World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
37
Citations
7549
World Ranking
8280
National Ranking
277

J. Leo van Hemmen 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 J. Leo van Hemmen 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: 132 publications — 20th percentile

20% of scientists in this discipline score the same or lower.

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

J. Leo van Hemmen 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 J. Leo van Hemmen 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: 37 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Overview

J. Leo van Hemmen is affiliated with the Technical University of Munich in Germany. Their research spans multiple disciplines including Engineering, Computer Science, and Physics and Astronomy. The scientist's work also touches on specialized subfields such as Otorhinolaryngology, Biomaterials, Biomedical Engineering, Global and Planetary Change, and Computer Networks and Communications.

The primary research topics covered by J. Leo van Hemmen include:

  • Ear Surgery and Otitis Media
  • Silk-based biomaterials and applications
  • Ecosystem dynamics and resilience
  • Nonlinear Dynamics and Pattern Formation
  • Mechanical and Optical Resonators
  • Neural dynamics and brain function
  • Advanced Sensor and Energy Harvesting Materials

The scientist's recent publications reflect their interdisciplinary approach. Notable papers include:

  • "Mathematization of nature: how it is done" (2021) published in Biological Cybernetics
  • "Geometric perturbation theory and Acoustic Boundary Condition Dynamics" (2020) published in Physica D Nonlinear Phenomena
  • "Tone generation in an open-end organ pipe: How a resonating sphere of air stops the pipe" (2022) published on arXiv (Cornell University)

Frequent collaborators in their research endeavors are:

  • David T. Heider
  • Bernhardt H. Edskes
  • J.L. van Leeuwen
  • Bernhard U. Seeber
  • Nicolas Brunel

Common venues where J. Leo van Hemmen publishes include:

  • Biological Cybernetics
  • Physica D Nonlinear Phenomena
  • arXiv (Cornell University)

Best Publications

  • A neuronal learning rule for sub-millisecond temporal coding

    Wulfram Gerstner;Wulfram Gerstner;Richard Kempter;J. Leo van Hemmen;Hermann Wagner;Hermann Wagner

  • Hebbian learning and spiking neurons

    Richard Kempter;Wulfram Gerstner;J. Leo van Hemmen

  • Reduction of the hodgkin-huxley equations to a single-variable threshold model

    Werner M. Kistler;Wulfram Gerstner;J. Leo van Hemmen

  • Why spikes? Hebbian learning and retrieval of time-resolved excitation patterns

    Wulfram Gerstner;Raphael Ritz;J. Leo Hemmen

  • What matters in neuronal locking

    Wulfram Gerstner;J. Leo van Hemmen;Jack D. Cowan

  • Intrinsic Stabilization of Output Rates by Spike-Based Hebbian Learning

    Richard Kempter;Wulfram Gerstner;J. Leo Van Hemmen

  • Modeling Synaptic Plasticity in Conjunction with the Timing of Pre- and Postsynaptic Action Potentials

    Werner M. Kistler;J. Leo Van Hemmen

  • Coherence and incoherence in a globally coupled ensemble of pulse-emitting units

    W. Gerstner;J. L. van Hemmen

  • A biologically motivated and analytically soluble model of collective oscillations in the cortex

    Wulfram Gerstner;Raphael Ritz;J. Leo Hemmen

  • Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks IV: Structuring synaptic pathways among recurrent connections

    Matthieu Gilson;Anthony N. Burkitt;David B. Grayden;Doreen A. Thomas

  • Cytokine-modulated regulation of helper T cell populations.

    Andrew Yates;Claudia Bergmann;J Leo Van Hemmen;Jaroslav Stark

  • Object localization through the lateral line system of fish: theory and experiment

    Julie Goulet;Jacob Engelmann;Boris P. Chagnaud;Jan-Moritz P. Franosch

  • Accelerating backpropagation through dynamic self-adaptation

    Ralf Salomon;J. Leo van Hemmen

  • Extracting Oscillations: Neuronal Coincidence Detection with Noisy Periodic Spike Input

    Richard Kempter;Wulfram Gerstner;J. Leo Van Hemmen;Hermann Wagner

  • Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. I. Input selectivity–strengthening correlated input pathways

    Matthieu Gilson;Anthony N. Burkitt;David B. Grayden;Doreen A. Thomas

  • Temporal association

    Reimer Kühn;J. Leo van Hemmen

  • STDP in Recurrent Neuronal Networks.

    Matthieu Gilson;Matthieu Gilson;Anthony N. Burkitt;J. Leo van Hemmen

  • Vibration Sensitivity and a Computational Theory for Prey-Localizing Behavior in Sand Scorpions

    Philip H. Brownell;J. Leo van Hemmen

  • Formation of temporal-feature maps by axonal propagation of synaptic learning.

    Richard Kempter;Christian Leibold;Hermann Wagner;J. Leo van Hemmen

  • A biologically motivated and analytically soluble model of collective oscillations in the cortex: II.~Application to binding and pattern segmentation

    R. Ritz;W. Gerstner;U. Fuentes;J. L. Van Hemmen

  • Models of Neural Networks I

    Eytan Domany;J. Leo Hemmen;Klaus Schulten

  • Models of Neural Networks III

    Eytan Domany;J. Leo Hemmen;Klaus Schulten

Frequent Co-Authors

Wulfram Gerstner
Wulfram Gerstner École Polytechnique Fédérale de Lausanne
Anthony N. Burkitt
Anthony N. Burkitt University of Melbourne
Richard Kempter
Richard Kempter Humboldt-Universität zu Berlin
David B. Grayden
David B. Grayden University of Melbourne
Sandra Hirche
Sandra Hirche Technical University of Munich
Klaus Schulten
Klaus Schulten University of Illinois at Urbana-Champaign
Avidan U. Neumann
Avidan U. Neumann Bar-Ilan University
Andrew B. Schwartz
Andrew B. Schwartz University of Pittsburgh
Barry E. Stein
Barry E. Stein Wake Forest University
Andreas R. Bausch
Andreas R. Bausch Technical University of Munich

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