Lukas Einkemmer

1.1k total citations
63 papers, 707 citations indexed

About

Lukas Einkemmer is a scholar working on Computational Mechanics, Numerical Analysis and Statistical and Nonlinear Physics. According to data from OpenAlex, Lukas Einkemmer has authored 63 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computational Mechanics, 26 papers in Numerical Analysis and 19 papers in Statistical and Nonlinear Physics. Recurrent topics in Lukas Einkemmer's work include Numerical methods for differential equations (26 papers), Advanced Numerical Methods in Computational Mathematics (22 papers) and Model Reduction and Neural Networks (17 papers). Lukas Einkemmer is often cited by papers focused on Numerical methods for differential equations (26 papers), Advanced Numerical Methods in Computational Mathematics (22 papers) and Model Reduction and Neural Networks (17 papers). Lukas Einkemmer collaborates with scholars based in Austria, United States and Italy. Lukas Einkemmer's co-authors include Alexander Ostermann, Nicolas Crouseilles, Erwan Faou, Jingwei Hu, I. Joseph, Jonas Kusch, M. Wiesenberger, Lexing Ying, Qin Li and Zhiyan Ding and has published in prestigious journals such as PLoS ONE, Journal of Computational Physics and Computer Physics Communications.

In The Last Decade

Lukas Einkemmer

57 papers receiving 656 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lukas Einkemmer Austria 16 362 243 233 146 126 63 707
Yingda Cheng United States 19 872 2.4× 143 0.6× 429 1.8× 303 2.1× 86 0.7× 67 1.2k
Michel Méhrenberger France 15 335 0.9× 62 0.3× 92 0.4× 247 1.7× 179 1.4× 45 659
Erwan Faou France 20 284 0.8× 347 1.4× 506 2.2× 126 0.9× 54 0.4× 73 1.1k
Marco Caliari Italy 18 357 1.0× 154 0.6× 413 1.8× 194 1.3× 18 0.1× 54 989
Lucas Monzón United States 11 119 0.3× 88 0.4× 69 0.3× 103 0.7× 10 0.1× 25 597
Yisheng Song China 24 128 0.4× 69 0.3× 742 3.2× 74 0.5× 42 0.3× 93 1.6k
Ander Murua Spain 19 306 0.8× 229 0.9× 639 2.7× 21 0.1× 38 0.3× 52 943
Rick Miranda United States 18 92 0.3× 168 0.7× 23 0.1× 160 1.1× 50 0.4× 74 1.2k
Claudio Procesi Italy 29 34 0.1× 435 1.8× 41 0.2× 121 0.8× 145 1.2× 80 3.3k
Olivier Coulaud France 15 161 0.4× 30 0.1× 70 0.3× 71 0.5× 75 0.6× 35 599

Countries citing papers authored by Lukas Einkemmer

Since Specialization
Citations

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

Fields of papers citing papers by Lukas Einkemmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lukas Einkemmer

