World's Best Scientists 2026 revealed!
Anthony N. Burkitt

Anthony N. Burkitt

D-Index & Metrics

Engineering and Technology

D-Index
33
Citations
4261
World Ranking
9432
National Ranking
462

Anthony N. Burkitt 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 Anthony N. Burkitt 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: 226 publications — 57th percentile

57% of scientists in this discipline score the same or lower.

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

Anthony N. Burkitt 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 Anthony N. Burkitt 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: 33 D-Index — 5th percentile

5% of scientists in this discipline score the same or lower.

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

Overview

Anthony N. Burkitt is affiliated with the University of Melbourne in Australia, with a primary research focus in Neuroscience. Their work encompasses a range of subfields including Cognitive Neuroscience, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Statistical and Nonlinear Physics, and Molecular Biology.

The scientist's publications often explore topics related to Neural dynamics and brain function, EEG and Brain-Computer Interfaces, Neuroscience and Neural Engineering, Neuroscience and Neuropharmacology Research, Advanced Memory and Neural Computing, Visual perception and processing mechanisms, and Functional Brain Connectivity Studies.

Frequent coauthors of Anthony N. Burkitt include David B. Grayden, Mark Cook, Parvin Zarei Eskikand, Yanbo Lian, and Hamish Meffin. Collaboration with these researchers is reflected in multiple publications.

Burkitt has contributed extensively to several publication venues. These include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Neural Engineering
  • PLoS Computational Biology
  • arXiv (Cornell University)
  • Neural Networks

Among recent papers authored or coauthored by Burkitt are:

  • Critical slowing down as a biomarker for seizure susceptibility (2020), published in Nature Communications
  • Motor neuroprosthesis implanted with neurointerventional surgery improves capacity for activities of daily living tasks in severe paralysis: first in-human experience (2020), published in Journal of NeuroInterventional Surgery
  • High-Frequency Oscillations in Epilepsy (2021), published in Neurology
  • Seizure likelihood varies with day-to-day variations in sleep duration in patients with refractory focal epilepsy: A longitudinal electroencephalography investigation (2021), published in EClinicalMedicine
  • Critical dynamics arise during structured information presentation within embodied in vitro neuronal networks (2023), published in Nature Communications

Best Publications

  • Computer-Simulation Methods

    Dieter W. Heermann;Anthony N. Burkitt

  • A review of the integrate-and-fire neuron model: II. Inhomogeneous synaptic input and network properties.

    Anthony N. Burkitt

  • First-in-Human Trial of a Novel Suprachoroidal Retinal Prosthesis

    Lauren N Ayton;Peter J. Blamey;Robyn H. Guymer;Chi D Luu

  • Minimally invasive endovascular stent-electrode array for high-fidelity, chronic recordings of cortical neural activity

    Thomas J Oxley;Nicholas L Opie;Sam E John;Gil S Rind;Gil S Rind

  • Critical slowing down as a biomarker for seizure susceptibility.

    Matias I Maturana;Christian Meisel;Katrina Dell;Philippa J Karoly

  • Motor neuroprosthesis implanted with neurointerventional surgery improves capacity for activities of daily living tasks in severe paralysis: first in-human experience

    Thomas J Oxley;Thomas J Oxley;Peter E Yoo;Peter E Yoo;Gil S Rind;Gil S Rind;Stephen M Ronayne;Stephen M Ronayne

  • 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

  • Lattice Fermions in Odd Dimensions

    C J Burden;A N Burkitt

  • Analysis of integrate-and-fire neurons: synchronization of synaptic input and spike output

    A. N. Burkitt;G. M. Clark

  • Temporal processing from the auditory nerve to the medial nucleus of the trapezoid body in the rat.

    Antonio G. Paolini;John V. FitzGerald;Anthony N. Burkitt;Graeme M. Clark

  • Spike-timing-dependent plasticity: the relationship to rate-based learning for models with weight dynamics determined by a stable fixed point

    Anthony N. Burkitt;Hamish Meffin;David B. Grayden

  • 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

  • Parallel algorithms in computational science

    Dieter W. Heermann;Anthony N. Burkitt

  • An Analytical Model for the ‘Large, Fluctuating Synaptic Conductance State’ Typical of Neocortical Neurons In Vivo

    Hamish Meffin;Anthony N. Burkitt;David B. Grayden

  • Shot noise in the leaky integrate-and-fire neuron.

    Nicolas Hohn;Anthony N. Burkitt

  • System size dependence of the autocorrelation time for the Swendsen-Wang Ising model

    Dieter W. Heermann;Anthony N. Burkitt

  • STDP in Recurrent Neuronal Networks.

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

  • Patient-specific bivariate-synchrony-based seizure prediction for short prediction horizons

    Levin Kuhlmann;Dean Freestone;Alan Lai;Anthony N. Burkitt

  • Study of neuronal gain in a conductance-based leaky integrate-and-fire neuron model with balanced excitatory and inhibitory synaptic input

    A. N. Burkitt;H. Meffin;D. B. Grayden

  • Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks III: Partially connected neurons driven by spontaneous activity

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

  • Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. II. Input selectivity—symmetry breaking

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

  • Synchronization of the neural response to noisy periodic synaptic input

    A.N. Burkitt;G.M. Clark

  • Spike-timing-dependent plasticity for neurons with recurrent connections

    A. N. Burkitt;M. Gilson;J. L. van Hemmen

  • Closed-loop seizure control with very high frequency electrical stimulation at seizure onset in the GAERS model of absence epilepsy.

    Timothy S Nelson;Courtney L Suhr;Dean R Freestone;Alan Lai

  • Modeling extracellular electrical stimulation: I. Derivation and interpretation of neurite equations

    Hamish Meffin;Hamish Meffin;Bahman Tahayori;David B Grayden;Anthony N Burkitt

  • Balanced neurons: analysis of leaky integrate-and-fire neurons with reversal potentials.

    Anthony N. Burkitt

  • Predictive coding of visual object position ahead of moving objects revealed by time-resolved EEG decoding.

    Hinze Hogendoorn;Hinze Hogendoorn;Anthony N. Burkitt

  • High-Frequency Oscillations in Epilepsy: What Have We Learned and What Needs to be Addressed.

    Zhuying Chen;Matias I Maturana;Anthony N Burkitt;Mark J Cook

  • 25th Annual Computational Neuroscience Meeting: CNS-2016

    Tatyana O. Sharpee;Alain Destexhe;Mitsuo Kawato;Vladisla Sekulić

Frequent Co-Authors

David B. Grayden
David B. Grayden University of Melbourne
Mark J. Cook
Mark J. Cook University of Melbourne
Graeme M. Clark
Graeme M. Clark University of Melbourne
J. Leo van Hemmen
J. Leo van Hemmen Technical University of Munich
Iven Mareels
Iven Mareels IBM (United States)
Gaute T. Einevoll
Gaute T. Einevoll Norwegian University of Life Sciences
Terence J. O'Brien
Terence J. O'Brien Monash University
Alain Destexhe
Alain Destexhe Centre national de la recherche scientifique, CNRS
Erica L. Fletcher
Erica L. Fletcher University of Melbourne
Steven Prawer
Steven Prawer University of Melbourne

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