World's Best Scientists 2026 revealed!
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Engineering and Technology
Austria
2026
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Mathematics
Austria
2026

D-Index & Metrics

Mathematics

D-Index
73
Citations
22928
World Ranking
231
National Ranking
2

Engineering and Technology

D-Index
73
Citations
23001
World Ranking
848
National Ranking
2

Karl Kunisch 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 Karl Kunisch 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: 433 publications — 95th percentile

95% of scientists in this discipline score the same or lower.

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

Karl Kunisch 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 Karl Kunisch 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: 73 D-Index — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in Austria Leader Award
  • 2026 - Research.com Mathematics in Austria Leader Award
  • 2025 - Research.com Engineering and Technology in Austria Leader Award
  • 2025 - Research.com Mathematics in Austria Leader Award
  • 2023 - Research.com Engineering and Technology in Austria Leader Award
  • 2023 - Research.com Mathematics in Austria Leader Award
  • 2022 - Research.com Engineering and Technology in Austria Leader Award
  • 2017 - SIAM Fellow For contributions to inverse problems, approximation to infinite dimensional control systems, and computational methods.

Overview

Karl Kunisch is affiliated with the University of Graz in Austria. Their research spans several interconnected fields including Engineering, Computer Science, and Mathematics, with a significant focus on Control and Systems Engineering, Computational Theory and Mathematics, and Applied Mathematics.

Their work explores topics such as:

  • Stability and Controllability of Differential Equations
  • Advanced Mathematical Modeling in Engineering
  • Optimization and Variational Analysis
  • Model Reduction and Neural Networks
  • Nonlinear Partial Differential Equations
  • Advanced Numerical Methods in Computational Mathematics
  • Control Systems and Identification

Karl Kunisch has co-authored extensively with several frequent collaborators, including Eduardo Casas, Sérgio S. Rodrigues, Behzad Azmi, Philipp A. Guth, and Tobias Breiten.

The scientist has published numerous papers in well-established venues such as arXiv (Cornell University), Applied Mathematics & Optimization, SIAM Journal on Control and Optimization, ESAIM Control Optimisation and Calculus of Variations, and Mathematical Control and Related Fields.

Among recent papers authored or co-authored by Karl Kunisch are:

  • "Variational Networks: An Optimal Control Approach to Early Stopping Variational Methods for Image Restoration" (2020, Journal of Mathematical Imaging and Vision)
  • "Optimal Feedback Law Recovery by Gradient-Augmented Sparse Polynomial Regression" (2020, arXiv (Cornell University))
  • "Total Deep Variation: A Stable Regularization Method for Inverse Problems" (2021, IEEE Transactions on Pattern Analysis and Machine Intelligence)
  • "Analysis of the Barzilai-Borwein Step-Sizes for Problems in Hilbert Spaces" (2020, Journal of Optimization Theory and Applications)
  • "Tensor Decomposition Methods for High-dimensional Hamilton--Jacobi--Bellman Equations" (2021, SIAM Journal on Scientific Computing)

Karl Kunisch received the SIAM Fellow award in 2017 for contributions related to inverse problems, approximation to infinite dimensional control systems, and computational methods.

Best Publications

  • Total Generalized Variation

    Kristian Bredies;Karl Kunisch;Thomas Pock

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

    M. Hintermüller;K. Ito;K. Kunisch

  • Estimation Techniques for Distributed Parameter Systems

    Harvey Thomas Banks;K. Kunisch

  • Galerkin Proper Orthogonal Decomposition Methods for a General Equation in Fluid Dynamics

    K. Kunisch;S. Volkwein

  • Lagrange multiplier approach to variational problems and applications

    Kazufumi Ito;Karl Kunisch

  • Galerkin proper orthogonal decomposition methods for parabolic problems

    Karl Kunisch;Stefan Volkwein

  • Convergence rates for Tikhonov regularisation of non-linear ill-posed problems

    H W Engl;K Kunisch;A Neubauer

  • Control of the Burgers equation by a reduced-order approach using proper orthogonal decomposition

    K. Kunisch;S. Volkwein

  • Primal-Dual Strategy for Constrained Optimal Control Problems

    Maïtine Bergounioux;Kazufumi Ito;Karl Kunisch

  • Augemented Lagrangian Techniques for Elliptic State Constrained Optimal Control Problems

    Maitine Bergounioux;Karl Kunisch

  • The linear regulator problem for parabolic systems

    H. T. Banks;K. Kunisch

  • Level-set function approach to an inverse interface problem

    Kazufumi Ito;Karl Kunisch;Zhilin Li

  • Second Order Methods for Optimal Control of Time-Dependent Fluid Flow

    Michael Hinze;Karl Kunisch

  • A Bilevel Optimization Approach for Parameter Learning in Variational Models

    Karl Kunisch;Thomas Pock

  • Proper orthogonal decomposition for optimality systems

    Karl Kunisch;Stefan Volkwein

  • L2-regularity for parabolic partial integrodifferential equations with delay in the highest-order derivatives

    Gabriella Di Blasio;Karl Kunisch;Eugenio Sinestrari

  • Optimal a posteriori parameter choice for Tikhonov regularization for solving nonlinear ill-posed problems

    O. Scherzer;H. W. Engl;K. Kunisch

  • HJB-POD-Based Feedback Design for the Optimal Control of Evolution Problems

    Karl Kunisch;Stefan Volkwein;Lei Xie

  • Primal-Dual Strategy for State-Constrained Optimal Control Problems

    Maítine Bergounioux;Karl Kunisch

  • The augmented lagrangian method for parameter estimation in elliptic systems

    Kazufumi Ito;Karl Kunisch

Frequent Co-Authors

Kazufumi Ito
Kazufumi Ito North Carolina State University
Michael Hintermüller
Michael Hintermüller Weierstrass Institute for Applied Analysis and Stochastics
Eduardo Casas
Eduardo Casas University of Cantabria
Gernot Plank
Gernot Plank Medical University of Graz
Boris Vexler
Boris Vexler Technical University of Munich
Thomas Pock
Thomas Pock Graz University of Technology
Stefan Volkwein
Stefan Volkwein University of Konstanz
Harvey Thomas Banks
Harvey Thomas Banks North Carolina State University
Michael Hinze
Michael Hinze University of Koblenz and Landau
Günter Leugering
Günter Leugering University of Erlangen-Nuremberg

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