Vadim Olshevsky

1.7k total citations
54 papers, 1.1k citations indexed

About

Vadim Olshevsky is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Vadim Olshevsky has authored 54 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computational Theory and Mathematics, 15 papers in Numerical Analysis and 11 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Vadim Olshevsky's work include Matrix Theory and Algorithms (44 papers), Electromagnetic Scattering and Analysis (11 papers) and Advanced Optimization Algorithms Research (10 papers). Vadim Olshevsky is often cited by papers focused on Matrix Theory and Algorithms (44 papers), Electromagnetic Scattering and Analysis (11 papers) and Advanced Optimization Algorithms Research (10 papers). Vadim Olshevsky collaborates with scholars based in United States, Israel and Russia. Vadim Olshevsky's co-authors include Israel Gohberg, T. Kailath, Eugene E. Tyrtyshnikov, Yuli Eidelman, Mohammad Amin Shokrollahi, Ivan Oseledets, Michael Stewart, Victor Y. Pan, I. Koltracht and Gilbert Strang and has published in prestigious journals such as IEEE Transactions on Information Theory, Mathematics of Computation and Numerische Mathematik.

In The Last Decade

Vadim Olshevsky

48 papers receiving 907 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vadim Olshevsky United States 19 770 256 247 207 177 54 1.1k
Georg Heinig Kuwait 15 700 0.9× 141 0.6× 165 0.7× 292 1.4× 186 1.1× 52 986
Raf Vandebril Belgium 17 700 0.9× 225 0.9× 313 1.3× 188 0.9× 111 0.6× 120 1.1k
Luca Gemignani Italy 17 655 0.9× 141 0.6× 282 1.1× 142 0.7× 96 0.5× 89 850
Krešimir Veselić Germany 16 757 1.0× 213 0.8× 419 1.7× 153 0.7× 97 0.5× 56 1.2k
Roy Mathias United States 22 803 1.0× 110 0.4× 308 1.2× 414 2.0× 136 0.8× 53 1.2k
Karla Rost Germany 13 548 0.7× 118 0.5× 121 0.5× 211 1.0× 141 0.8× 35 763
Musheng Wei China 21 1.1k 1.4× 204 0.8× 381 1.5× 664 3.2× 65 0.4× 90 1.4k
Michela Redivo‐Zaglia Italy 17 462 0.6× 177 0.7× 401 1.6× 300 1.4× 79 0.4× 58 1.1k
L. Elsner Germany 22 1.1k 1.4× 160 0.6× 516 2.1× 264 1.3× 195 1.1× 94 1.5k
Sanzheng Qiao Canada 16 401 0.5× 83 0.3× 150 0.6× 147 0.7× 136 0.8× 62 824

Countries citing papers authored by Vadim Olshevsky

Since Specialization
Citations

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

Fields of papers citing papers by Vadim Olshevsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vadim Olshevsky

