World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
43
Citations
9582
World Ranking
1673
National Ranking
96

Dietrich Braess 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 Dietrich Braess 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: 146 publications — 36th percentile

36% of scientists in this discipline score the same or lower.

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

Dietrich Braess 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 Dietrich Braess 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: 43 D-Index — 54th percentile

54% of scientists in this discipline score the same or lower.

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

Overview

Dietrich Braess is affiliated with Ruhr University Bochum in Germany. The academic profile does not list recent papers, co-authors, frequent publication venues, or book publications linked to this researcher.

No specific main fields of study, subfields, or main research topics are provided in the available data. Likewise, there is no record of awards received.

The absence of detailed publication records or coauthor information suggests a limited publicly available data footprint or a focus on areas not captured by the dataset. The scientist is currently living and active or at least not reported as deceased.

Best Publications

  • Finite Elements: Theory, Fast Solvers, and Applications in Solid Mechanics

    Dietrich Braess

  • Über ein Paradoxon aus der Verkehrsplanung

    Dietrich Braess

  • On a Paradox of Traffic Planning

    Dietrich Braess;Anna Nagurney;Tina Wakolbinger

  • Nonlinear Approximation Theory

    Dietrich Braess

  • A New Convergence Proof for the Multigrid Method Including the V-Cycle

    D. Braess;W. Hackbusch

  • Equilibrated residual error estimator for edge elements

    Dietrich Braess;Joachim Schöberl

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

    D. Braess;R. Verfürth

  • Towards algebraic multigrid for elliptic problems of second order

    D. Braess

  • An efficient smoother for the Stokes problem

    D. Braess;R. Sarazin

  • Approximation of 1/x by exponential sums in [1, ∞)

    Dietrich Braess;Wolfgang Hackbusch

  • Equilibrated residual error estimates are p-robust

    Dietrich Braess;Veronika Pillwein;Joachim Schöberl

  • A Multigrid Algorithm for the Mortar Finite Element Method

    Dietrich Braess;Wolfgang Dahmen;Christian Wieners

  • A posteriori error estimators for obstacle problems – another look

    Dietrich Braess

  • Finite Elemente : Theorie, schnelle Löser und Anwendungen in der Elastizitätstheorie

    Dietrich Braess

  • The contraction number of a multigrid method for solving the Poisson equation

    Dietrich Braess

  • Convergence analysis of a conforming adaptive finite element method for an obstacle problem

    Dietrich Braess;Carsten Carstensen;Ronald H. W. Hoppe

  • A class of equivalent enhanced assumed strain and hybrid stress finite elements

    M. Bischoff;E. Ramm;D. Braess

  • Chebyshev approximation by spline functions with free knots

    Dietrich Braess

  • The convergence rate of a multigrid method with Gauss-Seidel relaxation for the Poisson equation

    Dietrich Braess

  • Enhanced assumed strain elements and locking in membrane problems

    Dietrich Braess

Frequent Co-Authors

Wolfgang Hackbusch
Wolfgang Hackbusch Max Planck Institute for Mathematics in the Sciences
Holger Dette
Holger Dette Ruhr University Bochum
Carsten Carstensen
Carsten Carstensen Humboldt-Universität zu Berlin
Larry L. Schumaker
Larry L. Schumaker Vanderbilt University
Stefan A. Sauter
Stefan A. Sauter University of Zurich
Wolfgang Dahmen
Wolfgang Dahmen University of South Carolina
Nira Dyn
Nira Dyn Tel Aviv University
Peter Grassberger
Peter Grassberger Forschungszentrum Jülich

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Pursuing a Mathematics degree in the USA opens doors to diverse online education opportunities beyond traditional programs. For those looking to complement their math skills with business expertise, the shortest mba program online offers a convenient path to gain managerial knowledge quickly, ideal for professionals eager to advance their careers without long study commitments.

Students aiming to break into marketing or data-driven business roles can consider affordable options, with several universities offering some of the cheapest online marketing degree programs that still deliver valuable industry-relevant skills and potential for strong earnings. Combining math proficiency with marketing analytics can be a powerful career differentiator.

Time-conscious learners might explore intensive tracks such as the 1 year mba programs, which provide rigorous business education in an accelerated format. This is particularly useful for math graduates seeking rapid transition into leadership roles.

Additionally, many online programs offer flexibility by allowing students to can you transfer mba credits from previous studies, making it easier to build on existing academic work and reduce time to degree completion. Exploring these pathways can help Mathematics graduates tailor their education to career ambitions effectively.

Best Scientists Citing Dietrich Braess

Trending Scientists

Recently Published Articles