Claus‐Dieter Munz

4.3k total citations · 2 hit papers
111 papers, 2.8k citations indexed

About

Claus‐Dieter Munz is a scholar working on Computational Mechanics, Aerospace Engineering and Applied Mathematics. According to data from OpenAlex, Claus‐Dieter Munz has authored 111 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Computational Mechanics, 26 papers in Aerospace Engineering and 19 papers in Applied Mathematics. Recurrent topics in Claus‐Dieter Munz's work include Computational Fluid Dynamics and Aerodynamics (60 papers), Fluid Dynamics and Turbulent Flows (41 papers) and Advanced Numerical Methods in Computational Mathematics (41 papers). Claus‐Dieter Munz is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (60 papers), Fluid Dynamics and Turbulent Flows (41 papers) and Advanced Numerical Methods in Computational Mathematics (41 papers). Claus‐Dieter Munz collaborates with scholars based in Germany, United States and Italy. Claus‐Dieter Munz's co-authors include Michael Dumbser, Dinshaw S. Balsara, Andrea Beck, Gregor J. Gassner, David Flad, Eleuterio F. Toro, Frieder Lörcher, Florian Hindenlang, Tobias Rumpf and Sabine Roller and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Claus‐Dieter Munz

107 papers receiving 2.7k citations

Hit Papers

A unified framework for the construction of one-step fini... 2008 2026 2014 2020 2008 2019 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Claus‐Dieter Munz Germany 26 2.4k 562 412 345 268 111 2.8k
David A. Kopriva United States 28 2.6k 1.1× 392 0.7× 381 0.9× 457 1.3× 290 1.1× 85 3.3k
Gregor J. Gassner Germany 30 2.7k 1.1× 447 0.8× 260 0.6× 439 1.3× 215 0.8× 85 2.9k
H. Deconinck Belgium 25 2.3k 1.0× 699 1.2× 361 0.9× 222 0.6× 166 0.6× 127 2.8k
Hong Luo United States 32 3.4k 1.4× 709 1.3× 435 1.1× 447 1.3× 179 0.7× 205 3.8k
S Rebay Italy 23 3.0k 1.2× 338 0.6× 480 1.2× 564 1.6× 272 1.0× 45 3.6k
Yen Liu United States 28 2.5k 1.0× 1.0k 1.8× 598 1.5× 278 0.8× 298 1.1× 67 3.0k
Wai Sun Don United States 27 2.9k 1.2× 1.1k 1.9× 444 1.1× 522 1.5× 103 0.4× 76 3.5k
William J. Rider United States 26 3.6k 1.5× 354 0.6× 548 1.3× 282 0.8× 257 1.0× 73 4.2k
F. Bassi Italy 25 4.1k 1.7× 392 0.7× 475 1.2× 785 2.3× 350 1.3× 97 4.6k
H. T. Huynh United States 14 2.1k 0.9× 401 0.7× 416 1.0× 232 0.7× 102 0.4× 31 2.3k

Countries citing papers authored by Claus‐Dieter Munz

Since Specialization
Citations

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

Fields of papers citing papers by Claus‐Dieter Munz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Claus‐Dieter Munz. 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 Claus‐Dieter Munz. The network helps show where Claus‐Dieter Munz may publish in the future.

Co-authorship network of co-authors of Claus‐Dieter Munz

This figure shows the co-authorship network connecting the top 25 collaborators of Claus‐Dieter Munz. A scholar is included among the top collaborators of Claus‐Dieter Munz 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 Claus‐Dieter Munz. Claus‐Dieter Munz 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.
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
2.
Munz, Claus‐Dieter, et al.. (2023). Shock capturing for a high-order ALE discontinuous Galerkin method with applications to fluid flows in time-dependent domains. Computers & Fluids. 269. 106124–106124. 2 indexed citations
3.
4.
Munz, Claus‐Dieter, et al.. (2022). A sharp interface framework based on the inviscid Godunov-Peshkov-Romenski equations: Simulation of evaporating fluids. Journal of Computational Physics. 473. 111737–111737. 3 indexed citations
5.
Munz, Claus‐Dieter, et al.. (2022). A relaxation model for the non-isothermal Navier-Stokes-Korteweg equations in confined domains. Journal of Computational Physics. 474. 111830–111830. 7 indexed citations
6.
Schütz, Jochen, et al.. (2018). Comparison of Different Splitting Techniques for the Isentropic Euler Equations. RWTH Publications (RWTH Aachen). 1 indexed citations
7.
Beck, Andrea, David Flad, & Claus‐Dieter Munz. (2018). Neural Networks for Data-Based Turbulence Models. arXiv (Cornell University). 3 indexed citations
8.
Munz, Claus‐Dieter & Thomas Westermann. (2018). Numerische Behandlung gewöhnlicher und partieller Differenzialgleichungen. 2 indexed citations
9.
Munz, Claus‐Dieter, et al.. (2014). Coupled Particle-In-Cell and Direct Simulation Monte Carlo method for simulating reactive plasma flows. Comptes Rendus Mécanique. 342(10-11). 662–670. 49 indexed citations
10.
Pirrung, Georg Raimund, et al.. (2012). Three-Dimensional Numerical Simulation of a 30-GHz Gyrotron Resonator With an Explicit High-Order Discontinuous-Galerkin-Based Parallel Particle-In-Cell Method. IEEE Transactions on Plasma Science. 40(7). 1860–1870. 17 indexed citations
11.
Schneider, R., et al.. (2012). Efficient Parallelization of a Three-Dimensional High-Order Particle-in-Cell Method for the Simulation of a 170 GHz Gyrotron Resonator. IEEE Transactions on Plasma Science. 41(1). 87–98. 13 indexed citations
12.
Hoffmann, Malte, et al.. (2012). Efficient Implementation of the CPR Formulation for the Navier-Stokes Equations on GPUs. 4 indexed citations
13.
Munz, Claus‐Dieter, et al.. (2011). Investigation of the purely hyperbolic maxwell system for divergence cleaning in discontinuous galerkin based particle-in-cell methods. QRU Quaderns de Recerca en Urbanisme. 355–366. 3 indexed citations
14.
Koster, J. N., et al.. (2011). Hyperion: A Global Engineering Design Experience. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
15.
Hindenlang, Florian, et al.. (2011). Unstructured three-dimensional High Order Grids for Discontinuous Galerkin Schemes. 1 indexed citations
16.
Ferrari, Adriano, Claus‐Dieter Munz, & Bernhard Weigand. (2010). A High Order Sharp-Interface Method with Local Time Stepping for Compressible Multiphase Flows. Communications in Computational Physics. 9(1). 205–230. 7 indexed citations
17.
Ali, Irfan, et al.. (2007). Coupling of LES with LEE for Forward Facing Step Noise Prediction. 2 indexed citations
18.
Lörcher, Frieder, Gregor J. Gassner, & Claus‐Dieter Munz. (2007). Space-Time Discontinous Galerkin Method for Unsteady Compressible Navier-Stokes Equations.. 1 indexed citations
19.
Dumbser, Michael & Claus‐Dieter Munz. (2005). ADER discontinuous Galerkin schemes for aeroacoustics. Comptes Rendus Mécanique. 333(9). 683–687. 78 indexed citations
20.
Munz, Claus‐Dieter, et al.. (2005). Multiple-scale modelling of acoustic sources in low Mach-number flow. Comptes Rendus Mécanique. 333(9). 706–712. 2 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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