Andrea Beck

2.3k total citations · 1 hit paper
65 papers, 1.4k citations indexed

About

Andrea Beck is a scholar working on Computational Mechanics, Statistical and Nonlinear Physics and Atmospheric Science. According to data from OpenAlex, Andrea Beck has authored 65 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computational Mechanics, 14 papers in Statistical and Nonlinear Physics and 9 papers in Atmospheric Science. Recurrent topics in Andrea Beck's work include Fluid Dynamics and Turbulent Flows (31 papers), Computational Fluid Dynamics and Aerodynamics (21 papers) and Model Reduction and Neural Networks (14 papers). Andrea Beck is often cited by papers focused on Fluid Dynamics and Turbulent Flows (31 papers), Computational Fluid Dynamics and Aerodynamics (21 papers) and Model Reduction and Neural Networks (14 papers). Andrea Beck collaborates with scholars based in Germany, Hungary and Belgium. Andrea Beck's co-authors include Claus‐Dieter Munz, David Flad, Gregor J. Gassner, Florian Hindenlang, Anita Horváth, Tamás I. Korányi, Christian Koch, Jochen Schütz, Sebastian Noelle and Mária Lukáčová–Medvid’ová and has published in prestigious journals such as Journal of Computational Physics, Applied Catalysis A General and AIAA Journal.

In The Last Decade

Andrea Beck

59 papers receiving 1.4k citations

Hit Papers

Deep neural networks for data-driven LES closure models 2019 2026 2021 2023 2019 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Deep neural networks for data-driven LES closure models
    2019 216 citations Andrea Beck, David Flad et al. Journal of Computational Physics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrea Beck Germany 17 1.1k 386 233 149 137 65 1.4k
D. Pelletier Canada 21 1.0k 0.9× 181 0.5× 144 0.6× 29 0.2× 184 1.3× 89 1.3k
Karthikeyan Duraisamy United States 18 1.1k 1.0× 464 1.2× 618 2.7× 86 0.6× 205 1.5× 65 1.4k
P. De Palma Italy 25 1.3k 1.2× 108 0.3× 554 2.4× 84 0.6× 178 1.3× 123 1.8k
Junqiang Bai China 24 1.2k 1.1× 228 0.6× 868 3.7× 32 0.2× 105 0.8× 153 1.9k
Christian Rohde Germany 18 679 0.6× 132 0.3× 45 0.2× 50 0.3× 81 0.6× 105 1.1k
Christophe Corre France 18 705 0.6× 75 0.2× 243 1.0× 51 0.3× 109 0.8× 52 912
Zhuyin Ren China 31 2.5k 2.3× 84 0.2× 757 3.2× 263 1.8× 108 0.8× 171 3.0k
F. Xavier Trias Spain 24 1.4k 1.3× 87 0.2× 286 1.2× 80 0.5× 485 3.5× 93 1.8k
A. Liakopoulos Greece 23 585 0.5× 156 0.4× 80 0.3× 46 0.3× 59 0.4× 68 1.3k
Patrick Le Quéré France 24 1.5k 1.4× 109 0.3× 106 0.5× 46 0.3× 296 2.2× 67 2.0k

Countries citing papers authored by Andrea Beck

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Beck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Beck