This figure shows the co-authorship network connecting the top 25 collaborators of Vadim Olshevsky. A scholar is included among the top collaborators of Vadim Olshevsky 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 Vadim Olshevsky. Vadim Olshevsky 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.
Olshevsky, Vadim, et al.. (2024). Backward stability of the Schur decomposition under small perturbations. Linear Algebra and its Applications. 721. 674–691.
2.
Olshevsky, Vadim, et al.. (2023). Existence of flipped orthogonal conjugate symmetric Jordan canonical bases for real H -selfadjoint matrices. Linear and Multilinear Algebra. 72(7). 1160–1169.
3.
Bini, Dario A., Volker Mehrmann, Vadim Olshevsky, Eugene E. Tyrtyshnikov, & Marc Van Barel. (2010). Numerical Methods for Structured Matrices and Applications. Birkhäuser Basel eBooks. 11 indexed citations
4.
Olshevsky, Vadim, et al.. (2010). A quasiseparable approach to five-diagonal CMV and Fiedler matrices. Linear Algebra and its Applications. 434(4). 957–976. 4 indexed citations
5.
Olshevsky, Vadim, et al.. (2009). Green’s matrices. Linear Algebra and its Applications. 432(1). 218–241. 9 indexed citations
6.
Eidelman, Yuli, et al.. (2008). Computations with quasiseparable polynomials and matrices. Theoretical Computer Science. 409(2). 158–179. 20 indexed citations
7.
Olshevsky, Vadim, et al.. (2008). Lipschitz stability of canonical Jordan bases of H-selfadjoint matrices under structure-preserving perturbations. Linear Algebra and its Applications. 428(8-9). 2130–2176. 5 indexed citations
8.
Eidelman, Yuli, et al.. (2006). A Björck–Pereyra-type algorithm for Szegö–Vandermonde matrices based on properties of unitary Hessenberg matrices. Linear Algebra and its Applications. 420(2-3). 634–647. 11 indexed citations
9.
Eidelman, Yuli, Israel Gohberg, & Vadim Olshevsky. (2005). Eigenstructure of order-one-quasiseparable matrices. Three-term and two-term recurrence relations. Linear Algebra and its Applications. 405. 1–40. 12 indexed citations
10.
Eidelman, Yuli, Israel Gohberg, & Vadim Olshevsky. (2005). The QR iteration method for Hermitian quasiseparable matrices of an arbitrary order. Linear Algebra and its Applications. 404. 305–324. 49 indexed citations
11.
Olshevsky, Vadim, Ivan Oseledets, & Eugene E. Tyrtyshnikov. (2005). Tensor properties of multilevel Toeplitz and related matrices. Linear Algebra and its Applications. 412(1). 1–21. 26 indexed citations
12.
Dewilde, P., Vadim Olshevsky, & Ali H. Sayed. (2002). Special Issue on Structured and Infinite Systems of Linear Equations. Linear Algebra and its Applications. 343-344. 1–4. 5 indexed citations
13.
Olshevsky, Vadim. (2001). Structured matrices in mathematics, computer science, and engineering : proceedings of an AMS-IMS-SIAM Joint Summer Research Conference, University of Colorado, Boulder, June 27-July 1, 1999. American Mathematical Society eBooks. 1 indexed citations
14.
Olshevsky, Vadim. (2001). Contemporary mathematics: theory and applications. American Mathematical Society eBooks. 2 indexed citations
15.
Olshevsky, Vadim. (2001). Unitary Hessenberg matrices and the generalized Parker-Forney-Traub algorithm for inversion of Szegö-Vandermonde matrices. Nova Science Publishers, Inc. eBooks. 67–77. 2 indexed citations
16.
Kailath, T., et al.. (1999). A fast parallel Björck–Pereyra-type algorithm for solving Cauchy linear equations. Linear Algebra and its Applications. 302-303. 265–293. 27 indexed citations
17.
Kailath, T. & Vadim Olshevsky. (1997). Displacement-structure approach to polynomial Vandermonde and related matrices. Linear Algebra and its Applications. 261(1-3). 49–90. 30 indexed citations
18.
Matsaev, V. & Vadim Olshevsky. (1996). Cyclic dimensions, kernel multiplicities, and Gohberg-Kaashoek numbers. Linear Algebra and its Applications. 239. 161–174. 4 indexed citations
19.
Gohberg, Israel, T. Kailath, & Vadim Olshevsky. (1995). Fast Gaussian elimination with partial pivoting for matrices with displacement structure. Mathematics of Computation. 64(212). 1557–1576. 101 indexed citations
20.
Gohberg, Israel & Vadim Olshevsky. (1994). Complexity of multiplication with vectors for structured matrices. Linear Algebra and its Applications. 202. 163–192. 84 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 Georg Heinig Breakdown of academic impact, for papers by Raf Vandebril Breakdown of academic impact, for papers by Luca Gemignani Breakdown of academic impact, for papers by Krešimir Veselić Breakdown of academic impact, for papers by Roy Mathias Breakdown of academic impact, for papers by Karla Rost Breakdown of academic impact, for papers by Musheng Wei Breakdown of academic impact, for papers by Michela Redivo‐Zaglia Breakdown of academic impact, for papers by L. Elsner Breakdown of academic impact, for papers by Sanzheng Qiao
Rankless by CCL
2026