Kurt Lust

23 papers receiving 423 citations

Peers

Kurt Lust
Comparison fields: 5 of 65
  • Numerical Analysis 90
  • Statistical and Nonlinear Physics 174
  • Computational Mechanics 180
  • Modeling and Simulation 28
  • Computational Theory and Mathematics 94
Replace R. Seydel with:
R. Seydel Germany
Yiorgos‐Sokratis Smyrlis Cyprus
Toshiyuki OGAWA Japan
C. M. Andersen United States
J. Morris United Kingdom
Tassilo Küpper Germany
Louis A. Bauer United States
Wen-Wei Lin Taiwan
Guannan Wei Ireland
Yanlai Chen United States
Kurt Lust relative to R. Seydel Germany R. Seydel's profile →
Citations per field
00.5×10×14×
R. Seydel · 1×
Citations per year

Countries citing papers authored by Kurt Lust

Since Specialization
Citations

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

Fields of papers citing papers by Kurt Lust

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Kurt Lust, 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 Kurt Lust Line = papers co-authored together Kurt Lust links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998113
2 200374
3 200156
4 199735
5 199525
6 200520
7 200517
8 199917
9 200917
10 200614
11 199414
12
Analysis of low dimensional dynamics of flow separation
200012
13 200010
14 20057
15 20017
16 20036
17 20065
18
A parallel multiblock Euler/Navier-Stokes code with adaptive refinement and run-time load balancing
19934
19
A Newton-Picard method for accurate computation of period doubling bifurcation points of large-scale systems of ODEs
19963
20
Newton-Picard methods with subspace iteration for computing periodic solutions of partial differential equations
19962

About Kurt Lust

Kurt Lust is a scholar working on Numerical Analysis, Statistical and Nonlinear Physics, Computational Theory and Mathematics, Computer Networks and Communications and Computational Mechanics, having authored 26 papers that have together received 464 indexed citations. Recurring topics across this work include Numerical methods for differential equations (11 papers), Matrix Theory and Algorithms (6 papers), Nonlinear Dynamics and Pattern Formation (5 papers), Parallel Computing and Optimization Techniques (4 papers), Distributed and Parallel Computing Systems (4 papers), Model Reduction and Neural Networks (4 papers), Fluid Dynamics and Turbulent Flows (3 papers) and Nonlinear Photonic Systems (2 papers). The work is most often cited by research in Numerical Analysis (90 citations), Statistical and Nonlinear Physics (174 citations), Computational Mechanics (180 citations), Modeling and Simulation (28 citations) and Computational Theory and Mathematics (94 citations). Kurt Lust has collaborated with scholars based in Belgium, United States and Netherlands. Frequent co-authors include Dirk Roose, Ioannis G. Kevrekidis, Clarence W. Rowley, Jerrold E. Marsden, Koen Engelborghs, I.G. Kevrekidis, Tatyana Luzyanina, A. Spence, Johan De Keyser and Alan Champneys. Their work appears in journals such as International Journal of Bifurcation and Chaos, Physica D Nonlinear Phenomena, Parallel Computing, Chaos Solitons & Fractals and SIAM Journal on Scientific Computing.

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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