World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
37
Citations
6913
World Ranking
2466
National Ranking
153

Engineering and Technology

D-Index
37
Citations
7088
World Ranking
8289
National Ranking
278

Hermann G. Matthies publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Hermann G. Matthies sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 207 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Hermann G. Matthies D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Hermann G. Matthies sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 37 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

Overview

Hermann G. Matthies is affiliated with Technische Universität Braunschweig in Germany. Their research spans multiple areas within engineering and decision sciences, with a focus on uncertainty quantification, computational mechanics, and material modeling. The primary fields of study include Engineering and Decision Sciences, supported by substantial work in subfields such as Statistics, Probability and Uncertainty, Mechanics of Materials, Civil and Structural Engineering, Computational Mathematics, and Statistical and Nonlinear Physics.

The scientist's work covers a wide range of topics, notably:

  • Probabilistic and Robust Engineering Design
  • Composite Material Mechanics
  • Tensor decomposition and applications
  • Numerical methods in engineering
  • Structural Health Monitoring Techniques
  • Rock Mechanics and Modeling
  • Model Reduction and Neural Networks

Matthies has contributed to prominent journals and publication venues, including:

  • Computer Methods in Applied Mechanics and Engineering
  • arXiv (Cornell University)
  • Metals
  • Journal of Computational Physics
  • Advanced Modeling and Simulation in Engineering Sciences

Their recent papers illustrate a focus on probabilistic and computational approaches to material and fracture modeling, including:

  • "A modified parallelepiped model for non-probabilistic uncertainty quantification and propagation analysis," 2020, Computer Methods in Applied Mechanics and Engineering
  • "Stochastic phase-field modeling of brittle fracture: computing multiple crack patterns and their probabilities," 2020, arXiv (Cornell University)
  • "Comparison of Bayesian Methods on Parameter Identification for a Viscoplastic Model with Damage," 2020, Metals
  • "Parameter identification for phase-field modeling of fracture: a Bayesian approach with sampling-free update," 2020, Computational Mechanics
  • "FFT-based homogenisation accelerated by low-rank tensor approximations," 2020, Computer Methods in Applied Mechanics and Engineering

Frequent collaborations have been observed with researchers such as Bojana Rosić, Adnan Ibrahimbegović, Jaroslav Vondřejc, Laura De Lorenzis, and Sharana Kumar Shivanand. These collaborations further emphasize the interdisciplinary nature of Matthies's research activities.

Best Publications

  • The solution of nonlinear finite element equations

    Hermann Matthies;Gilbert Strang

  • Galerkin methods for linear and nonlinear elliptic stochastic partial differential equations

    Hermann G. Matthies;Andreas Keese

  • Uncertainties in probabilistic numerical analysis of structures and solids-Stochastic finite elements

    Hermann G. Matthies;Christoph E. Brenner;Christian G. Bucher;C. Guedes Soares

  • Partitioned Strong Coupling Algorithms for Fluid-Structure-Interaction

    Hermann G. Matthies;Jan Steindorf

  • Algorithms for strong coupling procedures

    Hermann G. Matthies;Rainer Niekamp;Jan Steindorf

  • Efficient model reduction in non-linear dynamics using the Karhunen-Loève expansion and dual-weighted-residual methods

    Marcus Meyer;Hermann G. Matthies

  • Partitioned but strongly coupled iteration schemes for nonlinear fluid-structure interaction

    Hermann G. Matthies;Jan Steindorf

  • Finite elements for stochastic media problems

    Hermann G. Matthies;Christian Bucher

  • Parameter identification in a probabilistic setting

    Bojana V. Rosić;Bojana V. Rosić;Anna Kučerová;Jan Sýkora;Oliver Pajonk

  • Application of hierarchical matrices for computing the Karhunen–Loève expansion

    B. N. Khoromskij;A. Litvinenko;H. G. Matthies

  • Nonlinear fluid---structure interaction problem. Part I: implicit partitioned algorithm, nonlinear stability proof and validation examples

    Christophe Kassiotis;Adnan Ibrahimbegovic;Rainer Niekamp;Hermann G. Matthies

  • Stochastic finite elements: Computational approaches to stochastic partial differential equations

    Hermann G. Matthies

  • Hierarchical parallelisation for the solution of stochastic finite element equations

    Andreas Keese;Hermann G. Matthies

  • Uncertainty Quantification with Stochastic Finite Elements

    Hermann G. Matthies

  • QUANTIFYING UNCERTAINTY: MODERN COMPUTATIONAL REPRESENTATION OF PROBABILITY AND APPLICATIONS

    Hermann G. Matthies

  • Solving stochastic systems with low-rank tensor compression

    Hermann G. Matthies;Elmar Zander

  • Sampling-free linear Bayesian update of polynomial chaos representations

    Bojana V. Rosić;Alexander Litvinenko;Oliver Pajonk;Hermann G. Matthies

  • Efficient low-rank approximation of the stochastic Galerkin matrix in tensor formats

    Mike Espig;Wolfgang Hackbusch;Alexander Litvinenko;Hermann G. Matthies

  • A deterministic filter for non-Gaussian Bayesian estimation— Applications to dynamical system estimation with noisy measurements

    Oliver Pajonk;Bojana V. Rosić;Alexander Litvinenko;Hermann G. Matthies

  • Efficient Analysis of High Dimensional Data in Tensor Formats

    Mike Espig;Wolfgang Hackbusch;Alexander Litvinenko;Hermann G. Matthies

Frequent Co-Authors

Adnan Ibrahimbegovic
Adnan Ibrahimbegovic University of Technology of Compiègne
Boris N. Khoromskij
Boris N. Khoromskij Max Planck Institute for Mathematics in the Sciences
Roger Ohayon
Roger Ohayon Conservatoire National des Arts et Métiers
Wolfgang Hackbusch
Wolfgang Hackbusch Max Planck Institute for Mathematics in the Sciences
David E. Keyes
David E. Keyes King Abdullah University of Science and Technology
C. Guedes Soares
C. Guedes Soares Instituto Superior Técnico
Ali Kaveh
Ali Kaveh Iran University of Science and Technology
Giuseppe Gambolati
Giuseppe Gambolati University of Padua

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