Michael Karow

484 total citations
20 papers, 277 citations indexed

About

Michael Karow is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Mathematical Physics. According to data from OpenAlex, Michael Karow has authored 20 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computational Theory and Mathematics, 12 papers in Numerical Analysis and 6 papers in Mathematical Physics. Recurrent topics in Michael Karow's work include Matrix Theory and Algorithms (18 papers), Numerical methods for differential equations (9 papers) and Advanced Topics in Algebra (4 papers). Michael Karow is often cited by papers focused on Matrix Theory and Algorithms (18 papers), Numerical methods for differential equations (9 papers) and Advanced Topics in Algebra (4 papers). Michael Karow collaborates with scholars based in Germany, India and Switzerland. Michael Karow's co-authors include Daniel Kreßner, Eugène Gutkin, Edmond Jonckheere, Françoise Tisseur, Effrosyni Kokiopoulou, Julio Moro, Nicolas Gillis, Volker Mehrmann, Rafikul Alam and D. Hinrichsen and has published in prestigious journals such as Systems & Control Letters, SIAM Journal on Control and Optimization and Linear Algebra and its Applications.

In The Last Decade

Michael Karow

18 papers receiving 236 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Karow Germany 10 199 117 64 49 46 20 277
Rafikul Alam India 11 226 1.1× 142 1.2× 32 0.5× 62 1.3× 37 0.8× 28 274
Xingping Sheng China 12 306 1.5× 206 1.8× 54 0.8× 44 0.9× 34 0.7× 27 351
K. C. ‎Sivakumar India 8 220 1.1× 95 0.8× 26 0.4× 27 0.6× 24 0.5× 78 270
Akbar Shirilord Iran 11 236 1.2× 192 1.6× 31 0.5× 63 1.3× 35 0.8× 23 292
Zhongyun Liu China 10 213 1.1× 119 1.0× 13 0.2× 59 1.2× 35 0.8× 49 337
Panayiotis Psarrakos Greece 12 379 1.9× 181 1.5× 36 0.6× 45 0.9× 67 1.5× 60 454
I. Gohberg Israel 6 185 0.9× 78 0.7× 91 1.4× 35 0.7× 94 2.0× 7 369
Hebing Wu China 11 398 2.0× 220 1.9× 29 0.5× 121 2.5× 30 0.7× 16 421
D. E. Ferreyra Argentina 8 273 1.4× 80 0.7× 22 0.3× 59 1.2× 24 0.5× 27 290
F‎. ‎E‎. Levis Argentina 8 231 1.2× 84 0.7× 18 0.3× 49 1.0× 25 0.5× 41 310

Countries citing papers authored by Michael Karow

Since Specialization
Citations

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

Fields of papers citing papers by Michael Karow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Karow

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Karow. A scholar is included among the top collaborators of Michael Karow 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 Michael Karow. Michael Karow 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.
Karow, Michael, et al.. (2020). Approximation of pseudospectra of block triangular matrices. Linear Algebra and its Applications. 623. 398–419.
2.
Gillis, Nicolas, et al.. (2019). Approximating the nearest stable discrete-time system. Linear Algebra and its Applications. 573. 37–53. 13 indexed citations
3.
Gillis, Nicolas, et al.. (2019). A note on approximating the nearest stable discrete-time descriptor systems with fixed rank. Applied Numerical Mathematics. 148. 131–139. 5 indexed citations
4.
Karow, Michael, et al.. (2015). Structured Eigenvalue Backward Errors of Matrix Pencils and Polynomials with Palindromic Structures. SIAM Journal on Matrix Analysis and Applications. 36(2). 393–416. 8 indexed citations
5.
Karow, Michael, et al.. (2015). Structured eigenvalue backward errors of matrix polynomials. 1 indexed citations
6.
Karow, Michael, Daniel Kreßner, & Emre Mengi. (2014). Nonlinear Eigenvalue Problems with Specified Eigenvalues. SIAM Journal on Matrix Analysis and Applications. 35(3). 819–834.
7.
Karow, Michael, et al.. (2014). Structured Eigenvalue Backward Errors of Matrix Pencils and Polynomials with Hermitian and Related Structures. SIAM Journal on Matrix Analysis and Applications. 35(2). 453–475. 10 indexed citations
8.
Karow, Michael & Daniel Kreßner. (2014). On a Perturbation Bound for Invariant Subspaces of Matrices. SIAM Journal on Matrix Analysis and Applications. 35(2). 599–618. 9 indexed citations
9.
Karow, Michael. (2011). Structured Pseudospectra for Small Perturbations. SIAM Journal on Matrix Analysis and Applications. 32(4). 1383–1398. 3 indexed citations
10.
Karow, Michael. (2011). μ-Values and Spectral Value Sets for Linear Perturbation Classes Defined by a Scalar Product. SIAM Journal on Matrix Analysis and Applications. 32(3). 845–865. 8 indexed citations
11.
Alam, Rafikul, et al.. (2011). Perturbation Theory for Hamiltonian Matrices and the Distance to Bounded-Realness. SIAM Journal on Matrix Analysis and Applications. 32(2). 484–514. 29 indexed citations
12.
Karow, Michael, Effrosyni Kokiopoulou, & Daniel Kreßner. (2010). On the computation of structured singular values and pseudospectra. Systems & Control Letters. 59(2). 122–129. 24 indexed citations
13.
Karow, Michael. (2010). Structured Pseudospectra and the Condition of a Nonderogatory Eigenvalue. SIAM Journal on Matrix Analysis and Applications. 31(5). 2860–2881. 8 indexed citations
14.
Blondel, Vincent D., et al.. (2008). Special issue on the joint spectral radius: Theory, methods and applications. Linear Algebra and its Applications. 428(10). 2259–2260. 5 indexed citations
15.
Karow, Michael & Daniel Kreßner. (2008). On the structured distance to uncontrollability. Systems & Control Letters. 58(2). 128–132. 22 indexed citations
16.
Karow, Michael, Daniel Kreßner, & Françoise Tisseur. (2006). Structured Eigenvalue Condition Numbers. SIAM Journal on Matrix Analysis and Applications. 28(4). 1052–1068. 45 indexed citations
17.
Karow, Michael, et al.. (2006). Interconnected Systems with Uncertain Couplings: Explicit Formulae formu-Values, Spectral Value Sets, and Stability Radii. SIAM Journal on Control and Optimization. 45(3). 856–884. 16 indexed citations
18.
Karow, Michael. (2006). Eigenvalue condition numbers and a formula of Burke, Lewis and Overton. Electronic Journal of Linear Algebra. 15. 11 indexed citations
19.
Gutkin, Eugène, Edmond Jonckheere, & Michael Karow. (2003). Convexity of the joint numerical range: topological and differential geometric viewpoints. Linear Algebra and its Applications. 376. 143–171. 45 indexed citations
20.
Karow, Michael. (1999). Self-adjoint operators and pairs of Hermitian forms over the quaternions. Linear Algebra and its Applications. 299(1-3). 101–117. 15 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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