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Beck. A scholar is included among the top collaborators of Andrea Beck 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 Andrea Beck. Andrea Beck 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.
Beck, Andrea, et al.. (2025). PyHOPE: A Python Toolkit for Three-Dimensional Unstructured High-Order Meshes. The Journal of Open Source Software. 10(115). 8769–8769. 1 indexed citations
2.
Beck, Andrea, et al.. (2025). Data-driven deep learning models in particle-laden turbulent flow. Physics of Fluids. 37(2). 1 indexed citations
3.
Rohde, Christian, et al.. (2025). Comparison of entropy stable collocation high-order DG methods for compressible turbulent flows. Computers & Fluids. 303. 106874–106874. 1 indexed citations
4.
Beck, Andrea, et al.. (2025). Efficient computation of particle-fluid and particle-particle interactions in compressible flow. Computer Physics Communications. 315. 109743–109743.
5.
Beck, Andrea, et al.. (2024). GALÆXI: Solving complex compressible flows with high-order discontinuous Galerkin methods on accelerator-based systems. Computer Physics Communications. 306. 109388–109388. 6 indexed citations
6.
Beck, Andrea, et al.. (2024). Wall-modeled large eddy simulation of a tandem wing configuration in transonic flow. Physics of Fluids. 36(5). 2 indexed citations
7.
Chapelier, Jean-Baptiste, Andrea Beck, Guido Lodato, et al.. (2024). Comparison of high-order numerical methodologies for the simulation of the supersonic Taylor–Green vortex flow. Physics of Fluids. 36(5). 13 indexed citations
8.
Kühn, T., et al.. (2023). PoUnce: A framework for automatized uncertaintyquantification simulations on high-performance clusters. The Journal of Open Source Software. 8(82). 4683–4683. 1 indexed citations
9.
Staudacher, Stephan, et al.. (2023). A framework for high-fidelity particle tracking on massively parallel systems. Computer Physics Communications. 289. 108762–108762. 5 indexed citations
10.
11.
Larsson, Johan, et al.. (2023). Residual estimation for grid modification in wall-modeled large eddy simulation using unstructured high-order methods. Computers & Fluids. 254. 105796–105796. 1 indexed citations
12.
Lutz, Thorsten, et al.. (2023). A time-accurate inflow coupling for zonal LES. CEAS Aeronautical Journal. 15(1). 105–123. 1 indexed citations
13.
Beck, Andrea, et al.. (2022). A machine learning framework for LES closure terms. ETNA - Electronic Transactions on Numerical Analysis. Oesterreichisches Musiklexikon online (Institut für kunst- und musikhistorische Forschungen der Österreichischen Akademie der Wissenschaften). 11 indexed citations
14.
15.
Beck, Andrea, et al.. (2021). A Low Mach Number IMEX Flux Splitting for the Level Set Ghost Fluid Method. Communications on Applied Mathematics and Computation. 5(2). 722–750. 1 indexed citations
16.
Beck, Andrea, et al.. (2021). A data-driven high order sub-cell artificial viscosity for the discontinuous Galerkin spectral element method. Journal of Computational Physics. 441. 110475–110475. 17 indexed citations
17.
Munz, Claus‐Dieter, et al.. (2020). An Efficient Sliding Mesh Interface Method for High-Order Discontinuous Galerkin Schemes. arXiv (Cornell University). 15 indexed citations
18.
Schütz, Jochen, et al.. (2018). Comparison of Different Splitting Techniques for the Isentropic Euler Equations. RWTH Publications (RWTH Aachen). 1 indexed citations
19.
Beck, Andrea, David Flad, & Claus‐Dieter Munz. (2018). Neural Networks for Data-Based Turbulence Models. arXiv (Cornell University). 3 indexed citations
20.
Beck, Andrea. (2016). Aboriginal Consultation in Canadian Water Negotiations: The Mackenzie Bilateral Water Management Agreements. eYLS (Yale Law School). 39(2). 487–523. 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by D. Pelletier Breakdown of academic impact, for papers by Karthikeyan Duraisamy Breakdown of academic impact, for papers by P. De Palma Breakdown of academic impact, for papers by Junqiang Bai Breakdown of academic impact, for papers by Christian Rohde Breakdown of academic impact, for papers by Christophe Corre Breakdown of academic impact, for papers by Zhuyin Ren Breakdown of academic impact, for papers by F. Xavier Trias Breakdown of academic impact, for papers by A. Liakopoulos Breakdown of academic impact, for papers by Patrick Le Quéré
Rankless by CCL
2026