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David T. J. Liley

D-Index & Metrics

Neuroscience

D-Index
33
Citations
4314
World Ranking
9460
National Ranking
281

David T. J. Liley publication distribution in Neuroscience in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Neuroscience in 2026. The highlighted bar marks where David T. J. Liley sits on this spectrum.

38–47 publications: 18 scientists 48–57 publications: 79 scientists 58–67 publications: 193 scientists 68–77 publications: 323 scientists 78–87 publications: 406 scientists 88–97 publications: 452 scientists 98–107 publications: 539 scientists 108–117 publications: 505 scientists 118–127 publications: 522 scientists 128–137 publications: 469 scientists 138–147 publications: 456 scientists 148–157 publications: 459 scientists 158–167 publications: 397 scientists 168–177 publications: 383 scientists 178–187 publications: 350 scientists 188–197 publications: 302 scientists 198–207 publications: 306 scientists 208–217 publications: 262 scientists 218–227 publications: 242 scientists 228–237 publications: 220 scientists 238–247 publications: 203 scientists 248–257 publications: 174 scientists 258–267 publications: 176 scientists 268–277 publications: 175 scientists 278–287 publications: 125 scientists 288–297 publications: 116 scientists 298–307 publications: 127 scientists 308–317 publications: 128 scientists 318–327 publications: 99 scientists 328–337 publications: 89 scientists 338–347 publications: 78 scientists 348–357 publications: 96 scientists 358–367 publications: 66 scientists 368–377 publications: 59 scientists 378–387 publications: 65 scientists 388–397 publications: 54 scientists 398–407 publications: 48 scientists 408–417 publications: 49 scientists 418–427 publications: 34 scientists 428–437 publications: 31 scientists 438–447 publications: 30 scientists 448–457 publications: 31 scientists 458–467 publications: 36 scientists 468–477 publications: 40 scientists 478–487 publications: 35 scientists 488–497 publications: 30 scientists 498–507 publications: 23 scientists 508–517 publications: 26 scientists 518–527 publications: 20 scientists 528–537 publications: 23 scientists 538–547 publications: 20 scientists 548–557 publications: 20 scientists 558–567 publications: 17 scientists 568–577 publications: 14 scientists 578–587 publications: 20 scientists 588–597 publications: 20 scientists 598–607 publications: 19 scientists 608–617 publications: 18 scientists 618–627 publications: 17 scientists 628–637 publications: 11 scientists 638–647 publications: 11 scientists 648–657 publications: 11 scientists 658–667 publications: 8 scientists 668–677 publications: 7 scientists 678–687 publications: 11 scientists 688–697 publications: 10 scientists 698–707 publications: 4 scientists 708–717 publications: 6 scientists 718–727 publications: 5 scientists 728–737 publications: 5 scientists 738–747 publications: 9 scientists 748–757 publications: 9 scientists 758–767 publications: 3 scientists 768–777 publications: 7 scientists 778–787 publications: 7 scientists 788–797 publications: 6 scientists 798–807 publications: 2 scientists 808–817 publications: 2 scientists 818–827 publications: 7 scientists 828–837 publications: 0 scientists 838–847 publications: 9 scientists 848–857 publications: 3 scientists 858–867 publications: 1 scientists 868–877 publications: 3 scientists 878–886 publications: 6 scientists 887+ publications: 100 scientists
38 publications 887+

This scientist: 102 publications — 18th percentile

18% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 887 publications or more.

David T. J. Liley D-index placement in Neuroscience in 2026

The chart shows the D-index (discipline H-index) distribution of Neuroscience scientists ranked by Research.com in 2026. The highlighted bar marks where David T. J. Liley sits on this spectrum.

