World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
5940
World Ranking
9380
National Ranking
586

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
David P. Finn
David P. Finn University of Galway
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
Alessio Micheli
Alessio Micheli University of Pisa
Alessandro Saffiotti
Alessandro Saffiotti Örebro University
Habib Benali
Habib Benali Concordia University

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