Е. Е. Тыртышников

1.9k total citations
69 papers, 1.1k citations indexed

About

Е. Е. Тыртышников is a scholar working on Computational Theory and Mathematics, Computational Mathematics and Computational Mechanics. According to data from OpenAlex, Е. Е. Тыртышников has authored 69 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computational Theory and Mathematics, 19 papers in Computational Mathematics and 19 papers in Computational Mechanics. Recurrent topics in Е. Е. Тыртышников's work include Matrix Theory and Algorithms (23 papers), Tensor decomposition and applications (19 papers) and Electromagnetic Scattering and Analysis (10 papers). Е. Е. Тыртышников is often cited by papers focused on Matrix Theory and Algorithms (23 papers), Tensor decomposition and applications (19 papers) and Electromagnetic Scattering and Analysis (10 papers). Е. Е. Тыртышников collaborates with scholars based in Russia, Poland and United Kingdom. Е. Е. Тыртышников's 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, P. L. Krapivsky and Stefan Sauter and has published in prestigious journals such as Physical Review Letters, Journal of Computational Physics and Mathematics of Computation.

In The Last Decade

Е. Е. Тыртышников

58 papers receiving 975 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Е. Е. Тыртышников Russia	16	460	380	325	298	160	69	1.1k
E. E. Tyrtyshnikov Russia	18	706 1.5×	596 1.6×	355 1.1×	365 1.2×	153 1.0×	43	1.3k
Н. Л. Замарашкин Russia	9	289 0.6×	172 0.5×	214 0.7×	176 0.6×	76 0.5×	33	655
Martin J. Mohlenkamp United States	10	254 0.6×	342 0.9×	178 0.5×	185 0.6×	141 0.9×	19	783
Thomas Huckle Germany	15	857 1.9×	114 0.3×	448 1.4×	628 2.1×	70 0.4×	62	1.2k
K. Jbilou France	19	783 1.7×	147 0.4×	296 0.9×	287 1.0×	271 1.7×	68	1.2k
Alex Townsend United States	18	270 0.6×	75 0.2×	238 0.7×	152 0.5×	189 1.2×	50	1.0k
Othmar Koch Austria	22	242 0.5×	130 0.3×	419 1.3×	370 1.2×	319 2.0×	78	1.4k
Shivkumar Chandrasekaran United States	20	633 1.4×	50 0.1×	348 1.1×	583 2.0×	68 0.4×	51	1.5k
H. Sadok France	21	929 2.0×	72 0.2×	323 1.0×	412 1.4×	175 1.1×	67	1.3k
Jianlin Xia United States	21	729 1.6×	57 0.1×	479 1.5×	632 2.1×	89 0.6×	73	1.5k

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-authorship network of co-authors of Е. Е. Тыртышников

This figure shows the co-authorship network connecting the top 25 collaborators of Е. Е. Тыртышников. A scholar is included among the top collaborators of Е. Е. Тыртышников 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 Е. Е. Тыртышников. Е. Е. Тыртышников is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Botchev, M.A., Sergey Kabanikhin, Maxim Shishlenin, & Е. Е. Тыртышников. (2023). The Cauchy problem for the 3D Poisson equation: Landweber iteration vs. horizontally diagonalize and fit method. Journal of Inverse and Ill-Posed Problems. 0(0).

Тыртышников, Е. Е.. (2022). A well-posed setting of the problem of solving systems of linear algebraic equations. Sbornik Mathematics. 213(10). 1436–1443.

Сулимов, В. Б., et al.. (2020). Docking Paradigm in Drug Design. Current Topics in Medicinal Chemistry. 21(6). 507–546. 25 indexed citations

Матвеев, С. А., et al.. (2018). An efficient finite-difference method for solving Smoluchowski-type kinetic equations of aggregation with three-body collisions. Vyčislitelʹnye metody i programmirovanie. 261–269. 1 indexed citations

Матвеев, С. А., et al.. (2018). Tensor decompositions for solving the equations of mathematical models of aggregation with multiple collisions of particles. Vyčislitelʹnye metody i programmirovanie. 390–404. 2 indexed citations

Brilliantov, Nikolai V., et al.. (2018). Steady oscillations in aggregation-fragmentation processes. Physical review. E. 98(1). 12109–12109. 15 indexed citations

Сулимов, А.В., et al.. (2017). Evaluation of the novel algorithm of flexible ligand docking with moveable target-protein atoms. Computational and Structural Biotechnology Journal. 15. 275–285. 16 indexed citations

Тыртышников, Е. Е., et al.. (2015). A parallel implementation of the matrix cross approximation method. Vyčislitelʹnye metody i programmirovanie. 369–375. 6 indexed citations

Тыртышников, Е. Е., et al.. (2015). 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. 8(4). 83–99. 9 indexed citations

10.

Savostyanov, Dmitry, et al.. (2013). Superfast solution of linear convolutional Volterra equations using QTT approximation. Journal of Computational and Applied Mathematics. 260. 434–448. 4 indexed citations

11.

Тыртышников, Е. Е.. (2010). Tensor ranks for the inversion of tensor-product binomials. Journal of Computational and Applied Mathematics. 234(11). 3170–3174. 1 indexed citations

12.

Тretyakov, А. А. & Е. Е. Тыртышников. (2009). Optimal in-place transposition of rectangular matrices. Journal of Complexity. 25(4). 377–384. 5 indexed citations

13.

Тыртышников, Е. Е.. (2003). Kronecker-product approximations for some function-related matrices. Linear Algebra and its Applications. 379. 423–437. 51 indexed citations

14.

Тыртышников, Е. Е. & Н. Л. Замарашкин. (2003). A general equidistribution theorem for the roots of orthogonal polynomials. Linear Algebra and its Applications. 366. 433–439. 1 indexed citations

15.

Тыртышников, Е. Е. & Н. Л. Замарашкин. (2002). Toeplitz eigenvalues for Radon measures. Linear Algebra and its Applications. 343-344. 345–354. 13 indexed citations

16.

Тыртышников, Е. Е.. (2001). A matrix view on the root distribution for orthogonal polynomials. Nova Science Publishers, Inc. eBooks. 149–155. 4 indexed citations

17.

Тыртышников, Е. Е.. (1998). Spectra of multilevel Toeplitz matrices: Advanced theory via simple matrix relationships. Linear Algebra and its Applications. 270. 15–27. 22 indexed citations

18.

Goreinov, S. A., Е. Е. Тыртышников, & Н. Л. Замарашкин. (1997). A theory of pseudoskeleton approximations. Linear Algebra and its Applications. 261(1-3). 1–21. 319 indexed citations

19.

Тыртышников, Е. Е.. (1997). Matrix Bruhat decompositions with a remark on the QR (GR) algorithm. Linear Algebra and its Applications. 250. 61–68. 4 indexed citations

20.

Тыртышников, Е. Е., et al.. (1996). Which circulant preconditioner is better?. Mathematics of Computation. 65(213). 137–150. 37 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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