World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
5940
World Ranking
9379
National Ranking
583

Liam Maguire 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 Liam Maguire 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: 237 publications — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Liam Maguire 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 Liam Maguire 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: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Overview

Liam Maguire is affiliated with the University of Ulster in the United Kingdom. Their research primarily addresses areas within neuroscience, with a focus on cognitive neuroscience. The scientist's work spans several interconnected domains related to brain function and disorders.

The main fields of study associated with Liam Maguire include:

  • Neuroscience

The subfields in which their research is concentrated are:

  • Cognitive Neuroscience
  • Psychiatry and Mental Health
  • Artificial Intelligence
  • Speech and Hearing
  • Management Information Systems

Liam Maguire's work covers several key research topics, including:

  • Dementia and Cognitive Impairment Research
  • Neural Dynamics and Brain Function
  • EEG and Brain-Computer Interfaces
  • Hearing Loss and Rehabilitation
  • Noise Effects and Management
  • Machine Learning in Healthcare
  • Functional Brain Connectivity Studies

Their recent papers illustrate the scope of their research activity and areas of interest. Notable publications include:

  • "Metastable neural dynamics underlies cognitive performance across multiple behavioural paradigms," 2020, published in Human Brain Mapping
  • "Association of the use of hearing aids with the conversion from mild cognitive impairment to dementia and progression of dementia: A longitudinal retrospective study," 2021, published in Alzheimer's & Dementia Translational Research & Clinical Interventions
  • "Using simulation-based system dynamics and genetic algorithms to reduce the cash flow bullwhip in the supply chain," 2020, published in International Journal of Production Research
  • "Anomaly Detection in Batch Manufacturing Processes Using Localized Reconstruction Errors From 1-D Convolutional AutoEncoders," 2022, published in IEEE Transactions on Semiconductor Manufacturing
  • "An Early Stage Researcher's Primer on Systems Medicine Terminology," 2021, published in Network and Systems Medicine

Liam Maguire frequently collaborates with several coauthors who have contributed jointly to multiple works. These include:

  • Damien Coyle
  • Magda Bucholc
  • Paula L. McClean
  • Xuemei Ding
  • Stephen Todd

The venues where Liam Maguire's research has been published reflect a variety of interdisciplinary approaches, combining neuroscience with clinical and technical fields. These venues include:

  • Human Brain Mapping
  • Alzheimer's & Dementia Translational Research & Clinical Interventions
  • International Journal of Production Research
  • IEEE Transactions on Semiconductor Manufacturing
  • Network and Systems Medicine

Best Publications

  • A review of learning in biologically plausible spiking neural networks

    Aboozar Taherkhani;Ammar Belatreche;Yuhua Li;Georgina Cosma

  • Predicting a chaotic time series using a fuzzy neural network

    L. P. Maguire;B. Roche;T. M. McGinnity;L. J. McDaid

  • Fault diagnosis of electronic systems using intelligent techniques: a review

    W.G. Fenton;T.M. McGinnity;L.P. Maguire

  • Challenges for large-scale implementations of spiking neural networks on FPGAs

    L. P. Maguire;T. M. McGinnity;B. Glackin;A. Ghani

  • Employing dynamic fuzzy membership functions to assess environmental performance in the supplier selection process

    P Humphreys;A McCloskey;R McIvor;LP Maguire

  • Selecting Critical Patterns Based on Local Geometrical and Statistical Information

    Yuhua Li;L Maguire

  • Statistical and computational intelligence techniques for inferential model development: a comparative evaluation and a novel proposition for fusion

    K. Warne;G. Prasad;S. Rezvani;L. Maguire

  • 2011 Special Issue: A thalamo-cortico-thalamic neural mass model to study alpha rhythms in Alzheimer's disease

    Basabdatta Sen Bhattacharya;Damien Coyle;Liam P. Maguire

  • An experimental evaluation of novelty detection methods

    Xuemei Ding;Yuhua Li;Ammar Belatreche;Liam P. Maguire

  • A review of rapid serial visual presentation-based brain-computer interfaces.

    Stephanie Lees;Natalie Dayan;Hubert Cecotti;Paul McCullagh

  • Edge Detection Based on Spiking Neural Network Model

    Qingxiang Wu;Martin Mcginnity;Liam Maguire;Ammar Belatreche

  • Minimizing the bullwhip effect in a supply chain using genetic algorithms

    Tina ODonnell;Liam Maguire;Ronan Thomas McIvor;P Humphreys

  • An online supervised learning method for spiking neural networks with adaptive structure

    Jinling Wang;Ammar Belatreche;Liam Maguire;Thomas Martin Mcginnity

  • Advances in Design and Application of Spiking Neural Networks

    Ammar Belatreche;Liam P. Maguire;Martin McGinnity

  • DL-ReSuMe: A Delay Learning-Based Remote Supervised Method for Spiking Neurons

    Aboozar Taherkhani;Ammar Belatreche;Yuhua Li;Liam P. Maguire

  • A novel approach for the implementation of large scale spiking neural networks on FPGA hardware

    B. Glackin;T. M. McGinnity;L. P. Maguire;Q. X. Wu

  • A practical computerized decision support system for predicting the severity of Alzheimer's disease of an individual.

    Magda Bucholc;Xuemei Ding;Haiying;HY Wang

  • A Supervised Learning Algorithm for Learning Precise Timing of Multiple Spikes in Multilayer Spiking Neural Networks

    Aboozar Taherkhani;Ammar Belatreche;Yuhua Li;Liam P. Maguire

  • Client-server architecture for collaborative remote experimentation

    M. J. Callaghan;J. Harkin;E. McColgan;T. M. McGinnity

  • The implementation of fuzzy systems, neural networks and fuzzy neural networks using

    J. J. Blake;L. P. Maguire;T. M. McGinnity;B. Roche

Frequent Co-Authors

TM McGinnity
TM McGinnity University of Ulster
Damien Coyle
Damien Coyle University of Ulster
Girijesh Prasad
Girijesh Prasad University of Ulster
Paul Humphreys
Paul Humphreys University of Ulster
Ronan McIvor
Ronan McIvor University of Ulster
David P. Finn
David P. Finn University of Galway
Hui Wang
Hui Wang University of Ulster
J. A. Scott Kelso
J. A. Scott Kelso Florida Atlantic University
Stefano Chessa
Stefano Chessa University of Pisa
Arun L.W. Bokde
Arun L.W. Bokde Trinity College Dublin

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