Michael Karow

484 citations
20 papers · 277 · h-index 10

Impact in

Papers in

Michael Karow

18 papers receiving 236 citations

Peers

Michael Karow
Comparison fields: 5 of 42
  • Numerical Analysis 117
  • Computational Theory and Mathematics 199
  • Algebra and Number Theory 27
  • Applied Mathematics 42
  • Mathematical Physics 35
Replace Rafikul Alam with:
Rafikul Alam India
I. Gohberg Israel
Chun Yuan Deng China
L. Lerer Israel
K. C. ‎Sivakumar India
D. E. Ferreyra Argentina
Gerhard Opfer Germany
F‎. ‎E‎. Levis Argentina
Merrell L. Patrick United States
Abdur Rehman Pakistan
Michael Karow relative to Rafikul Alam India Rafikul Alam's profile →
Citations per field
00.5×1.5×2.1×
Rafikul Alam · 1×
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
#Work
1 200345
2 200645
3 201129
4 201024
5 200822
6 200616
7 199915
8 201913
9 200611
10 201410
11 20149
12 20118
13 20158
14 20108
15 20085
16 20195
17 20113
18 20151
19 20140
20 20200

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 20 papers that have together received 277 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 (199 citations), Algebra and Number Theory (27 citations), Applied Mathematics (42 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, Nicolas Gillis, Rafikul Alam, Julio Moro, Volker Mehrmann 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, Applied Numerical Mathematics and SIAM Journal on Control and Optimization.

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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