Dmitry Savostyanov

1.3k total citations
24 papers, 648 citations indexed

About

Dmitry Savostyanov is a scholar working on Computational Mathematics, Computational Theory and Mathematics and Statistical and Nonlinear Physics. According to data from OpenAlex, Dmitry Savostyanov has authored 24 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computational Mathematics, 11 papers in Computational Theory and Mathematics and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Dmitry Savostyanov's work include Tensor decomposition and applications (20 papers), Matrix Theory and Algorithms (10 papers) and Blind Source Separation Techniques (4 papers). Dmitry Savostyanov is often cited by papers focused on Tensor decomposition and applications (20 papers), Matrix Theory and Algorithms (10 papers) and Blind Source Separation Techniques (4 papers). Dmitry Savostyanov collaborates with scholars based in Russia, United Kingdom and Germany. Dmitry Savostyanov's co-authors include Sergey Dolgov, Ivan Oseledets, Boris N. Khoromskij, E. E. Tyrtyshnikov, Ilya Kuprov, Е. Е. Тыртышников, Luke Edwards, John W. Pearson, Martin Stoll and Heinz‐Jürgen Flad and has published in prestigious journals such as Physical Review B, BMC Bioinformatics and Computer Physics Communications.

In The Last Decade

Dmitry Savostyanov

23 papers receiving 594 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dmitry Savostyanov Russia 14 478 234 202 140 127 24 648
Thorsten Rohwedder Germany 10 420 0.9× 216 0.9× 178 0.9× 207 1.5× 190 1.5× 13 690
Sergey Dolgov United Kingdom 17 636 1.3× 289 1.2× 331 1.6× 218 1.6× 243 1.9× 48 993
Venera Khoromskaia Germany 13 424 0.9× 258 1.1× 70 0.3× 94 0.7× 207 1.6× 31 546
Mike Espig Germany 11 229 0.5× 92 0.4× 58 0.3× 80 0.6× 107 0.8× 16 363
Jerzy Weyman United States 23 109 0.2× 330 1.4× 290 1.4× 33 0.2× 17 0.1× 79 1.7k
Claudio Procesi Italy 29 35 0.1× 485 2.1× 435 2.2× 34 0.2× 56 0.4× 80 3.3k
Gregor Kemper Germany 15 27 0.1× 174 0.7× 26 0.1× 40 0.3× 41 0.3× 45 866
P. A. Griffiths United States 8 36 0.1× 366 1.6× 308 1.5× 81 0.6× 15 0.1× 10 1.8k
Yaoyun Shi United States 18 111 0.2× 414 1.8× 84 0.4× 16 0.1× 804 6.3× 42 1.4k
Tomohiro Sogabe Japan 15 19 0.0× 536 2.3× 137 0.7× 80 0.6× 253 2.0× 73 721

Countries citing papers authored by Dmitry Savostyanov

Since Specialization
Citations

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

Fields of papers citing papers by Dmitry Savostyanov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dmitry Savostyanov

