Michael Karow

497 citations
21 papers · 282 · h-index 10

Impact in

Papers in

Michael Karow

20 papers receiving 241 citations

Peers

Michael Karow
Comparison fields: 5 of 43
  • Numerical Analysis 117
  • Computational Theory and Mathematics 201
  • Algebra and Number Theory 27
  • Applied Mathematics 41
  • Mathematical Physics 35
Replace A. Melman with:
A. Melman United States
Rafikul Alam India
I. Gohberg Israel
Julio Moro Spain
Chun Yuan Deng China
Robert Reams United States
K. C. ‎Sivakumar India
King-wah Eric Chu United Kingdom
Susana Furtado Portugal
L. Lerer Israel
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Citations per field
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Citations per year

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-authors

The 14 scholars most cited alongside Michael Karow, 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 Michael Karow Line = papers co-authored together Michael Karow links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200645
2 200344
3 201129
4 201024
5 200822
6 200616
7 199915
8 201913
9 201411
10 200611
11 20149
12 20119
13 20159
14 20108
15 20196
16 20085
17 20113
18 20151
19 20131
20 20141

About Michael Karow

Michael Karow is a scholar working on Computational Theory and Mathematics, Numerical Analysis, Mathematical Physics, Statistical and Nonlinear Physics and Algebra and Number Theory, having authored 21 papers that have together received 282 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (18 papers), Numerical methods for differential equations (9 papers), Quantum chaos and dynamical systems (4 papers), Spectral Theory in Mathematical Physics (4 papers), Advanced Topics in Algebra (4 papers), Electromagnetic Scattering and Analysis (3 papers), Advanced Optimization Algorithms Research (3 papers) and Stability and Control of Uncertain Systems (2 papers). The work is most often cited by research in Numerical Analysis (117 citations), Computational Theory and Mathematics (201 citations), Algebra and Number Theory (27 citations), Applied Mathematics (41 citations) and Mathematical Physics (35 citations). Michael Karow has collaborated with scholars based in Germany, India and Switzerland. Frequent co-authors include Daniel Kreßner, Eugène Gutkin, Edmond Jonckheere, Françoise Tisseur, Effrosyni Kokiopoulou, Julio Moro, Rafikul Alam, Volker Mehrmann, Nicolas Gillis and Christian Mehl. Their work appears in journals such as SIAM Journal on Matrix Analysis and Applications, Linear Algebra and its Applications, Systems & Control Letters, SIAM Journal on Control and Optimization and Applied Numerical Mathematics.

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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