World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
39
Citations
6704
World Ranking
2192
National Ranking
138

Engineering and Technology

D-Index
38
Citations
6681
World Ranking
7982
National Ranking
270

Mario Ohlberger 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 Mario Ohlberger 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: 162 publications — 45th percentile

45% of scientists in this discipline score the same or lower.

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

Mario Ohlberger 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 Mario Ohlberger 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: 39 D-Index — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Overview

Mario Ohlberger is affiliated with the University of Münster in Germany. Their research predominantly spans the fields of Engineering and Physics and Astronomy, with significant contributions to subfields including Statistical and Nonlinear Physics, Computational Mechanics, Numerical Analysis, Computational Theory and Mathematics, and Mechanics of Materials.

Their work centers on several main topics, notably Model Reduction and Neural Networks, Advanced Numerical Methods in Computational Mathematics, Numerical Methods for Differential Equations, Advanced Mathematical Modeling in Engineering, Probabilistic and Robust Engineering Design, Electromagnetic Simulation and Numerical Methods, and Nuclear Reactor Physics and Engineering.

Ohlberger has contributed to numerous publications in well-known venues. Frequent publication outlets include arXiv (Cornell University), ESAIM Mathematical Modelling and Numerical Analysis, SIAM Journal on Scientific Computing, Nature Communications, and Advances in Computational Mathematics.

Their recent papers include:

  • "A non-conforming dual approach for adaptive Trust-Region reduced basis approximation of PDE-constrained parameter optimization" (2021) published in ESAIM Mathematical Modelling and Numerical Analysis
  • "A New Certified Hierarchical and Adaptive RB-ML-ROM Surrogate Model for Parametrized PDEs" (2023) published in SIAM Journal on Scientific Computing
  • "The Dune framework: Basic concepts and recent developments" (2020) published in Computers & Mathematics with Applications
  • "Dynamic interplay of microtubule and actomyosin forces drive tissue extension" (2024) published in Nature Communications
  • "Adaptive machine learning-based surrogate modeling to accelerate PDE-constrained optimization in enhanced oil recovery" (2022) published in Advances in Computational Mathematics

Frequent co-authors who have collaborated extensively with Ohlberger include Tim Keil, Felix Schindler, Hendrik Kleikamp, Tobias Leibner, and Christian Engwer.

Best Publications

  • A generic grid interface for parallel and adaptive scientific computing. Part II: implementation and tests in DUNE

    P. Bastian;M. Blatt;A. Dedner;C. Engwer

  • REDUCED BASIS METHOD FOR FINITE VOLUME APPROXIMATIONS OF PARAMETRIZED LINEAR EVOLUTION EQUATIONS

    Bernard Haasdonk;Mario Ohlberger

  • A generic grid interface for parallel and adaptive scientific computing. Part I: abstract framework

    P. Bastian;M. Blatt;A. Dedner;C. Engwer

  • Model Reduction and Approximation: Theory and Algorithms

    Peter Benner;Albert Cohen;Mario Ohlberger;Karen Willcox

  • Finite Volume Methods: Foundation and Analysis

    Timothy Barth;Mario Ohlberger;Mario Ohlberger

  • Reduced Basis Approximation for Nonlinear Parametrized Evolution Equations based on Empirical Operator Interpolation

    Martin Drohmann;Bernard Haasdonk;Mario Ohlberger

  • A training set and multiple bases generation approach for parameterized model reduction based on adaptive grids in parameter space

    Bernard Haasdonk;Markus Dihlmann;Mario Ohlberger

  • A generic interface for parallel and adaptive discretization schemes: abstraction principles and the Dune - Fem module

    Andreas Dedner;Robert Klöfkorn;Martin Nolte;Mario Ohlberger

  • A posteriori error estimates for upwind finite volume schemes for nonlinear conservation laws in multi dimensions

    Dietmar Kröner;Mario Ohlberger

  • Nonlinear reduced basis approximation of parameterized evolution equations via the method of freezing

    Mario Ohlberger;Stephan Rave

  • Efficient reduced models and a posteriori error estimation for parametrized dynamical systems by offline/online decomposition

    Bernard Haasdonk;Mario Ohlberger

  • A posteriori error estimates for vertex centered finite volume approximations of convection-diffusion-reaction equations

    Mario Ohlberger

  • Model Reduction of Parametrized Systems

    Peter Benner;Mario Ohlberger;Anthony T. Patera;Gianluigi Rozza

  • Reduced Basis Methods: Success, Limitations and Future Challenges

    Mario Ohlberger;Stephan Rave

  • The DUNE framework: Basic concepts and recent developments

    Peter Bastian;Markus Blatt;Andreas Dedner;Nils Arne Dreier

  • A Posteriori Error Estimates for the Heterogeneous Multiscale Finite Element Method for Elliptic Homogenization Problems

    Mario Ohlberger

  • Error Control for the Localized Reduced Basis Multiscale Method with Adaptive On-Line Enrichment

    Mario Ohlberger;Felix Schindler

  • The heterogeneous multiscale finite element method for elliptic homogenization problems in perforated domains

    Patrick Henning;Mario Ohlberger

  • Hierarchical and adaptive visualization on nested grids

    M. Ohlberger;M. Rumpf

  • An Introduction to Recent Developments in Theory and Numerics for Conservation Laws

    Dietmar Kröner;Mario Ohlberger;Christian Rohde

  • An introduction to recent developments in theory and numerics for conservation laws : proceedings of the International School on Theory and Numerics for Conservation Laws, Freiburg/Littenweiler, October 20-24, 1997

    Numerics;Dietmar Kröner

Frequent Co-Authors

Stefan Turek
Stefan Turek TU Dortmund University
Martin Rumpf
Martin Rumpf University of Bonn
Peter Benner
Peter Benner Max Planck Institute for Dynamics of Complex Technical Systems
Arnulf Latz
Arnulf Latz German Aerospace Center
Gianluigi Rozza
Gianluigi Rozza International School for Advanced Studies
Stefan Volkwein
Stefan Volkwein University of Konstanz
Albert Cohen
Albert Cohen Google (United States)
Volker Schmidt
Volker Schmidt University of Ulm
Karen Willcox
Karen Willcox The University of Texas at Austin

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

For those interested in expanding their career options beyond Mathematics, numerous online degrees offer flexible pathways. Many professionals seek the shortest online MBA programs to quickly gain leadership and business skills without committing to lengthy study periods. These accelerated formats allow students to balance work, life, and education efficiently.

Additionally, specialized fields like marketing have affordable and high-return options. Exploring marketing graduate programs online can lead to lucrative roles that complement analytical skills gained in Mathematics.

For those preferring structured timelines, year long MBA programs provide an intensive yet manageable way to earn valuable credentials. Such programs often emphasize practical knowledge suited for swift career advancement.

Furthermore, many online business degrees emphasize flexibility through credit recognition. Checking for MBA transfer credits can reduce time and cost by allowing previous coursework to count towards a new degree.

Combining a strong foundation in Mathematics with these relevant online programs can open doors to diverse and rewarding career opportunities.

Best Scientists Citing Mario Ohlberger

Trending Scientists

Recently Published Articles