World's Best Scientists 2026 revealed!
Michael Dellnitz

Michael Dellnitz

D-Index & Metrics

Mathematics

D-Index
38
Citations
6080
World Ranking
2344
National Ranking
143

Michael Dellnitz 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 Dellnitz 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: 130 publications — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Michael Dellnitz 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 Dellnitz 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: 38 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Overview

Michael Dellnitz is affiliated with the University of Paderborn in Germany and has contributed to multiple fields including Engineering, Computer Science, and Physics and Astronomy. Their research spans subfields such as Control and Systems Engineering, Statistical and Nonlinear Physics, Computer Networks and Communications, Numerical Analysis, and Computational Mechanics.

Their work frequently addresses topics like Model Reduction and Neural Networks, Advanced Control Systems Optimization, Iterative Learning Control Systems, Probabilistic and Robust Engineering Design, Numerical methods for differential equations, Distributed Control Multi-Agent Systems, and Lattice Boltzmann Simulation Studies.

Recent publications by Michael Dellnitz include:

  • Efficient Time-Stepping for Numerical Integration Using Reinforcement Learning, 2023, SIAM Journal on Scientific Computing
  • Efficient time stepping for numerical integration using reinforcement learning, 2021, arXiv (Cornell University)
  • Deep model predictive flow control with limited sensor data and online learning, 2020, Theoretical and Computational Fluid Dynamics
  • A Set-Oriented Path Following Method for the Approximation of Parameter Dependent Attractors, 2020, SIAM Journal on Applied Dynamical Systems
  • Electrophysiological signatures of dedifferentiation differ between fit and less fit older adults, 2021, Cognitive Neurodynamics

Frequent co-authors collaborating with Michael Dellnitz include:

  • Sebastian Peitz
  • Raphael Gerlach
  • Eyke Hüllermeier
  • Marvin Lücke
  • Sina Ober-Blöbaum

Michael Dellnitz has published mainly in venues such as arXiv (Cornell University), Theoretical and Computational Fluid Dynamics, SIAM Journal on Scientific Computing, SIAM Journal on Applied Dynamical Systems, and Cognitive Neurodynamics.

Best Publications

  • On the Approximation of Complicated Dynamical Behavior

    Michael Dellnitz;Oliver Junge

  • A subdivision algorithm for the computation of unstable manifolds and global attractors

    Michael Dellnitz;Andreas Hohmann

  • A SURVEY OF METHODS FOR COMPUTING (UN)STABLE MANIFOLDS OF VECTOR FIELDS

    Bernd Krauskopf;Hinke M. Osinga;Eusebius J. Doedel;Michael E. Henderson

  • Chapter 5 - Set Oriented Numerical Methods for Dynamical Systems

    Michael Dellnitz;Oliver Junge

  • The Algorithms Behind GAIO — Set Oriented Numerical Methods for Dynamical Systems

    Michael Dellnitz;Gary Froyland;Oliver Junge

  • Covering Pareto Sets by Multilevel Subdivision Techniques

    M. Dellnitz;O. Schütze;T. Hestermeyer

  • Detecting and Locating Near-Optimal Almost-Invariant Sets and Cycles

    Gary Froyland;Michael Dellnitz

  • Transport in Dynamical Astronomy and Multibody Problems

    Michael Dellnitz;Oliver Junge;Wang Sang Koon;Francois Lekien

  • Covering pareto sets by multilevel evolutionary subdivision techniques

    Oliver Schütze;Sanaz Mostaghim;Michael Dellnitz;Jürgen Teich

  • Exploring invariant sets and invariant measures.

    Michael Dellnitz;Andreas Hohmann;Oliver Junge;Martin Rumpf

  • The Computation of Unstable Manifolds Using Subdivision and Continuation

    Michael Dellnitz;Andreas Hohmann

  • On the isolated spectrum of the Perron-Frobenius operator

    Michael Dellnitz;Gary Froyland;Stefan Sertl

  • Computation of Essential Molecular Dynamics by Subdivision Techniques

    Peter Deuflhard;Michael Dellnitz;Oliver Junge;Christof Schütte

  • On Continuation Methods for the Numerical Treatment of Multi-Objective Optimization Problems

    Oliver Schütze;Alessandro Dell'Aere;Michael Dellnitz

  • Seasonal variability of the subpolar gyres in the Southern Ocean: a numerical investigation based on transfer operators

    M. Dellnitz;G. Froyland;C. Horenkamp;K. Padberg-Gehle

  • An adaptive subdivision technique for the approximation of attractors and invariant measures

    Michael Dellnitz;Oliver Junge

  • The Structure of Symmetric Attractors

    Ian Melbourne;Michael Dellnitz;Martin Golubitsky

  • Convergence of stochastic search algorithms to finite size pareto set approximations

    Oliver Schütze;Marco Laumanns;Carlos A. Coello Coello;Michael Dellnitz

  • Locating all the zeros of an analytic function in one complex variable

    Michael Dellnitz;Oliver Schütze;Qinghua Zheng

  • Designing optimal low-thrust gravity-assist trajectories using space pruning and a multi-objective approach

    Oliver Schütze;Massimiliano Vasile;Oliver Junge;Michael Dellnitz

  • A Survey of Recent Trends in Multiobjective Optimal Control—Surrogate Models, Feedback Control and Objective Reduction

    Sebastian Peitz;Michael Dellnitz

Frequent Co-Authors

Christof Schütte
Christof Schütte Freie Universität Berlin
Jerrold E. Marsden
Jerrold E. Marsden California Institute of Technology
Martin Golubitsky
Martin Golubitsky The Ohio State University
Ian Melbourne
Ian Melbourne University of Warwick
Gary Froyland
Gary Froyland University of New South Wales
Stefan Volkwein
Stefan Volkwein University of Konstanz
Martin Rumpf
Martin Rumpf University of Bonn
J. Nathan Kutz
J. Nathan Kutz University of Washington
Peter Deuflhard
Peter Deuflhard Zuse Institute Berlin
Joachim Bocker
Joachim Bocker University of Paderborn

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