Evgenij E. Tyrtyshnikov

756 total citations
7 papers, 553 citations indexed

About

Evgenij E. Tyrtyshnikov is a scholar working on Computational Theory and Mathematics, Applied Mathematics and Mathematical Physics. According to data from OpenAlex, Evgenij E. Tyrtyshnikov has authored 7 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computational Theory and Mathematics, 4 papers in Applied Mathematics and 2 papers in Mathematical Physics. Recurrent topics in Evgenij E. Tyrtyshnikov's work include Matrix Theory and Algorithms (5 papers), Holomorphic and Operator Theory (3 papers) and Mathematical Analysis and Transform Methods (2 papers). Evgenij E. Tyrtyshnikov is often cited by papers focused on Matrix Theory and Algorithms (5 papers), Holomorphic and Operator Theory (3 papers) and Mathematical Analysis and Transform Methods (2 papers). Evgenij E. Tyrtyshnikov collaborates with scholars based in Russia. Evgenij E. Tyrtyshnikov's co-authors include and has published in prestigious journals such as Numerische Mathematik, Linear Algebra and its Applications and SIAM Journal on Matrix Analysis and Applications.

In The Last Decade

Evgenij E. Tyrtyshnikov

7 papers receiving 454 citations

Peers

Evgenij E. Tyrtyshnikov
William F. Moss United States
Dirk Laurie South Africa
Karla Rost Germany
Karl E. Gustafson United States
Gregory Ammar United States
Plamen Koev United States
Man-Chung Yeung United States
Evgenij E. Tyrtyshnikov
Citations per year, relative to Evgenij E. Tyrtyshnikov Evgenij E. Tyrtyshnikov (= 1×) peers Juan Carlos Dı́az

Countries citing papers authored by Evgenij E. Tyrtyshnikov

Since Specialization
Citations

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

Fields of papers citing papers by Evgenij E. Tyrtyshnikov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Evgenij E. Tyrtyshnikov. 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 Evgenij E. Tyrtyshnikov. The network helps show where Evgenij E. Tyrtyshnikov may publish in the future.

No nodes

All Works

7 of 7 papers shown
1.
Tyrtyshnikov, Evgenij E.. (1999). Mosaic Ranks for Weakly Semiseparable Matrices.. 36–41. 11 indexed citations
2.
Tyrtyshnikov, Evgenij E.. (1996). A unifying approach to some old and new theorems on distribution and clustering. Linear Algebra and its Applications. 232. 1–43. 232 indexed citations
3.
Tyrtyshnikov, Evgenij E.. (1994). Influence of matrix operations on the distribution of Eigenvalues and singular values of Toeplitz matrices. Linear Algebra and its Applications. 207. 225–249. 26 indexed citations
4.
Tyrtyshnikov, Evgenij E.. (1994). How bad are Hankel matrices?. Numerische Mathematik. 67(2). 261–269. 91 indexed citations
5.
Tyrtyshnikov, Evgenij E.. (1992). Singular values of cauchy-toeplitz matrices. Linear Algebra and its Applications. 161. 99–116. 13 indexed citations
6.
Tyrtyshnikov, Evgenij E.. (1992). Optimal and Superoptimal Circulant Preconditioners. SIAM Journal on Matrix Analysis and Applications. 13(2). 459–473. 158 indexed citations
7.
Tyrtyshnikov, Evgenij E.. (1991). Cauchy-Toeplitz matrices and some applications. Linear Algebra and its Applications. 149. 1–18. 22 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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