Tomaž Košir

38 papers receiving 200 citations

Peers

Tomaž Košir
Comparison fields: 5 of 36
  • Computational Mathematics 13
  • Algebra and Number Theory 66
  • Numerical Analysis 64
  • Discrete Mathematics and Combinatorics 29
  • Computational Theory and Mathematics 131
Replace Kristian Ranestad with:
Kristian Ranestad Norway
John de Pillis United States
Charles N. Delzell United States
Zejun Huang China
Dragan S. Rakić Serbia
William A. Adkins United States
K. C. ‎Sivakumar India
Mao-Ting Chien Taiwan
Nebojša Č. Dinčić Serbia
Tomaž Košir relative to Kristian Ranestad Norway Kristian Ranestad's profile →
Citations per field
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Kristian Ranestad · 1×
Citations per year

Countries citing papers authored by Tomaž Košir

Since Specialization
Citations

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

Fields of papers citing papers by Tomaž Košir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Tomaž Košir, 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 Tomaž Košir Line = papers co-authored together Tomaž Košir links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200443
2 199426
3 199613
4 202111
5 200410
6 19979
7 20079
8 20097
9 20056
10 19966
11 19976
12
Reducibility and triangularizability of semitransitive spaces of operators
20085
13 19935
14 20195
15 19965
16
SEMITRANSITIVE SUBSPACES OF MATRICES
20064
17 20024
18 20224
19 20114
20 20074

About Tomaž Košir

Tomaž Košir is a scholar working on Computational Theory and Mathematics, Algebra and Number Theory, Mathematical Physics, Geometry and Topology and Statistics and Probability, having authored 43 papers that have together received 226 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (20 papers), Advanced Topics in Algebra (17 papers), Spectral Theory in Mathematical Physics (5 papers), graph theory and CDMA systems (5 papers), Financial Risk and Volatility Modeling (5 papers), Numerical methods for differential equations (4 papers), Polynomial and algebraic computation (4 papers) and Holomorphic and Operator Theory (4 papers). The work is most often cited by research in Computational Mathematics (13 citations), Algebra and Number Theory (66 citations), Numerical Analysis (64 citations), Discrete Mathematics and Combinatorics (29 citations) and Computational Theory and Mathematics (131 citations). Tomaž Košir has collaborated with scholars based in Slovenia, Canada and United States. Frequent co-authors include Bor Plestenjak, Michiel E. Hochstenbach, Matjaž Omladič, L. Grünenfelder, B. A. Sethuraman, Heydar Radjavi, Paul Binding, Robert M. Guralnick, Jan Okniński and Marjeta Kramar Fijavž. Their work appears in journals such as Linear Algebra and its Applications, Transactions of the American Mathematical Society, Semigroup Forum, Journal of Computational and Applied Mathematics and Electronic Journal of Linear Algebra.

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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