World's Best Scientists 2026 revealed!
William P. Marnane

William P. Marnane

D-Index & Metrics

Computer Science

D-Index
42
Citations
5956
World Ranking
8510
National Ranking
29

William P. Marnane publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where William P. Marnane sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 197 publications — 45th percentile

45% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

William P. Marnane D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where William P. Marnane sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 42 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

William P. Marnane is affiliated with University College Cork in Ireland, where their research primarily focuses on Medicine and Neuroscience. Their work spans several subfields including Pediatrics, Perinatology and Child Health, Cognitive Neuroscience, Endocrine and Autonomic Systems, Pulmonary and Respiratory Medicine, and Biomedical Engineering.

The scientist's main topics of research include Neonatal and fetal brain pathology, EEG and Brain-Computer Interfaces, Neuroscience of respiration and sleep, Neonatal Respiratory Health Research, Non-Invasive Vital Sign Monitoring, Cardiac Arrest and Resuscitation, and Atomic and Subatomic Physics Research.

Some of their recent papers are:

  • A machine-learning algorithm for neonatal seizure recognition: a multicentre, randomised, controlled trial, 2020, The Lancet Child & Adolescent Health
  • Neonatal Seizure Management: Is the Timing of Treatment Critical?, 2021, The Journal of Pediatrics
  • Grading hypoxic-ischemic encephalopathy in neonatal EEG with convolutional neural networks and quadratic time-frequency distributions, 2021, Journal of Neural Engineering
  • Machine learning for the early prediction of infants with electrographic seizures in neonatal hypoxic-ischemic encephalopathy, 2022, Epilepsia
  • Challenges of Developing Robust AI for Intrapartum Fetal Heart Rate Monitoring, 2021, Frontiers in Artificial Intelligence

Frequent co-authors in their research collaborations include Geraldine B. Boylan, Sean Mathieson, Gordon Lightbody, John M. O'Toole, and Andreea Pavel.

William P. Marnane has published multiple papers in venues such as arXiv (Cornell University), Zenodo (CERN European Organization for Nuclear Research), The Lancet Child & Adolescent Health, the 2021 29th European Signal Processing Conference (EUSIPCO), and The Journal of Pediatrics.

Best Publications

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

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

  • Energy-Efficient Low Duty Cycle MAC Protocol for Wireless Body Area Networks

    Stevan Jovica Marinkovic;Emanuel Mihai Popovici;Christian Spagnol;Stephen Faul

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

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

  • Hardware Implementation of GF(2 m ) LDPC Decoders.

    Christian Spagnol;Emanuel M. Popovici;William P. Marnane

  • Efficient architectures for implementing montgomery modular multiplication and RSA modular exponentiation on reconfigurable logic

    Alan Daly;William Marnane

  • Optimisation of the SHA-2 family of hash functions on FPGAs

    R.P. McEvoy;F.M. Crowe;C.C. Murphy;W.P. Marnane

  • Efficient hardware for the tate pairing calculation in characteristic three

    T. Kerins;W. P. Marnane;E. M. Popovici;P. S. L. M. Barreto

  • Novel Real-Time Low-Complexity QRS Complex Detector Based on Adaptive Thresholding

    Raquel Gutierrez-Rivas;Juan Jesus Garcia;William P. Marnane;Alvaro Hernandez

  • FPGA Implementations of the Round Two SHA-3 Candidates

    Brian Baldwin;Andrew Byrne;Liang Lu;Mark Hamilton

  • A machine-learning algorithm for neonatal seizure recognition: a multicentre, randomised, controlled trial.

    Andreea M Pavel;Janet M Rennie;Linda S de Vries;Mats Blennow;Mats Blennow

  • Performance assessment for EEG-based neonatal seizure detectors

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

  • Hardware Implementation of ${ m GF}(2^{m})$ LDPC Decoders

    C. Spagnol;E.M. Popovici;W.P. Marnane

  • Hardware Implementation of LDPC Decoders

    Christian Spagnol;Emanuel Mihai Popovici;William Peter Marnane

  • Automatic detection of EEG artefacts arising from head movements using EEG and gyroscope signals

    Simon O’Regan;Stephen Faul;William Marnane

  • An FPGA implementation of a GF(p) ALU for encryption processors

    Alan Daly;William P. Marnane;Tim Kerins;Emanuel M. Popovici

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

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

  • Differential power analysis of HMAC based on SHA-2, and countermeasures

    Robert McEvoy;Michael Tunstall;Colin C. Murphy;William P. Marnane

  • An Automated System for Grading EEG Abnormality in Term Neonates with Hypoxic-Ischaemic Encephalopathy

    N. J. Stevenson;I. Korotchikova;A. Temko;G. Lightbody

  • Robust neonatal EEG seizure detection through adaptive background modeling.

    Andrey Temko;Geraldine B. Boylan;William P. Marnane;Gordon Lightbody

  • Automatic detection of EEG artefacts arising from head movements

    Simon O' Regan;Stephen Faul;William Marnane

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

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

  • Identity- Based Cryptography

    C. Whelan;A. Byrne;Daniel Page;Frederik R G Vercauteren

Frequent Co-Authors

Geraldine B. Boylan
Geraldine B. Boylan University College Cork
Gordon Lightbody
Gordon Lightbody University College Cork
Emanuel Popovici
Emanuel Popovici University College Cork
Edward Jones
Edward Jones University of Galway
Martin Glavin
Martin Glavin University of Galway
Maire O'Neill
Maire O'Neill Queen's University Belfast
Jonathan O'b. Hourihane
Jonathan O'b. Hourihane Royal College of Surgeons in Ireland
Alexander C. van Huffelen
Alexander C. van Huffelen Utrecht University
Linda S. de Vries
Linda S. de Vries Utrecht University

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