World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
69
Citations
24847
World Ranking
1104
National Ranking
371

G. Bard Ermentrout 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 G. Bard Ermentrout 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: 252 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

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

G. Bard Ermentrout 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 G. Bard Ermentrout 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: 69 D-Index — 89th percentile

89% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2012 - SIAM Fellow For contributions to applied dynamical systems and mathematical biology, in particular the theory of coupled oscillators and neural pattern formation.
  • 1984 - Fellow of Alfred P. Sloan Foundation

Overview

G. Bard Ermentrout is affiliated with the University of Pittsburgh in the United States and has contributed to various fields within neuroscience and biology. Their research spans multiple areas with a focus on mathematical biology and neural dynamics.

The scientist's main fields of study include:

  • Neuroscience
  • Biochemistry, Genetics and Molecular Biology

They have worked extensively across several subfields:

  • Cognitive Neuroscience
  • Cellular and Molecular Neuroscience
  • Molecular Biology
  • Infectious Diseases
  • Ecology, Evolution, Behavior and Systematics

Their research topics cover:

  • Neural dynamics and brain function
  • Neuroscience and Neuropharmacology Research
  • Ion channel regulation and function
  • COVID-19 epidemiological studies
  • Neurobiology and Insect Physiology Research
  • Animal Behavior and Reproduction
  • Zebrafish Biomedical Research Applications

Recent published papers include:

  • "Kcns3 deficiency disrupts Parvalbumin neuron physiology in mouse prefrontal cortex: Implications for the pathophysiology of schizophrenia" (2021), Neurobiology of Disease
  • "Compartmental Model Suggests Importance of Innate Immune Response to COVID-19 Infection in Rhesus Macaques" (2021), Bulletin of Mathematical Biology
  • "A multiscale multicellular spatiotemporal model of local influenza infection and immune response" (2021), Journal of Theoretical Biology
  • "Olfactory navigation in the real world: Simple local search strategies for turbulent environments" (2021), Journal of Theoretical Biology
  • "Altered Rbfox1-Vamp1 pathway and prefrontal cortical dysfunction in schizophrenia" (2024), Molecular Psychiatry

Frequent co-authors collaborating with Ermentrout comprise:

  • David A. Lewis
  • Takeaki Miyamae
  • Takanori Hashimoto
  • Monica Abraham
  • Rika Kawabata

The primary venues where the scientist has published include:

  • Bulletin of Mathematical Biology
  • Journal of Theoretical Biology
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Computational Neuroscience
  • Neurobiology of Disease

Recognition has come in the form of awards such as:

  • SIAM Fellow (2012) for contributions to applied dynamical systems and mathematical biology, particularly in theory of coupled oscillators and neural pattern formation
  • Fellow of Alfred P. Sloan Foundation (1984)

Best Publications

  • Simulating, analyzing, and animating dynamical systems : a guide to XPPAUT for researchers and students

    Bard Ermentrout

  • Analysis of neural excitability and oscillations

    John Rinzel;G. Bard Ermentrout

  • Type i membranes, phase resetting curves, and synchrony

    Bard Ermentrout

  • Simulation of networks of spiking neurons: A review of tools and strategies

    Romain Brette;Michelle Rudolph;Ted Carnevale;Michael L. Hines

  • When inhibition not excitation synchronizes neural firing.

    Carl Van Vreeswijk;L. F. Abbott;G. Bard Ermentrout

  • Amplitude response of coupled oscillators

    D. G. Aronson;G. B. Ermentrout;N. Kopell

  • Frequency Plateaus in a Chain of Weakly Coupled Oscillators, I.

    George Bard Ermentrout;Nancy Kopell

  • Traveling Electrical Waves in Cortex: Insights from Phase Dynamics and Speculation on a Computational Role

    G.Bard Ermentrout;David Kleinfeld

  • On the human sensorimotor-cortex beta rhythm: sources and modeling

    Ole Jensen;P. Goel;Nancy Kopell;Mikko Pohja

  • Spatially Structured Activity in Synaptically Coupled Neuronal Networks: I. Traveling Fronts and Pulses

    David J. Pinto;G. Bard Ermentrout

  • Chemical and electrical synapses perform complementary roles in the synchronization of interneuronal networks

    Nancy Kopell;Bard Ermentrout

  • Existence and uniqueness of travelling waves for a neural network

    G. Bard Ermentrout;J. Bryce McLeod

  • Linearization of F-1 curves by adaptation

    Bard Ermentrout

  • MULTIPLE BUMPS IN A NEURONAL MODEL OF WORKING MEMORY

    Carlo R. Laing;William C. Troy;Boris Gutkin;G. Bard Ermentrout

  • The Effects of Spike Frequency Adaptation and Negative Feedback on the Synchronization of Neural Oscillators

    Bard Ermentrout;Matthew Pascal;Boris Gutkin

  • Efficient estimation of phase-resetting curves in real neurons and its significance for neural-network modeling.

    Roberto Fernandez Galan;Roberto Fernandez Galan;G. Bard Ermentrout;G. Bard Ermentrout;Nathaniel N. Urban;Nathaniel N. Urban

  • Dynamics of membrane excitability determine interspike interval variability: a link between spike generation mechanisms and cortical spike train statistics

    Boris S. Gutkin;G. Bard Ermentrout

  • Synchrony, stability, and firing patterns in pulse-coupled oscillators

    Pranay Goel;Bard Ermentrout

  • Reduction of conductance-based models with slow synapses to neural nets

    Bard Ermentrout

  • Synchronization in a pool of mutually coupled oscillators with random frequencies

    G. Bard Ermentrout

  • Phase-response curves and synchronized neural networks

    Roy M. Smeal;G. Bard Ermentrout;John A. White

  • SPATIALLY STRUCTURED ACTIVITY IN SYNAPTICALLY COUPLED NEURONAL NETWORKS: II. LATERAL INHIBITION AND STANDING PULSES ∗

    David J. Pinto;G. Bard Ermentrout

Frequent Co-Authors

Jonathan E. Rubin
Jonathan E. Rubin University of Pittsburgh
Nathaniel N. Urban
Nathaniel N. Urban University of Pittsburgh
Yoram Vodovotz
Yoram Vodovotz University of Pittsburgh
Boris Gutkin
Boris Gutkin École Normale Supérieure
David Golomb
David Golomb Ben-Gurion University of the Negev
Nancy Kopell
Nancy Kopell Boston University
Anthony N. Burkitt
Anthony N. Burkitt University of Melbourne
Guillermo Gonzalez-Burgos
Guillermo Gonzalez-Burgos University of Pittsburgh
Gaute T. Einevoll
Gaute T. Einevoll Norwegian University of Life Sciences
Theoden I. Netoff
Theoden I. Netoff University of Minnesota

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