkumar Chandrasekaran United States

Othmar Koch Austria

Jianlin Xia United States

H. Sadok France

Е. Е. Тыртышников relative to E. E. Tyrtyshnikov Russia E. E. Tyrtyshnikov's profile →

Citations per field

00.5×1.5×

E. E. Tyrtyshnikov · 1×

×0.7 396/606

CM

×0.7 458/701

CTM

×0.7 112/154

NA

×0.9 327/358

CM

×1.1 167/157

SNP

Citations per year

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Countries citing papers authored by Е. Е. Тыртышников

Since Specialization

Citations

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

Fields of papers citing papers by Е. Е. Тыртышников

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Е. Е. Тыртышников, 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 Е. Е. Тыртышников Line = papers co-authored together Е. Е. Тыртышников links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	A theory of pseudoskeleton approximations Linear Algebra and its Applications ·S. A. Goreinov, Е. Е. Тыртышников, Н. Л. Замарашкин	1997	324
2	Mosaic-Skeleton approximations CALCOLO ·Е. Е. Тыртышников	1996	124
3	Tensor approximations of matrices generated by asymptotically smooth functions Sbornik Mathematics ·Е. Е. Тыртышников	2003	67
4	Pseudo-skeleton approximations by matrices of maximal volume Mathematical Notes ·S. A. Goreinov, Н. Л. Замарашкин, Е. Е. Тыртышников	1997	63
5	Approximate iterations for structured matrices Numerische Mathematik ·Wolfgang Hackbusch, Boris N. Khoromskij, Е. Е. Тыртышников	2008	53
6	Kronecker-product approximations for some function-related matrices Linear Algebra and its Applications ·Е. Е. Тыртышников	2003	51
7	Oscillations in Aggregation-Shattering Processes Physical Review Letters ·С. А. Матвеев, P. L. Krapivsky, А. П. Смирнов, Е. Е. Тыртышников, Nikolai V. Brilliantov	2017	36
8	Which circulant preconditioner is better? Mathematics of Computation ·V. Strela, Е. Е. Тыртышников	1996	35
9	Use of tensor formats in elliptic eigenvalue problems Numerical Linear Algebra with Applications ·Wolfgang Hackbusch, Boris N. Khoromskij, Stefan Sauter, Е. Е. Тыртышников	2011	34
10	Verification of the cross 3D algorithm on quantum chemistry data Russian Journal of Numerical Analysis and Mathematical Modelling ·Heinz‐Jürgen Flad, Boris N. Khoromskij, Dmitry Savostyanov, Е. Е. Тыртышников	2008	28
11	Docking Paradigm in Drug Design Current Topics in Medicinal Chemistry ·В. Б. Сулимов, Danil Kutov, Anna S. Taschilova, Ivan Ilin, Е. Е. Тыртышников, А.В. Сулимов	2020	25
12	Tensor train versus Monte Carlo for the multicomponent Smoluchowski coagulation equation Journal of Computational Physics ·С. А. Матвеев, Dmitry A. Zheltkov, Е. Е. Тыртышников, A. P. Smirnov	2016	22
13	Spectra of multilevel Toeplitz matrices: Advanced theory via simple matrix relationships Linear Algebra and its Applications ·Е. Е. Тыртышников	1998	20
14	Anderson acceleration method of finding steady-state particle size distribution for a wide class of aggregation–fragmentation models Computer Physics Communications ·С. А. Матвеев, Vladimir I. Stadnichuk, Е. Е. Тыртышников, A. P. Smirnov, N.V. Ampilogova, Nikolai V. Brilliantov	2017	20
15	Evaluation of the novel algorithm of flexible ligand docking with moveable target-protein atoms Computational and Structural Biotechnology Journal ·А.В. Сулимов, Dmitry A. Zheltkov, I. V. Oferkin, Danil Kutov, E. V. Katkova, Е. Е. Тыртышников, В. Б. Сулимов	2017	17
16	Steady oscillations in aggregation-fragmentation processes Physical review. E ·Nikolai V. Brilliantov, Wendy Otieno, С. А. Матвеев, А. П. Смирнов, Е. Е. Тыртышников, P. L. Krapivsky	2018	15
17	Toeplitz eigenvalues for Radon measures Linear Algebra and its Applications ·Е. Е. Тыртышников, Н. Л. Замарашкин	2002	13
18	Low-rank approximation in the numerical modeling of the Farley–Buneman instability in ionospheric plasma Journal of Computational Physics ·Sergey Dolgov, A. P. Smirnov, Е. Е. Тыртышников	2014	12
19	Newton method for stationary and quasi-stationary problems for Smoluchowski-type equations Journal of Computational Physics ·Ivan V. Timokhin, С. А. Матвеев, Nana Siddharth, Е. Е. Тыртышников, A. P. Smirnov, Nikolai V. Brilliantov	2019	10
20	Evaluation of the Docking Algorithm Based on Tensor Train Global Pptimization Bulletin of the South Ural State University Series Mathematical Modelling Programming and Computer Software ·I. V. Oferkin, Dmitry A. Zheltkov, Е. Е. Тыртышников, А.В. Сулимов, Danil Kutov, В. Б. Сулимов	2015	9

About Е. Е. Тыртышников

Е. Е. Тыртышников is a scholar working on Computational Theory and Mathematics, Computational Mathematics, Computational Mechanics, Atomic and Molecular Physics, and Optics and Numerical Analysis, having authored 70 papers that have together received 1.1k indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (23 papers), Tensor decomposition and applications (20 papers), Electromagnetic Scattering and Analysis (10 papers), Sparse and Compressive Sensing Techniques (7 papers), Advanced Numerical Methods in Computational Mathematics (6 papers), Advanced Optimization Algorithms Research (4 papers), Electromagnetic Simulation and Numerical Methods (4 papers) and Coagulation and Flocculation Studies (4 papers). The work is most often cited by research in Computational Mathematics (396 citations), Computational Theory and Mathematics (458 citations), Numerical Analysis (112 citations), Computational Mechanics (327 citations) and Statistical and Nonlinear Physics (167 citations). Е. Е. Тыртышников has collaborated with scholars based in Russia, Poland and United Kingdom. Frequent co-authors include Н. Л. Замарашкин, S. A. Goreinov, Boris N. Khoromskij, Wolfgang Hackbusch, С. А. Матвеев, A. P. Smirnov, Nikolai V. Brilliantov, Dmitry Savostyanov, В. Б. Сулимов and А.В. Сулимов. Their work appears in journals such as Linear Algebra and its Applications, Journal of Computational Physics, Numerical Linear Algebra with Applications, Sbornik Mathematics and Journal of Computational and Applied Mathematics.

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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Е. Е. Тыртышников

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