This figure shows the co-authorship network connecting the top 25 collaborators of Dmitry Savostyanov. A scholar is included among the top collaborators of Dmitry Savostyanov 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 Dmitry Savostyanov. Dmitry Savostyanov 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.
Dolgov, Sergey & Dmitry Savostyanov. (2024). Tensor product algorithms for inference of contact network from epidemiological data. BMC Bioinformatics. 25(1). 285–285.
2.
Dolgov, Sergey & Dmitry Savostyanov. (2023). Tensor product approach to modelling epidemics on networks. Applied Mathematics and Computation. 460. 128290–128290. 4 indexed citations
3.
Savostyanov, Dmitry, et al.. (2019). A Study of the Effect of Terahertz Electromagnetic Radiation on Microbial Cell Viability. BIOPHYSICS. 64(3). 416–423. 2 indexed citations
4.
Dolgov, Sergey, John W. Pearson, Dmitry Savostyanov, & Martin Stoll. (2015). Fast tensor product solvers for optimization problems with fractional differential equations as constraints. Applied Mathematics and Computation. 273. 604–623. 27 indexed citations
5.
Edwards, Luke, et al.. (2014). Quantum mechanical NMR simulation algorithm for protein-size spin systems. Journal of Magnetic Resonance. 243. 107–113. 30 indexed citations
6.
Savostyanov, Dmitry. (2014). Quasioptimality of maximum-volume cross interpolation of tensors. Linear Algebra and its Applications. 458. 217–244. 49 indexed citations
7.
Savostyanov, Dmitry, Sergey Dolgov, Jörn M. Werner, & Ilya Kuprov. (2014). Exact NMR simulation of protein-size spin systems using tensor train formalism. Physical Review B. 90(8). 20 indexed citations
8.
Dolgov, Sergey, Boris N. Khoromskij, Ivan Oseledets, & Dmitry Savostyanov. (2014). Computation of extreme eigenvalues in higher dimensions using block tensor train format. Computer Physics Communications. 185(4). 1207–1216. 55 indexed citations
9.
Edwards, Luke, Dmitry Savostyanov, Alexander A. Nevzorov, et al.. (2013). Grid-free powder averages: On the applications of the Fokker–Planck equation to solid state NMR. Journal of Magnetic Resonance. 235. 121–129. 21 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.
Goreinov, S. A., Ivan Oseledets, & Dmitry Savostyanov. (2012). Wedderburn Rank Reduction and Krylov Subspace Method for Tensor Approximation. Part 1: Tucker Case. SIAM Journal on Scientific Computing. 34(1). A1–A27. 20 indexed citations
12.
Dolgov, Sergey, Boris N. Khoromskij, & Dmitry Savostyanov. (2012). Superfast Fourier Transform Using QTT Approximation. Journal of Fourier Analysis and Applications. 18(5). 915–953. 46 indexed citations
13.
Savostyanov, Dmitry. (2011). QTT-rank-one vectors with QTT-rank-one and full-rank Fourier images. Linear Algebra and its Applications. 436(9). 3215–3224. 8 indexed citations
14.
Savostyanov, Dmitry & Ivan Oseledets. (2011). Fast adaptive interpolation of multi-dimensional arrays in tensor train format. University of Brighton Repository (University of Brighton). 1–8. 63 indexed citations
15.
Savostyanov, Dmitry. (2009). Fast Revealing of Mode Ranks of Tensor in Canonical Form. Numerical Mathematics Theory Methods and Applications. 2(4). 439–444. 10 indexed citations
16.
Savostyanov, Dmitry & Е. Е. Тыртышников. (2009). Approximate multiplication of tensor matrices based on the individual filtering of factors. Computational Mathematics and Mathematical Physics. 49(10). 1662–1677. 7 indexed citations
17.
Oseledets, Ivan, Dmitry Savostyanov, & E. E. Tyrtyshnikov. (2009). Fast Simultaneous Orthogonal Reduction to Triangular Matrices. SIAM Journal on Matrix Analysis and Applications. 31(2). 316–330. 7 indexed citations
18.
Oseledets, Ivan, Dmitry Savostyanov, & E. E. Tyrtyshnikov. (2009). Linear algebra for tensor problems. Computing. 85(3). 169–188. 30 indexed citations
19.
Flad, Heinz‐Jürgen, Boris N. Khoromskij, Dmitry Savostyanov, & Е. Е. Тыртышников. (2008). Verification of the cross 3D algorithm on quantum chemistry data. Russian Journal of Numerical Analysis and Mathematical Modelling. 23(4). 27 indexed citations
20.
Oseledets, Ivan & Dmitry Savostyanov. (2006). Minimization methods for approximating tensors and their comparison. Computational Mathematics and Mathematical Physics. 46(10). 1641–1650. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Thorsten Rohwedder Breakdown of academic impact, for papers by Sergey Dolgov Breakdown of academic impact, for papers by Venera Khoromskaia Breakdown of academic impact, for papers by Mike Espig Breakdown of academic impact, for papers by Jerzy Weyman Breakdown of academic impact, for papers by Claudio Procesi Breakdown of academic impact, for papers by Gregor Kemper Breakdown of academic impact, for papers by P. A. Griffiths Breakdown of academic impact, for papers by Yaoyun Shi Breakdown of academic impact, for papers by Tomohiro Sogabe
Rankless by CCL
2026