World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
41
Citations
6631
World Ranking
1921
National Ranking
115

Engineering and Technology

D-Index
42
Citations
6710
World Ranking
6592
National Ranking
218

Michael Hintermüller 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 Michael Hintermüller 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: 82 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: 173 publications — 50th percentile

50% of scientists in this discipline score the same or lower.

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

Michael Hintermüller 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 Michael Hintermüller 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: 137 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: 41 D-Index — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Overview

Michael Hintermüller is affiliated with the Weierstrass Institute for Applied Analysis and Stochastics in Germany. Their research primarily spans the fields of Computer Science, Engineering, and Mathematics, with significant contributions to Computational Theory and Mathematics, Applied Mathematics, and Computational Mechanics. The scientist's work also intersects with subfields such as Computer Vision and Pattern Recognition as well as Control and Systems Engineering.

Their main research topics include Optimization and Variational Analysis, Nonlinear Partial Differential Equations, Advanced Mathematical Modeling in Engineering, Contact Mechanics and Variational Inequalities, Model Reduction and Neural Networks, Stability and Controllability of Differential Equations, and Neural Networks and Applications.

Michael Hintermüller has published extensively in various academic venues, including a notable presence in arXiv (Cornell University) with 16 publications. Other frequent publication venues include ESAIM Control Optimisation and Calculus of Variations, Applied Mathematics & Optimization, Numerical Functional Analysis and Optimization, and Computers & Mathematics with Applications.

The scientist's recent papers include:

  • Dualization and Automatic Distributed Parameter Selection of Total Generalized Variation via Bilevel Optimization (2022), published in Numerical Functional Analysis and Optimization
  • A posteriori error control for distributed elliptic optimal control problems with control constraints discretized by hp-finite elements (2020), published in Computers & Mathematics with Applications
  • Optimization with learning-informed differential equation constraints and its applications (2021), published in ESAIM Control Optimisation and Calculus of Variations
  • Risk-neutral PDE-constrained generalized Nash equilibrium problems (2022), published in Mathematical Programming
  • Optimal Control and Directional Differentiability for Elliptic Quasi-Variational Inequalities (2022), published in Set-Valued and Variational Analysis

Throughout their career, Michael Hintermüller has collaborated frequently with several co-authors, including Amal Alphonse, Carlos N. Rautenberg, Kostas Papafitsoros, Guozhi Dong, and Thomas M. Surowiec. These collaborations have contributed to advancing research in their thematic areas.

Best Publications

  • The Primal-Dual Active Set Strategy as a Semismooth Newton Method

    M. Hintermüller;K. Ito;K. Kunisch

  • An Infeasible Primal-Dual Algorithm for Total Bounded Variation--Based Inf-Convolution-Type Image Restoration

    M. Hintermüller;G. Stadler

  • Automated Regularization Parameter Selection in Multi-Scale Total Variation Models for Image Restoration

    Yiqiu Dong;Michael Hintermüller;M. Monserrat Rincon-Camacho

  • Total bounded variation regularization as a bilaterally constrained optimization problem

    Karl Kunisch;Michael Hintermüller

  • A Comparison of a Moreau--Yosida-Based Active Set Strategy and Interior Point Methods for Constrained Optimal Control Problems

    M. Bergounioux;M. Haddou;M. Hintermüller;K. Kunisch

  • Path-following Methods for a Class of Constrained Minimization Problems in Function Space

    Michael Hintermüller;Karl Kunisch

  • A mesh-independence result for semismooth Newton methods

    Michael Hintermüller;Michael Ulbrich

  • Feasible and Noninterior Path-Following in Constrained Minimization with Low Multiplier Regularity

    Unknown

  • Mathematical Programs with Complementarity Constraints in Function Space: C- and Strong Stationarity and a Path-Following Algorithm

    M. Hintermüller;I. Kopacka

  • AN A POSTERIORI ERROR ANALYSIS OF ADAPTIVE FINITE ELEMENT METHODS FOR DISTRIBUTED ELLIPTIC CONTROL PROBLEMS WITH CONTROL CONSTRAINTS

    Michael Hintermüller;Ronald H.W. Hoppe;Ronald H.W. Hoppe;Yuri Iliash;Michael Kieweg

  • A Second Order Shape Optimization Approach for Image Segmentation

    Michael Hintermüller;Wolfgang Ring

  • Second-order topological expansion for electrical impedance tomography

    M. Hintermüller;A. Laurain;A. A. Novotny

  • Nonconvex TV$^q$-Models in Image Restoration: Analysis and a Trust-Region Regularization--Based Superlinearly Convergent Solver

    Michael Hintermüller;Tao Wu

  • Electrical Impedance Tomography: from topology to shape

    Michael Hintermüller;Antoine Laurain

  • Spatially dependent regularization parameter selection in total generalized variation models for image restoration

    Kristian Bredies;Yiqiu Dong;Michael Hintermüller

  • Moreau-Yosida Regularization in State Constrained Elliptic Control Problems: Error Estimates and Parameter Adjustment

    Michael Hintermüller;Michael Hinze

  • Goal-oriented adaptivity in control constrained optimal control of partial differential equations

    Michael Hintermuller;Ronald H.W. Hoppe

  • An Efficient Primal-Dual Method for $L^1$TV Image Restoration

    Yiqiu Dong;Michael Hintermüller;Marrick Neri

  • Optimal Control of a Semidiscrete Cahn--Hilliard--Navier--Stokes System

    Michael Hintermüller;Donat Wegner

  • Multiphase Image Segmentation and Modulation Recovery Based on Shape and Topological Sensitivity

    M. Hintermüller;A. Laurain

  • A Proximal Bundle Method Based on Approximate Subgradients

    Michael Hintermüller

Frequent Co-Authors

Karl Kunisch
Karl Kunisch University of Graz
Michael Hinze
Michael Hinze University of Koblenz and Landau
Stefan Volkwein
Stefan Volkwein University of Konstanz
Gabriele Steidl
Gabriele Steidl Technical University of Berlin
Peter A. Markowich
Peter A. Markowich King Abdullah University of Science and Technology
Florian Knoll
Florian Knoll University of Erlangen-Nuremberg
Martin Skutella
Martin Skutella Technical University of Berlin
Martin Burger
Martin Burger University of Erlangen-Nuremberg
Fredi Tröltzsch
Fredi Tröltzsch Technical University of Berlin
Günter Leugering
Günter Leugering University of Erlangen-Nuremberg

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 students studying Mathematics in the USA, exploring related online degrees can open diverse career opportunities. One popular path is pursuing a data analytics master's degree, which builds on quantitative skills and prepares graduates for roles in tech, finance, and healthcare sectors.

Others might consider advancing their careers with an MBA. Knowing what MBA programs can I get into helps prospective students select programs that align with their academic background and career goals without overwhelming admission requirements.

For those balancing work and study, options like the easiest online MBA provide flexible pathways to gain business acumen and leadership skills. Alternatively, professionals aiming for senior-level or academic roles might explore DBA programs, which are designed to deepen expertise in business administration.

Choosing the right degree depends on individual career objectives, but integrating mathematics with business or analytics domains can enhance job prospects in today's data-driven economy.

Best Scientists Citing Michael Hintermüller

Trending Scientists

Recently Published Articles