This figure shows the co-authorship network connecting the top 25 collaborators of Lukas Einkemmer. A scholar is included among the top collaborators of Lukas Einkemmer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lukas Einkemmer. Lukas Einkemmer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Einkemmer, Lukas, et al.. (2025). Reduced Augmentation Implicit Low-Rank (RAIL) Integrators for Advection-Diffusion and Fokker–Planck Models. SIAM Journal on Scientific Computing. 47(2). A1145–A1169. 2 indexed citations
2.
Einkemmer, Lukas, Katharina Kormann, Jonas Kusch, Ryan G. McClarren, & Jing‐Mei Qiu. (2025). A review of low-rank methods for time-dependent kinetic simulations. Journal of Computational Physics. 538. 114191–114191. 4 indexed citations
3.
Einkemmer, Lukas, et al.. (2025). Control of instability in a Vlasov-Poisson system through an external electric field. Journal of Computational Physics. 530. 113904–113904.
4.
Einkemmer, Lukas, et al.. (2024). LeXInt: GPU-accelerated exponential integrators package. SoftwareX. 29. 101949–101949.
5.
Caliari, Marco, et al.. (2024). Accelerating Exponential Integrators to Efficiently Solve Semilinear Advection-Diffusion-Reaction Equations. SIAM Journal on Scientific Computing. 46(2). A906–A928. 4 indexed citations
6.
Einkemmer, Lukas, et al.. (2024). A Semi-Lagrangian Discontinuous Galerkin Method for Drift-Kinetic Simulations on GPUs. SIAM Journal on Scientific Computing. 46(2). B33–B55.
7.
Einkemmer, Lukas, et al.. (2024). A robust second-order low-rank BUG integrator based on the midpoint rule. BIT Numerical Mathematics. 64(3). 9 indexed citations
8.
Einkemmer, Lukas, et al.. (2023). LeXInt: Package for exponential integrators employing Leja interpolation. SoftwareX. 21. 101302–101302. 3 indexed citations
9.
Caliari, Marco, et al.. (2022). A μ-mode integrator for solving evolution equations in Kronecker form. Journal of Computational Physics. 455. 110989–110989. 8 indexed citations
10.
Einkemmer, Lukas, et al.. (2022). Efficient 6D Vlasov simulation using the dynamical low-rank framework Ensign. Computer Physics Communications. 280. 108489–108489. 9 indexed citations
11.
Einkemmer, Lukas, et al.. (2022). Semi-Lagrangian 4d, 5d, and 6d kinetic plasma simulation on large-scale GPU-equipped supercomputers. The International Journal of High Performance Computing Applications. 37(2). 180–196. 5 indexed citations
12.
Einkemmer, Lukas, et al.. (2021). Computer physics communications / An exponential integrator/WENO discretization for sonic-boom simulation on modern computer hardware. Digital Library of the University of Innsbruck (University of Innsbruck). 1 indexed citations
13.
Ding, Zhiyan, Lukas Einkemmer, & Qin Li. (2021). Dynamical Low-Rank Integrator for the Linear Boltzmann Equation: Error Analysis in the Diffusion Limit. SIAM Journal on Numerical Analysis. 59(4). 2254–2285. 21 indexed citations
14.
Einkemmer, Lukas, et al.. (2021). Unsupervised logic-based mechanism inference for network-driven biological processes. PLoS Computational Biology. 17(6). e1009035–e1009035. 4 indexed citations
15.
Ding, Zhiyan, Lukas Einkemmer, & Qin Li. (2019). Error analysis of an asymptotic preserving dynamical low-rank integrator for the multi-scale radiative transfer equation. arXiv (Cornell University). 4 indexed citations
16.
Einkemmer, Lukas. (2017). Evaluation of the Intel Xeon Phi 7120 and NVIDIA K80 as accelerators for two-dimensional panel codes. PLoS ONE. 12(6). e0178156–e0178156. 5 indexed citations
17.
Einkemmer, Lukas & Alexander Ostermann. (2014). An almost symmetric Strang splitting scheme for the construction of high order composition methods. Journal of Computational and Applied Mathematics. 271(100). 307–318. 7 indexed citations
18.
Einkemmer, Lukas & Alexander Ostermann. (2014). An almost symmetric Strang splitting scheme for nonlinear evolution equations. Computers & Mathematics with Applications. 67(12). 2144–2157. 10 indexed citations
19.
Einkemmer, Lukas & Alexander Ostermann. (2014). On the error propagation of semi-Lagrange and Fourier methods for advection problems. Computers & Mathematics with Applications. 69(3). 170–179. 4 indexed citations
20.
Einkemmer, Lukas & Alexander Ostermann. (2014). Convergence Analysis of Strang Splitting for Vlasov-Type Equations. SIAM Journal on Numerical Analysis. 52(1). 140–155. 29 indexed citations

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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