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Rüdiger Verfürth

Rüdiger Verfürth

D-Index & Metrics

Mathematics

D-Index
30
Citations
7793
World Ranking
3424
National Ranking
210

Rüdiger Verfürth 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 Rüdiger Verfürth 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: 60 publications — 1st percentile

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

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

Rüdiger Verfürth 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 Rüdiger Verfürth 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: 30 D-Index — 5th percentile

5% of scientists in this discipline score the same or lower.

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

Overview

Rüdiger Verfürth is affiliated with Ruhr University Bochum in Germany. Their research primarily focuses on areas within engineering and computer science, particularly emphasizing computational mechanics and mathematical methods.

Their work spans several subfields of study, including:

  • Computational Mechanics
  • Computational Theory and Mathematics
  • Mechanics of Materials
  • Statistical and Nonlinear Physics
  • Numerical Analysis

Key research topics addressed in their publications cover:

  • Advanced Numerical Methods in Computational Mathematics
  • Numerical methods in engineering
  • Model Reduction and Neural Networks
  • Matrix Theory and Algorithms
  • Advanced Optimization Algorithms Research
  • Optimization and Variational Analysis
  • Numerical methods for differential equations

Rüdiger Verfürth has contributed to multiple papers, notable among which are:

  • "Quasi-Optimal and Pressure Robust Discretizations of the Stokes Equations by Moment- and Divergence-Preserving Operators" (2020), published in Computational Methods in Applied Mathematics
  • "Quasi-monotonicity and Robust Localization with Continuous Piecewise Polynomials" (2021), published on arXiv (Cornell University)
  • "Robust a posteriori error estimators with error-dominated oscillation for the reaction-diffusion equation" (2021), published on arXiv (Cornell University)
  • "Quasi-optimal and pressure robust discretizations of the Stokes equations by moment- and divergence-preserving operators" (2020), published on arXiv (Cornell University)

Frequent publication venues for their work include:

  • arXiv (Cornell University)
  • Computational Methods in Applied Mathematics

Collaborations have involved several co-authors with multiple joint publications, including:

  • Christian Kreuzer
  • Pietro Zanotti
  • Francesca Tantardini

Best Publications

  • A Review of a Posteriori Error Estimation and Adaptive Mesh-Refinement Techniques

    Rüdiger Verfürth

  • A posteriori error estimation and adaptive mesh-refinement techniques

    R. Verfürth

  • A Posteriori Error Estimation Techniques for Finite Element Methods

    Rüdiger Verfürth

  • A posteriori error estimators for the Stokes equations

    R. Verfürth

  • A posteriori error estimators for convection-diffusion equations

    Rüdiger Verfürth

  • Error estimates for a mixed finite element approximation of the Stokes equations

    R. Verfürth

  • Edge Residuals Dominate A Posteriori Error Estimates for Low Order Finite Element Methods

    Carsten Carstensen;Rüdiger Verfürth

  • Adaptive finite element methods for elliptic equations with non-smooth coefficients

    Christine Bernardi;Rüdiger Verfürth

  • A Posteriori Error Estimators for the Raviart--Thomas Element

    D. Braess;R. Verfürth

  • Finite element approximation of incompressible Navier-Stokes equations with slip boundary condition

    R. Verfürth

  • A posteriori error estimates for finite element discretizations of the heat equation

    R. Verfürth

  • Robust A Posteriori Error Estimates for Stationary Convection-Diffusion Equations

    R. Verfürth

  • Analysis of a streamline diffusion finite element method for the Stokes and Navier-Stokes equations

    Lutz Tobiska;Rüdiger Verfürth

  • A review of a posteriori error estimation techniques for elasticity problems

    R. Verfürth

  • A combined conjugate gradient - multi-grid algorithm for the numerical solution of the Stokes problem

    Rudiger Verfurth

  • Error estimates for some quasi-interpolation operators

    Rüdiger Verfürth

  • Robust a posteriori error estimators for a singularly perturbed reaction-diffusion equation

    R. Verfürth

  • A note on polynomial approximation in Sobolev spaces

    Rüdiger Verfürth

  • Edge residuals dominate a posteriori error estimates for linear finite element methods on anisotropic triangular and tetrahedral meshes

    Gerd Kunert;Rüdiger Verfürth

  • A posteriori error estimates for nonlinear problems. 𝐿^{𝑟}(0,𝑇;𝐿^{𝜌}(Ω))-error estimates for finite element discretizations of parabolic equations

    Unknown

  • Explicit Upper Bounds for Dual Norms of Residuals

    Andreas Veeser;Rüdiger Verfürth

  • Robust A Posteriori Error Estimates for Nonstationary Convection-Diffusion Equations

    Unknown

  • A Posteriori Error Estimates for Non-Linear Problems

    R. Verfürth

Frequent Co-Authors

Lutz Tobiska
Lutz Tobiska Otto-von-Guericke University Magdeburg
Carsten Carstensen
Carsten Carstensen Humboldt-Universität zu Berlin
Dietrich Braess
Dietrich Braess Ruhr University Bochum

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