World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
52
Citations
11308
World Ranking
3592
National Ranking
239

David Holder 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 David Holder 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: 244 publications — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

David Holder 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 David Holder 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: 52 D-Index — 64th percentile

64% of scientists in this discipline score the same or lower.

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

Overview

David Holder is affiliated with University College London in the United Kingdom and has contributed extensively to research at the intersection of neuroscience, engineering, and medicine. Their work is primarily focused on areas such as electrical and bioimpedance tomography, vagus nerve stimulation, and neural engineering.

The main fields of study covered in David Holder's research include:

  • Neuroscience
  • Engineering
  • Medicine

Within these fields, their subfields of study incorporate:

  • Neurology
  • Electrical and Electronic Engineering
  • Cardiology and Cardiovascular Medicine
  • Cellular and Molecular Neuroscience
  • Biomedical Engineering

Their research spans several interconnected topics, including:

  • Electrical and Bioimpedance Tomography
  • Vagus Nerve Stimulation Research
  • Neuroscience and Neural Engineering
  • Muscle activation and electromyography studies
  • Cardiac Arrhythmias and Treatments
  • EEG and Brain-Computer Interfaces
  • Hemodynamic Monitoring and Therapy

David Holder has published in various academic venues with multiple contributions to:

  • Journal of Neuroscience Methods
  • Physiological Measurement
  • bioRxiv (Cold Spring Harbor Laboratory)
  • The FASEB Journal
  • Frontiers in Neuroscience

Notable recent papers include:

  • Model-based geometrical optimisation and in vivo validation of a spatially selective multielectrode cuff array for vagus nerve neuromodulation (2021, Journal of Neuroscience Methods)
  • MicroCT optimisation for imaging fascicular anatomy in peripheral nerves (2020, Journal of Neuroscience Methods)
  • Imaging fascicular organization of rat sciatic nerves with fast neural electrical impedance tomography (2020, Nature Communications)
  • Selective Vagus Nerve Stimulation as a Therapeutic Approach for the Treatment of ARDS: A Rationale for Neuro-Immunomodulation in COVID-19 Disease (2021, Frontiers in Neuroscience)
  • In vivo imaging of deep neural activity from the cortical surface during hippocampal epileptiform events in the rat brain using electrical impedance tomography (2020, NeuroImage)

Throughout their career, David Holder has frequently collaborated with other researchers, including:

  • Kirill Aristovich
  • Svetlana Mastitskaya
  • Enrico Ravagli
  • Nicole Thompson
  • Francesco Iacoviello

Best Publications

  • Effect of skin impedance on image quality and variability in electrical impedance tomography: a model study

    K. G. Boone;D. S. Holder

  • Electrical Impedance Tomography : Methods, History and Applications

    David S. Holder.

  • Three-dimensional electrical impedance tomography of human brain activity.

    Tom Tidswell;Adam Gibson;Richard H. Bayford;David S. Holder

  • Electrical impedance tomography of human brain function using reconstruction algorithms based on the finite element method.

    Andrew P Bagshaw;Adam D Liston;Richard H Bayford;Andrew Tizzard

  • A review of errors in multi-frequency EIT instrumentation

    A McEwan;G Cusick;D S Holder

  • Imaging fast electrical activity in the brain with electrical impedance tomography

    Kirill Y. Aristovich;Brett C. Packham;Hwan Koo;Gustavo Sato dos Santos

  • Clinical and physiological applications of electrical impedance tomography

    D Holder

  • Multi-frequency electrical impedance tomography (EIT) of the adult human head: initial findings in brain tumours, arteriovenous malformations and chronic stroke, development of an analysis method and calibration

    A. Romsauerova;A. McEwan;Lior Horesh;Rebecca J. Yerworth

  • Use of anisotropic modelling in electrical impedance tomography: description of method and preliminary assessment of utility in imaging brain function in the adult human head.

    Juan-Felipe P.J. Abascal;Simon R. Arridge;David Atkinson;Raya Horesh

  • Design and calibration of a compact multi-frequency EIT system for acute stroke imaging

    A. McEwan;A. Romsauerova;Rebecca J. Yerworth;Lior Horesh

  • Electrical impedance tomography method and apparatus

    Kevin Graham Boone;David Simon Holder

  • Current approaches to analogue instrumentation design in electrical impedance tomography

    K G Boone;D S Holder

  • Multi-frequency EIT system with radially symmetric architecture: KHU Mark1.

    Tong In Oh;Eung Je Woo;David Holder

  • Multifrequency Electrical Impedance Tomography Using Spectral Constraints

    Emma Malone;Gustavo Sato dos Santos;David Holder;Simon Arridge

  • Electrical impedance tomography spectroscopy (EITS) for human head imaging

    Rebecca J. Yerworth;Richard Bayford;Richard Bayford;B. Brown;P. Milnes

  • Generating accurate finite element meshes for the forward model of the human head in EIT.

    Andrew Tizzard;Lior Horesh;Rebecca J. Yerworth;David S. Holder

  • Electrical impedance tomography

    D Holder

  • A Versatile and Reproducible Multi-Frequency Electrical Impedance Tomography System.

    James Avery;Thomas Dowrick;Mayo Faulkner;Nir Goren

  • Electrical impedance tomography (EIT) of brain function.

    D. S. Holder

  • Imaging cerebral haemorrhage with magnetic induction tomography: numerical modelling

    M Zolgharni;P D Ledger;D W Armitage;D S Holder

  • Electrical Impedance Tomography of brain function

    D.S. Holder

Frequent Co-Authors

Richard Bayford
Richard Bayford Middlesex University
Simon R. Arridge
Simon R. Arridge University College London
Andrew P. Bagshaw
Andrew P. Bagshaw University of Birmingham
Colin D. Binnie
Colin D. Binnie University of Cambridge
Matthew C. Walker
Matthew C. Walker University College London
Eung Je Woo
Eung Je Woo Kyung Hee University
Paul R. Shearing
Paul R. Shearing University College London
Peter Dayan
Peter Dayan Max Planck Institute for Biological Cybernetics
Andrew W. McEvoy
Andrew W. McEvoy University College London
Jean-Marc Fritschy
Jean-Marc Fritschy University of Zurich

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