30–31 D-Index: 42 scientists 32–33 D-Index: 172 scientists 34–35 D-Index: 296 scientists 36–37 D-Index: 435 scientists 38–39 D-Index: 459 scientists 40–41 D-Index: 456 scientists 42–43 D-Index: 467 scientists 44–45 D-Index: 478 scientists 46–47 D-Index: 512 scientists 48–49 D-Index: 435 scientists 50–51 D-Index: 425 scientists 52–53 D-Index: 418 scientists 54–55 D-Index: 392 scientists 56–57 D-Index: 357 scientists 58–59 D-Index: 334 scientists 60–61 D-Index: 328 scientists 62–63 D-Index: 260 scientists 64–65 D-Index: 278 scientists 66–67 D-Index: 239 scientists 68–69 D-Index: 250 scientists 70–71 D-Index: 210 scientists 72–73 D-Index: 200 scientists 74–75 D-Index: 189 scientists 76–77 D-Index: 170 scientists 78–79 D-Index: 146 scientists 80–81 D-Index: 113 scientists 82–83 D-Index: 126 scientists 84–85 D-Index: 100 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 99 scientists 90–91 D-Index: 84 scientists 92–93 D-Index: 85 scientists 94–95 D-Index: 72 scientists 96–97 D-Index: 76 scientists 98–99 D-Index: 45 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 43 scientists 104–105 D-Index: 32 scientists 106–107 D-Index: 45 scientists 108–109 D-Index: 50 scientists 110–111 D-Index: 32 scientists 112–113 D-Index: 39 scientists 114–115 D-Index: 32 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 27 scientists 120–121 D-Index: 19 scientists 122–123 D-Index: 23 scientists 124–125 D-Index: 27 scientists 126–127 D-Index: 16 scientists 128–129 D-Index: 24 scientists 130–131 D-Index: 13 scientists 132–133 D-Index: 21 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 14 scientists 138–139 D-Index: 15 scientists 140–141 D-Index: 10 scientists 142–143 D-Index: 10 scientists 144–145 D-Index: 13 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 8 scientists 150–151 D-Index: 6 scientists 152–153 D-Index: 6 scientists 154–155 D-Index: 7 scientists 156–157 D-Index: 7 scientists 158–159 D-Index: 10 scientists 160–161 D-Index: 4 scientists 162 D-Index: 8 scientists 163+ D-Index: 100 scientists
30 D-Index 163+

This scientist: 33 D-Index — 2nd percentile

2% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 163 D-Index or more.

Overview

David T. J. Liley is affiliated with Swinburne University of Technology in Australia. Their research primarily falls within the field of Neuroscience, with a focus on Cognitive Neuroscience as a major subfield. Other areas of study include Cellular and Molecular Neuroscience, Anesthesiology and Pain Medicine, Developmental Neuroscience, and Statistical and Nonlinear Physics.

Their work addresses several key topics related to brain function and neural mechanisms. These main topics include:

  • Neural dynamics and brain function
  • EEG and Brain-Computer Interfaces
  • Functional Brain Connectivity Studies
  • Anesthesia and Sedative Agents
  • Anesthesia and Neurotoxicity Research
  • Stochastic dynamics and bifurcation
  • Neuroscience and Neural Engineering

David T. J. Liley has contributed to various scientific publications, with multiple papers appearing in leading journals. Frequent publication venues include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • PLoS Computational Biology
  • Anesthesiology
  • Sensors
  • NeuroImage

Some recent papers authored or co-authored by David T. J. Liley are:

  • "Alpha blocking and 1/fβ spectral scaling in resting EEG can be accounted for by a sum of damped alpha band oscillatory processes," 2022, PLoS Computational Biology
  • "Inferring a simple mechanism for alpha-blocking by fitting a neural population model to EEG spectra," 2020, PLoS Computational Biology
  • "Multi-Center Evaluation of Gel-Based and Dry Multipin EEG Caps," 2022, Sensors
  • "Space-time resolved inference-based neurophysiological process imaging: Application to resting-state alpha rhythm," 2022, NeuroImage
  • "Source-level Cortical Power Changes for Xenon and Nitrous Oxide-induced Reductions in Consciousness in Healthy Male Volunteers," 2020, Anesthesiology

David T. J. Liley collaborates frequently with a range of co-authors. Regular collaborators include:

  • Levin Kuhlmann
  • Andria Pelentritou
  • D. G. Hicks
  • Mario Boley
  • Rick Evertz

Best Publications

  • Dynamics of the brain at global and microscopic scales: neural networks and the EEG

    James J. Wright;David T. J. Liley

  • A spatially continuous mean field theory of electrocortical activity

    David T J Liley;Peter J Cadusch;Mathew P Dafilis

  • The Acute Effects of L-theanine in Comparison With Alprazolam on Anticipatory Anxiety in Humans

    Kristy Lu;Marcus A. Gray;Chris Oliver;David T. Liley

  • Modeling the effects of anesthesia on the electroencephalogram.

    Ingo Bojak;David T. J. Liley

  • Theoretical electroencephalogram stationary spectrum for a white-noise-driven cortex: evidence for a general anesthetic-induced phase transition.

    Moira L. Steyn-Ross;D. A. Steyn-Ross;J. W. Sleigh;D. T. J. Liley

  • Epilepsyecosystem.org: crowd-sourcing reproducible seizure prediction with long-term human intracranial EEG

    Levin Kuhlmann;Levin Kuhlmann;Philippa Karoly;Dean R. Freestone;Benjamin H. Brinkmann

  • Simulation of electrocortical waves

    J. J. Wright;D. T. Liley

  • Intracortical connectivity of pyramidal and stellate cells: estimates of synaptic densities and coupling symmetry

    David T. J. Liley;David T. J. Liley;David T. J. Liley;James J. Wright;James J. Wright;James J. Wright

  • 1/f electrophysiological spectra in resting and drug-induced states can be explained by the dynamics of multiple oscillatory relaxation processes.

