World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
5909
World Ranking
12062
National Ranking
758

Seán McLoone 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 Seán McLoone 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: 303 publications — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Seán McLoone 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 Seán McLoone 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: 34 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Overview

Seán McLoone is affiliated with Queen's University Belfast in the United Kingdom. Their research spans the fields of Engineering and Computer Science, with a particular focus on subfields such as Control and Systems Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, and Biomedical Engineering.

The scientist's work covers several main topics including:

  • Prosthetics and Rehabilitation Robotics
  • Robot Manipulation and Learning
  • Fault Detection and Control Systems
  • Integrated Energy Systems Optimization
  • Industrial Vision Systems and Defect Detection
  • Robotic Path Planning Algorithms
  • Teleoperation and Haptic Systems

Seán McLoone has contributed to a number of recent publications. Some notable papers include:

  • "Dynamic grid stability in low carbon power systems with minimum inertia," 2023, Renewable Energy
  • "Heating and cooling networks: A comprehensive review of modelling approaches to map future directions," 2022, Energy
  • "A novel dynamic opposite learning enhanced Jaya optimization method for high efficiency plate-fin heat exchanger design optimization," 2023, Engineering Applications of Artificial Intelligence
  • "SEEM: A Sequence Entropy Energy-Based Model for Pedestrian Trajectory All-Then-One Prediction," 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "CVR and Loss Optimization Through Active Voltage Management: A Trade-off Analysis," 2020, IEEE Transactions on Power Delivery

Frequent collaborators in McLoone's research include:

  • Mien Van
  • Yuzhu Sun
  • Stephen McIlvanna
  • Federico Zocco
  • Aoife Foley

The scientist's work has been published extensively in venues such as:

  • arXiv (Cornell University)
  • IFAC-PapersOnLine
  • Engineering Applications of Artificial Intelligence
  • IEEE Transactions on Instrumentation and Measurement
  • SSRN Electronic Journal

Seán McLoone has also contributed to several books published by Springer's publishing groups. These include:

  • "Intelligent Equipment, Robots, and Vehicles," 2021, Springer Science+Business Media
  • "Decision Intelligence Solutions," 2023, Springer Science+Business Media
  • "Proceedings of the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020)," 2021, Springer Nature

Best Publications

  • Machine Learning for Predictive Maintenance: A Multiple Classifier Approach

    Gian Antonio Susto;Andrea Schirru;Simone Pampuri;Sean McLoone

  • Principal Component Analysis on Spatial Data: An Overview

    Urška Demšar;Paul Harris;Chris Brunsdon;A. Stewart Fotheringham

  • Artifact Removal in Physiological Signals—Practices and Possibilities

    K. T. Sweeney;T. E. Ward;S. F. McLoone

  • The Use of Ensemble Empirical Mode Decomposition With Canonical Correlation Analysis as a Novel Artifact Removal Technique

    K. T. Sweeney;S. F. McLoone;T. E. Ward

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

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

  • Real-time multiple event detection and classification using moving window PCA

    Mark Rafferty;Xueqin Amy Liu;David Laverty;Sean McLoone

  • A Methodology for Validating Artifact Removal Techniques for Physiological Signals

    K. T. Sweeney;H. Ayaz;T. E. Ward;M. Izzetoglu

  • Real-Time Multiple Event Detection and Classification Using Moving Window PCA

    Mark Rafferty;Xueqin Liu;David M. Laverty;Sean McLoone

  • Principal Component Analysis of Wide-Area Phasor Measurements for Islanding Detection—A Geometric View

    X. Liu;D. M. Laverty;R. J. Best;K. Li

  • Improving neural network training solutions using regularisation

    Seán Mc Loone;George Irwin

  • Swarm scheduling approaches for work-flow applications with security constraints in distributed data-intensive computing environments

    Hongbo Liu;Ajith Abraham;Václav Snášel;Seán McLoone

  • Supervised Aggregative Feature Extraction for Big Data Time Series Regression

    Gian Antonio Susto;Andrea Schirru;Simone Pampuri;Sean McLoone

  • Fast parallel off-line training of multilayer perceptrons

    S. McLoone;G.W. Irwin

  • Neural modelling, control and optimisation of an industrial grinding process

    James J. Govindhasamy;Seán F. McLoone;George W. Irwin;John J. French

  • Neural network based control for synchronous generators

    E. Swidenbank;S. McLoone;D. Flynn;G.W. Irwin

  • Anomaly detection through on-line isolation Forest: An application to plasma etching

    Gian Antonio Susto;Alessandro Beghi;Sean McLoone

  • DeepVM: A Deep Learning-based Approach with Automatic Feature Extraction for 2D Input Data Virtual Metrology

    Marco Maggipinto;Alessandro Beghi;Seán McLoone;Gian Antonio Susto

  • Residential electrical vehicle charging strategies: the good, the bad and the ugly

    Mingming Liu;Paul McNamara;Robert Shorten;Seán McLoone

  • A novel dynamic opposite learning enhanced Jaya optimization method for high efficiency plate-fin heat exchanger design optimization

    Unknown

  • Neural control of turbogenerator systems

    D. Flynn;S. McLoone;G. W. Irwin;M. D. Brown

  • Cognitively-Inspired Artificial Bee Colony Clustering for Cognitive Wireless Sensor Networks

    Sung-Soo Kim;Seán F. McLoone;Ji-Hwan Byeon;Seokcheon Lee

  • Optimal job scheduling in grid computing using efficient binary artificial bee colony optimization

    Sung-Soo Kim;Ji-Hwan Byeon;Hongbo Liu;Ajith Abraham

  • Distributed MPC for frequency regulation in multi-terminal HVDC grids

    Paul Mc Namara;Ronan Meere;Terence O'Donnell;Seán McLoone

Frequent Co-Authors

George W. Irwin
George W. Irwin Queen's University Belfast
Tomas E. Ward
Tomas E. Ward Dublin City University
John V. Ringwood
John V. Ringwood National University of Ireland, Maynooth
Wenping Cao
Wenping Cao Anhui University
Kang Li
Kang Li University of Leeds
Damian Flynn
Damian Flynn University College Dublin
Thomas Bäck
Thomas Bäck Leiden University
Ajith Abraham
Ajith Abraham Sai University
Robert Shorten
Robert Shorten Imperial College London
Gordon Lightbody
Gordon Lightbody University College Cork

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