World's Best Scientists 2026 revealed!
Claus-Dieter Munz

Claus-Dieter Munz

D-Index & Metrics

Engineering and Technology

D-Index
30
Citations
4978
World Ranking
9754
National Ranking
322

Claus-Dieter Munz publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Claus-Dieter Munz sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 237 publications — 61st percentile

61% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Claus-Dieter Munz D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Claus-Dieter Munz sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 30 D-Index — 1st percentile

1% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Claus-Dieter Munz is affiliated with the University of Stuttgart in Germany and has made significant contributions in the field of engineering, focusing primarily on computational mechanics. Their body of research covers a range of subfields including applied mathematics, environmental engineering, statistics, probability and uncertainty, as well as aerospace engineering.

The scientist's work concentrates on advanced numerical methods with a strong emphasis on computational fluid dynamics and aerodynamics. Key topics addressed in their research include fluid dynamics and turbulent flows, gas dynamics and kinetic theory, wind and air flow studies, probabilistic and robust engineering design, and lattice Boltzmann simulation studies.

Munz's recent publications highlight their engagement with high-order discontinuous Galerkin methods, shock capturing techniques, and interface methods for computational fluid dynamics. Notable recent papers include:

  • A p-Adaptive Discontinuous Galerkin Method with hp-Shock Capturing (2022, Journal of Scientific Computing)
  • Comparison of macro- and microscopic solutions of the Riemann problem II. Two-phase shock tube (2020, Journal of Computational Physics)
  • An Efficient Sliding Mesh Interface Method for High-Order Discontinuous Galerkin Schemes (2020, arXiv (Cornell University))
  • A parabolic relaxation model for the Navier-Stokes-Korteweg equations (2020, Journal of Computational Physics)
  • FLEXI: A high order discontinuous Galerkin framework for hyperbolic-parabolic conservation laws (2020, Computers & Mathematics with Applications)

They have frequently published in venues such as:

  • arXiv (Cornell University)
  • Journal of Computational Physics
  • SSRN Electronic Journal
  • Computers & Fluids
  • Journal of Scientific Computing

Munz has collaborated extensively with several co-authors, among whom are:

  • Andrea Beck
  • Steven Jöns
  • Jakob Dürrwächter
  • Pascal Mossier
  • Christian Rohde

The scientist's research contributions involve the development and application of computational methods in fluid dynamics and engineering design, touching multiple interdisciplinary topics and employing both theoretical and practical approaches to problems in the aerospace and environmental contexts.

Best Publications

  • Hyperbolic divergence cleaning for the MHD equations

    A. Dedner;F. Kemm;D. Kröner;C.-D. Munz

  • On Godunov-type methods near low densities

    B. Einfeldt;C. D. Munz;P. L. Roe;B. Sjögreen

  • A unified framework for the construction of one-step finite volume and discontinuous Galerkin schemes on unstructured meshes

    Michael Dumbser;Dinshaw S. Balsara;Eleuterio F. Toro;Claus-Dieter Munz

  • Divergence Correction Techniques for Maxwell Solvers Based on a Hyperbolic Model

    C.-D. Munz;P. Omnes;R. Schneider;E. Sonnendrücker

  • Deep neural networks for data-driven LES closure models

    Andrea Beck;David Flad;Claus-Dieter Munz

  • Efficient, high accuracy ADER-WENO schemes for hydrodynamics and divergence-free magnetohydrodynamics

    Dinshaw S. Balsara;Tobias Rumpf;Michael Dumbser;Claus-Dieter Munz

  • High‐order discontinuous Galerkin spectral element methods for transitional and turbulent flow simulations

    Andrea D. Beck;Thomas Bolemann;David Flad;Hannes Frank

  • Explicit Discontinuous Galerkin methods for unsteady problems

    Florian Hindenlang;Gregor J. Gassner;Christoph Altmann;Andrea Beck

  • The extension of incompressible flow solvers to the weakly compressible regime

    C.-D. Munz;S. Roller;R. Klein;K.J. Geratz

  • A contribution to the construction of diffusion fluxes for finite volume and discontinuous Galerkin schemes

