World's Best Scientists 2026 revealed!
Gordon Lightbody

Gordon Lightbody

D-Index & Metrics

Engineering and Technology

D-Index
43
Citations
7493
World Ranking
6156
National Ranking
27

Gordon Lightbody 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 Gordon Lightbody 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: 191 publications — 44th percentile

44% of scientists in this discipline score the same or lower.

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

Gordon Lightbody 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 Gordon Lightbody 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: 43 D-Index — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Overview

Gordon Lightbody is affiliated with University College Cork in Ireland and has an extensive research portfolio primarily focused on medicine and neuroscience. Their research encompasses pediatric and perinatal health, cognitive neuroscience, pulmonary and respiratory medicine, biomedical engineering, and signal processing.

The scientist's primary topics of study include neonatal and fetal brain pathology, EEG and brain-computer interfaces, neonatal respiratory health research, non-invasive vital sign monitoring, birth, development, and health, infant development and preterm care, and blind source separation techniques.

Lightbody has published research in several notable venues, including arXiv (Cornell University), Zenodo (CERN European Organization for Nuclear Research), Pediatric Research, the 2021 29th European Signal Processing Conference (EUSIPCO), and the International Journal of Neural Systems.

Recent papers authored or co-authored by Lightbody include:

  • Deep Learning for EEG Seizure Detection in Preterm Infants, 2020, International Journal of Neural Systems
  • Grading hypoxic-ischemic encephalopathy in neonatal EEG with convolutional neural networks and quadratic time-frequency distributions, 2021, Journal of Neural Engineering
  • Neonatal EEG graded for severity of background abnormalities in hypoxic-ischaemic encephalopathy, 2023, Scientific Data
  • Prediction of 2-Year Cognitive Outcomes in Very Preterm Infants Using Machine Learning Methods, 2023, JAMA Network Open
  • Temporal evolution of electrographic seizures in newborn infants with hypoxic-ischaemic encephalopathy requiring therapeutic hypothermia: a secondary analysis of the ANSeR studies, 2024, The Lancet Child & Adolescent Health

Frequent co-authors collaborating with Lightbody include:

  • Geraldine B. Boylan
  • William P. Marnane
  • Sean Mathieson
  • John M. O'Toole
  • Sumit A. Raurale

Best Publications

  • Modeling of the wind turbine with a doubly fed induction generator for grid integration studies

    Yazhou Lei;A. Mullane;G. Lightbody;R. Yacamini

  • EEG-based neonatal seizure detection with Support Vector Machines.

    A. Temko;E. Thomas;W. Marnane;G. Lightbody

  • Wind-turbine fault ride-through enhancement

    A. Mullane;G. Lightbody;R. Yacamini

  • A comparison of quantitative EEG features for neonatal seizure detection.

    B.R. Greene;S. Faul;W.P. Marnane;G. Lightbody

  • Maximisation of Energy Capture by a Wave-Energy Point Absorber using Model Predictive Control

    Julien A. M. Cretel;Gordon Lightbody;Gareth P. Thomas;Anthony W. Lewis

  • Smart transactive energy framework in grid-connected multiple home microgrids under independent and coalition operations

    Mousa Marzband;Mousa Marzband;Fatemeh Azarinejadian;Mehdi Savaghebi;Edris Pouresmaeil

  • A hybrid linear/nonlinear training algorithm for feedforward neural networks

    S. McLoone;M.D. Brown;G. Irwin;A. Lightbody

  • Nonlinear control structures based on embedded neural system models

    G. Lightbody;G.W. Irwin

  • Direct neural model reference adaptive control

    G. Lightbody;G.W. Irwin

  • An advanced retail electricity market for active distribution systems and home microgrid interoperability based on game theory

    Mousa Marzband;Masoumeh Javadi;S. Ali Pourmousavi;Gordon Lightbody

  • Neonatal seizure detection from raw multi-channel EEG using a fully convolutional architecture

    Alison O'Shea;Alison O'Shea;Gordon Lightbody;Gordon Lightbody;Geraldine B. Boylan;Geraldine B. Boylan;Andriy Temko;Andriy Temko

  • An evaluation of automated neonatal seizure detection methods

    Stephen Faul;Geraldine Boylan;Sean Connolly;Liam Marnane

  • Performance assessment for EEG-based neonatal seizure detectors

    A. Temko;E. Thomas;W. Marnane;G. Lightbody

  • Power system harmonic analysis using the Kalman filter

    K. Kennedy;G. Lightbody;R. Yacamini

  • Nonlinear Internal Model Control using Local Model Networks

    M.D. Brown;G. Lightbody;G.W. Irwin

  • Framework for smart transactive energy in home-microgrids considering coalition formation and demand side management

    Mousa Marzband;Mohammad Hossein Fouladfar;Mudathir Funsho Akorede;Gordon Lightbody

  • RBF principal manifolds for process monitoring

    D.J.H. Wilson;G.W. Irwin;G. Lightbody

  • Nonlinear system identification: From multiple-model networks to Gaussian processes

    Gregor Gregorčič;Gordon Lightbody

  • Gaussian process approach for modelling of nonlinear systems

    Gregor Gregorčič;Gordon Lightbody

  • Gaussian Process Modeling of EEG for the Detection of Neonatal Seizures

    S. Faul;G. Gregorcic;G. Boylan;W. Marnane

  • Annual international conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2010

    Orla Doyle;A Temko;D M Murray;G Lightbody

  • Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE

    Orla Doyle;B R Greene;D Murray;L Marnane

Frequent Co-Authors

Geraldine B. Boylan
Geraldine B. Boylan University College Cork
William P. Marnane
William P. Marnane University College Cork
George W. Irwin
George W. Irwin Queen's University Belfast
Mousa Marzband
Mousa Marzband Northumbria University
Rudy R. Negenborn
Rudy R. Negenborn Delft University of Technology
Seán McLoone
Seán McLoone Queen's University Belfast
Bart De Schutter
Bart De Schutter Delft University of Technology
Edris Pouresmaeil
Edris Pouresmaeil Aalto University
B. De Schutter
B. De Schutter Delft University of Technology
Emanuel Popovici
Emanuel Popovici University College Cork

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