    Suresh D. Muthukumaraswamy;David T. J. Liley

  • A Continuum Theory of Electro-Cortical Activity

    David T.J. Liley;David T.J. Liley;Peter J. Cadusch;James J. Wright;James J. Wright

  • Modeling electrocortical activity through improved local approximations of integral neural field equations.

    Stephen Coombes;Nikola A. Venkov;Lie June Shiau;Ingo Bojak

  • Interictal and ictal source localization for epilepsy surgery using high-density EEG with MEG: a prospective long-term study.

    Chris Plummer;Chris Plummer;Chris Plummer;Simon J Vogrin;Simon J Vogrin;Simon J Vogrin;William P Woods;Michael A Murphy;Michael A Murphy

  • Understanding the transition to seizure by modeling the epileptiform activity of general anesthetic agents.

    David T. J. Liley;Ingo Bojak

  • Robust chaos in a model of the electroencephalogram: Implications for brain dynamics.

    Mathew P. Dafilis;David T. J. Liley;Peter J. Cadusch

  • A millimetric-scale simulation of electrocortical wave dynamics based on anatomical estimates of cortical synaptic density

    J J Wright;J J Wright;J J Wright;D T J Liley;D T J Liley;D T J Liley

  • Axonal velocity distributions in neural field equations.

    Ingo Bojak;David T. J. Liley

  • Population based models of cortical drug response: insights from anaesthesia

    Brett L. Foster;Ingo Bojak;David T. J. Liley

  • The Mesoscopic Modeling of Burst Suppression during Anesthesia

    David T. J. Liley;Matthew Walsh

  • Nitrous oxide paradoxically modulates slow electroencephalogram oscillations: implications for anesthesia monitoring.

    Brett L. Foster;David T. J. Liley

  • Propofol and remifentanil differentially modulate frontal electroencephalographic activity.

    David T. J. Liley;Nicholas C. Sinclair;Tarmo Lipping;Bjorn Heyse

  • Drug-induced modification of the system properties associated with spontaneous human electroencephalographic activity

    David T J Liley;Peter J Cadusch;Marcus Gray;Pradeep Jonathan Nathan

  • Alpha rhythm emerges from large-scale networks of realistically coupled multicompartmental model cortical neurons

    David T J Liley;David M Alexander;James J Wright;Mathew D Aldous

Frequent Co-Authors

Michel Struys
Michel Struys University Medical Center Groningen
Pradeep J. Nathan
Pradeep J. Nathan University of Cambridge
Suresh D. Muthukumaraswamy
Suresh D. Muthukumaraswamy University of Auckland
Mark J. Cook
Mark J. Cook University of Melbourne
Ben J. Harrison
Ben J. Harrison University of Melbourne
Kathryn A. Ellis
Kathryn A. Ellis University of Melbourne
David B. Grayden
David B. Grayden University of Melbourne
Marcus A. Gray
Marcus A. Gray University of Queensland
Raymond C. Boston
Raymond C. Boston St Vincent's Hospital
Jonathan H. Manton
Jonathan H. Manton University of Melbourne

External Links

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Related Online Degrees & Career Pathways

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For those interested in long-term earning potential, it’s helpful to review the best bachelor degrees to get and the highest paying majors. Neuroscience and related STEM fields typically rank high in terms of future job salary and versatile career opportunities.

Financial accessibility can be a concern, but there are many fafsa approved online colleges offering flexible and affordable programs. These institutions allow qualifying students to access federal financial aid, making an online pathway to a neuroscience-related career more achievable.

Best Scientists Citing David T. J. Liley

James W. Sleigh

James W. Sleigh

University of Auckland

Publications: 29

Michael Breakspear

Michael Breakspear

University of Newcastle Australia

Publications: 29

Karl J. Friston

Karl J. Friston

University College London

Publications: 28

Viktor K. Jirsa

Viktor K. Jirsa

Aix-Marseille University

Publications: 25

Mark J. Cook

Mark J. Cook

University of Melbourne

Publications: 23

Chris Rennie

Chris Rennie

University of Sydney

Publications: 23

Stephen Coombes

Stephen Coombes

University of Nottingham

Publications: 21

Emery N. Brown

Emery N. Brown

MIT

Publications: 19

John R. Terry

John R. Terry

University of Exeter

Publications: 18

Paul C. Bressloff

Paul C. Bressloff

University of Utah

Publications: 17

Benjamin H. Brinkmann

Benjamin H. Brinkmann

Mayo Clinic

Publications: 17

Michel J. A. M. van Putten

Michel J. A. M. van Putten

University of Twente

Publications: 16

Walter J. Freeman

Walter J. Freeman

University of California, Berkeley

Publications: 16

Mark P. Richardson

Mark P. Richardson

King's College London

Publications: 15

David B. Grayden

David B. Grayden

University of Melbourne

Publications: 15

Andrew J. Szeri

Andrew J. Szeri

University of California, Berkeley

Publications: 14

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