    Gregor Gassner;Frieder Lörcher;Claus-Dieter Munz

  • Building Blocks for Arbitrary High Order Discontinuous Galerkin Schemes

    Michael Dumbser;Claus-Dieter Munz

  • New Algorithms for Ultra-relativistic Numerical Hydrodynamics

    V. Schneider;U. Katscher;D.H. Rischke;B. Waldhauser

  • Asymptotic adaptive methods for multi-scale problems in fluid mechanics

    R. Klein;R. Klein;N. Botta;T. Schneider;C.D. Munz

  • Numerical simulations of nonstationary fronts and interfaces by the Godunov method in moving grids

    V. E. Fortov;B. Goel;C.-D. Munz;A. L. Ni

  • ADER: A High-Order Approach for Linear Hyperbolic Systems in 2D

    T. Schwartzkopff;C. D. Munz;E. F. Toro

  • A Discontinuous Galerkin Scheme based on a Space-Time Expansion II. Viscous Flow Equations in Multi Dimensions

    G. Gassner;F. Lörcher;C. D. Munz

  • Fast high order ADER schemes for linear hyperbolic equations

    Thomas Schwartzkopff;Michael Dumbser;Claus-Dieter Munz

  • A sub-cell based indicator for troubled zones in RKDG schemes and a novel class of hybrid RKDG+HWENO schemes

    Dinshaw S. Balsara;Christoph Altmann;Christoph Altmann;Claus-Dieter Munz;Michael Dumbser

  • ADER discontinuous Galerkin schemes for aeroacoustics

    Michael Dumbser;Claus-Dieter Munz

  • A Discontinuous Galerkin Scheme Based on a Space—Time Expansion. I. Inviscid Compressible Flow in One Space Dimension

    F. Lörcher;G. Gassner;C.-D. Munz

  • Efficient Parallelization of a Shock Capturing for Discontinuous Galerkin Methods using Finite Volume Sub-cells

    Matthias Sonntag;Claus-Dieter Munz

  • Polymorphic nodal elements and their application in discontinuous Galerkin methods

    Gregor J. Gassner;Frieder Lörcher;Claus-Dieter Munz;Jan S. Hesthaven

  • Linearized acoustic perturbation equations for low Mach number flow with variable density and temperature

    Claus-Dieter Munz;Michael Dumbser;Sabine Roller

  • Explicit one-step time discretizations for discontinuous Galerkin and finite volume schemes based on local predictors

    Gregor Gassner;Michael Dumbser;Florian Hindenlang;Claus-Dieter Munz

  • Shock Capturing for Discontinuous Galerkin Methods using Finite Volume Subcells

    Matthias Sonntag;Claus-Dieter Munz

  • Maxwell's equations when the charge conservation is not satisfied

    Claus-Dieter Munz;Rudolf Schneider;Eric Sonnendrücker;Ursula Voss

  • Efficient implementation of high order unstructured WENO schemes for cavitating flows

    Michael Dumbser;Uwe Iben;Claus-Dieter Munz

  • Coupled Particle-In-Cell and Direct Simulation Monte Carlo method for simulating reactive plasma flows

    Claus-Dieter Munz;Monika Auweter-Kurtz;Stefanos Fasoulas;Asim Mirza

  • An explicit discontinuous Galerkin scheme with local time-stepping for general unsteady diffusion equations

    Frieder Lörcher;Gregor Gassner;Claus-Dieter Munz

  • Simulation of underresolved turbulent flows by adaptive filtering using the high order discontinuous Galerkin spectral element method

    David Flad;Andrea Beck;Claus-Dieter Munz

  • Deep Neural Networks for Data-Driven Turbulence Models.

    Andrea D. Beck;David G. Flad;Claus-Dieter Munz

Frequent Co-Authors

Michael Dumbser
Michael Dumbser University of Trento
Rupert Klein
Rupert Klein Freie Universität Berlin
Thomas Ertl
Thomas Ertl University of Stuttgart
Bernhard Weigand
Bernhard Weigand University of Stuttgart
Johan Larsson
Johan Larsson University of Maryland, College Park
Andreas Kronenburg
Andreas Kronenburg University of Stuttgart
Daniel Weiskopf
Daniel Weiskopf University of Stuttgart
Jadran Vrabec
Jadran Vrabec Technical University of Berlin
Rainer Helmig
Rainer Helmig University of Stuttgart
Eleuterio F. Toro
Eleuterio F. Toro University of Trento

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