Karsten Kahl

643 citations
28 papers · 329 · h-index 8

Impact in

Papers in

Karsten Kahl

26 papers receiving 311 citations

Peers

Karsten Kahl
Comparison fields: 5 of 40
  • Computational Mathematics 15
  • Nuclear and High Energy Physics 148
  • Computational Theory and Mathematics 126
  • Numerical Analysis 28
  • Computational Mechanics 90
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克己 野水
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Citations per field
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Citations per year

Countries citing papers authored by Karsten Kahl

Since Specialization
Citations

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

Fields of papers citing papers by Karsten Kahl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Karsten Kahl, 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 Karsten Kahl Line = papers co-authored together Karsten Kahl links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201498
2 201163
3 201656
4 201817
5 201515
6 201811
7 201111
8
Bootstrap Algebraic Multigrid: status report, open problems, and outlook
20169
9
Adaptive reduction-based multigrid for nearly singular and highly disordered physical systems
20107
10 20197
11 20146
12 20105
13 20214
14 20164
15 20163
16 20182
17 20202
18 20241
19 20251
20 20231

About Karsten Kahl

Karsten Kahl is a scholar working on Computational Theory and Mathematics, Computational Mechanics, Electrical and Electronic Engineering, Nuclear and High Energy Physics and Numerical Analysis, having authored 28 papers that have together received 329 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (17 papers), Advanced Numerical Methods in Computational Mathematics (12 papers), Quantum Chromodynamics and Particle Interactions (6 papers), Numerical methods for differential equations (5 papers), Particle physics theoretical and experimental studies (4 papers), Electromagnetic Simulation and Numerical Methods (4 papers), Advanced Mathematical Modeling in Engineering (4 papers) and Model Reduction and Neural Networks (3 papers). The work is most often cited by research in Computational Mathematics (15 citations), Nuclear and High Energy Physics (148 citations), Computational Theory and Mathematics (126 citations), Numerical Analysis (28 citations) and Computational Mechanics (90 citations). Karsten Kahl has collaborated with scholars based in Germany, United States and Croatia. Frequent co-authors include Andreas Frommer, James Brannick, Björn Leder, Matthias Rottmann, Stefan Krieg, Achi Brandt, I. M. Livshits, Matthias Rottmann, Constantia Alexandrou and Jacob Finkenrath. Their work appears in journals such as SIAM Journal on Scientific Computing, Computer Physics Communications, Linear Algebra and its Applications, BIT Numerical Mathematics and Numerische Mathematik.

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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