Patrick Kürschner

25 papers receiving 399 citations

Peers

Patrick Kürschner
Comparison fields: 5 of 41
  • Computational Mathematics 23
  • Numerical Analysis 156
  • Statistical and Nonlinear Physics 309
  • Statistics, Probability and Uncertainty 71
  • Computational Theory and Mathematics 137
Replace Ninoslav Truhar with:
Ninoslav Truhar Croatia
E. Grimme United States
Bor Plestenjak Slovenia
Bradley N. Bond United States
Francisco Damasceno Freitas Brazil
Gerrit Welper United States
S. H. Lui Canada
John Maroulas Greece
D. W. Decker United States
Jakob Zech Switzerland
Patrick Kürschner relative to Ninoslav Truhar Croatia Ninoslav Truhar's profile →
Citations per field
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Ninoslav Truhar · 1×
Citations per year

Countries citing papers authored by Patrick Kürschner

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Kürschner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Patrick Kürschner, 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 Patrick Kürschner Line = papers co-authored together Patrick Kürschner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201254
2 201648
3 201348
4 201444
5 201430
6 201227
7
A Numerical Comparison of Different Solvers for Large-Scale, Continuous-Time Algebraic Riccati Equations and LQR Problems
202023
8
Efficient Low-Rank Solution of Large-Scale Matrix Equations
201620
9 202116
10 201314
11 201513
12 201813
13 202012
14 20129
15 20129
16 20159
17 20116
18 20124
19 20202
20 20172

About Patrick Kürschner

Patrick Kürschner is a scholar working on Statistical and Nonlinear Physics, Computational Theory and Mathematics, Computational Mechanics, Numerical Analysis and Atomic and Molecular Physics, and Optics, having authored 27 papers that have together received 410 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (18 papers), Matrix Theory and Algorithms (16 papers), Numerical methods for differential equations (9 papers), Sparse and Compressive Sensing Techniques (6 papers), Advanced Numerical Methods in Computational Mathematics (4 papers), Electromagnetic Scattering and Analysis (3 papers), Probabilistic and Robust Engineering Design (3 papers) and Advanced Adaptive Filtering Techniques (2 papers). The work is most often cited by research in Computational Mathematics (23 citations), Numerical Analysis (156 citations), Statistical and Nonlinear Physics (309 citations), Statistics, Probability and Uncertainty (71 citations) and Computational Theory and Mathematics (137 citations). Patrick Kürschner has collaborated with scholars based in Germany, Belgium and Netherlands. Frequent co-authors include Peter Benner, Jens Saak, Christopher Nowakowski, Peter Eberhard, Ninoslav Truhar, Michiel E. Hochstenbach, Ignat Domanov, Daniel Kreßner, Jennifer Pestana and Melina A. Freitag. Their work appears in journals such as ETNA - Electronic Transactions on Numerical Analysis, SIAM Journal on Matrix Analysis and Applications, SIAM Journal on Scientific Computing, Systems & Control Letters and Numerical Algorithms.

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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