World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
58
Citations
30317
World Ranking
2418
National Ranking
72

Ulrich Parlitz publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Ulrich Parlitz sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 207 publications — 51st percentile

51% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Ulrich Parlitz D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Ulrich Parlitz sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 58 D-Index — 75th percentile

75% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Ulrich Parlitz is affiliated with the Max Planck Institute for Dynamics and Self-Organization in Germany. Their research spans multiple fields including Computer Science, Physics and Astronomy, and Medicine, with particular focus on subfields such as Statistical and Nonlinear Physics, Computer Networks and Communications, Cardiology and Cardiovascular Medicine, Cognitive Neuroscience, and Cellular and Molecular Neuroscience.

Their work primarily addresses topics like Nonlinear Dynamics and Pattern Formation, Cardiac electrophysiology and arrhythmias, stochastic dynamics and bifurcation, Chaos control and synchronization, Neural dynamics and brain function, Quantum chaos and dynamical systems, and Evolution and Genetic Dynamics.

Among their recent papers are:

  • High-Resolution Optical Measurement of Cardiac Restitution, Contraction, and Fibrillation Dynamics in Beating vs. Blebbistatin-Uncoupled Isolated Rabbit Hearts (2020, Frontiers in Physiology)
  • Drift and termination of spiral waves in optogenetically modified cardiac tissue at sub-threshold illumination (2021, eLife)
  • GPU accelerated study of a dual-frequency driven single bubble in a 6-dimensional parameter space: The active cavitation threshold (2020, Ultrasonics Sonochemistry)
  • Estimating fractal dimensions: A comparative review and open source implementations (2023, Chaos An Interdisciplinary Journal of Nonlinear Science)
  • Some elements for a history of the dynamical systems theory (2021, Chaos An Interdisciplinary Journal of Nonlinear Science)

Ulrich Parlitz has collaborated frequently with several coauthors, including:

  • Stefan Luther
  • George Datseris
  • Thomas Lilienkamp
  • Ferenc Hegedűs
  • Alexander Schlemmer

The scientist's publications have appeared repeatedly in specific venues, notably:

  • Chaos An Interdisciplinary Journal of Nonlinear Science
  • Frontiers in Network Physiology
  • Default Digital Object Group
  • Frontiers in Physiology
  • Frontiers in Applied Mathematics and Statistics

Ulrich Parlitz has also contributed to book literature with a publication titled "Nonlinear Dynamics" in 2022, released by Springer International Publishing.

Best Publications

  • Synchronization of chaotic systems

    U. Parlitz;L. Junge

  • General approach for chaotic synchronization with applications to communication.

    L. Kocarev;U. Parlitz

  • Generalized synchronization, predictability, and equivalence of unidirectionally coupled dynamical systems.

    L. Kocarev;U. Parlitz

  • EXPERIMENTAL DEMONSTRATION OF SECURE COMMUNICATIONS VIA CHAOTIC SYNCHRONIZATION

    Lj. Kocarev;K. S. Halle;K. Eckert;L. O. Chua

  • Shock wave emission and cavitation bubble generation by picosecond and nanosecond optical breakdown in water

    A. Vogel;S. Busch;U. Parlitz

  • TRANSMISSION OF DIGITAL SIGNALS BY CHAOTIC SYNCHRONIZATION

    U. Parlitz;L.O. Chua;Lj. Kocarev;K.S. Halle

  • Energy balance of optical breakdown in water at nanosecond to femtosecond time scales

    A. Vogel;J. Noack;K. Nahen;D. Theisen

  • Bjerknes forces between small cavitation bubbles in a strong acoustic field

    R. Mettin;I. Akhatov;U. Parlitz;C. D. Ohl

  • Comparison of Different Methods for Computing Lyapunov Exponents

    Karlheinz Geist;Ulrich Parlitz;Werner Lauterborn

  • Estimating model parameters from time series by autosynchronization.

    U. Parlitz

  • Bifurcation structure of bubble oscillators

    U. Parlitz;V. Englisch;C. Scheffczyk;W. Lauterborn

  • Period-doubling cascades and devil's staircases of the driven van der Pol oscillator.

    Ulrich Parlitz;Werner Lauterborn

  • Encoding messages using chaotic synchronization.

    U. Parlitz;L. Kocarev;T. Stojanovski;H. Preckel

  • Experimental observation of phase synchronization.

    U. Parlitz;L. Junge;W. Lauterborn;L. Kocarev

  • Superstructure in the bifurcation set of the Duffing equation ẍ + dẋ + x + x3 = f cos(ωt)

    Ulrich Parlitz;Werner Lauterborn

  • Hyperchaotic dynamics and synchronization of external-cavity semiconductor lasers

    Volker Ahlers;Ulrich Parlitz;Werner Lauterborn

  • Methods of chaos physics and their application to acoustics

    W. Lauterborn;U. Parlitz

  • Classifying cardiac biosignals using ordinal pattern statistics and symbolic dynamics

    U. Parlitz;S. Berg;S. Luther;A. Schirdewan

  • Synchronization-based parameter estimation from time series.

    U. Parlitz;L. Junge;L. Kocarev

  • BJERKNES FORCE THRESHOLD FOR STABLE SINGLE BUBBLE SONOLUMINESCENCE

    I. Akhatov;R. Mettin;C. D. Ohl;U. Parlitz

  • Nonlinear Time-Series Analysis

    Ulrich Parlitz

Frequent Co-Authors

Werner Lauterborn
Werner Lauterborn University of Göttingen
Ljupco Kocarev
Ljupco Kocarev Macedonian Academy of Sciences and Arts
Iskander Akhatov
Iskander Akhatov Skolkovo Institute of Science and Technology
Claus-Dieter Ohl
Claus-Dieter Ohl Otto-von-Guericke University Magdeburg
Keith Worden
Keith Worden University of Sheffield
Spilios D. Fassois
Spilios D. Fassois University of Patras
Leon O. Chua
Leon O. Chua University of California, Berkeley
Wenwu Yu
Wenwu Yu Southeast University

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