World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
6533
World Ranking
10189
National Ranking
37

Tomas E. Ward 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 Tomas E. Ward 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: 230 publications — 57th percentile

57% of scientists in this discipline score the same or lower.

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

Tomas E. Ward 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 Tomas E. Ward 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: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Overview

Tomas E. Ward is affiliated with Dublin City University in Ireland. Their research spans multiple fields, with a primary focus on Medicine and Computer Science. Within these broad areas, Tomas has contributed extensively to subfields such as Cognitive Neuroscience, Computer Vision and Pattern Recognition, Artificial Intelligence, Cardiology and Cardiovascular Medicine, and Pharmacology.

Their work covers a range of topics, with notable emphasis on musculoskeletal pain and rehabilitation, EEG and brain-computer interfaces, sports injuries and prevention, generative adversarial networks and image synthesis, non-invasive vital sign monitoring, heart rate variability and autonomic control, and neural and behavioral psychology studies.

Tomas E. Ward has co-authored research with several frequent collaborators. These include Eoin Brophy, Ciarán Purcell, Bróna M. Fullen, Brian Caulfield, and Zhengwei Wang. Collaborative efforts with these researchers have contributed to a body of literature in diverse domains.

Their recent publications demonstrate a focus on generative adversarial networks, reinforcement learning, and healthcare data analytics. Recent papers include:

  • Generative Adversarial Networks in Time Series: A Systematic Literature Review, 2022, ACM Computing Surveys
  • Generative Adversarial Networks in Computer Vision, 2021, ACM Computing Surveys
  • Deep Adversarial Imitation Reinforcement Learning for QoS-Aware Cloud Job Scheduling, 2021, IEEE Systems Journal
  • Predicting Medication Adherence Using Ensemble Learning and Deep Learning Models with Large Scale Healthcare Data, 2021, Scientific Reports
  • The Potential of Electrospinning to Enable the Realization of Energy-Autonomous Wearable Sensing Systems, 2024, ACS Nano

Tomas has published frequently in several venues including arXiv (Cornell University), bioRxiv (Cold Spring Harbor Laboratory), Zenodo (CERN European Organization for Nuclear Research), Frontiers in Neuroergonomics, and ACM Transactions on Knowledge Discovery from Data. These publication venues reflect an interdisciplinary approach crossing computer science and biomedical domains.

Best Publications

  • Brain-computer interface using a simplified functional near-infrared spectroscopy system.

    Shirley M Coyle;Tomás E Ward;Charles M Markham

  • Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy

    Zhengwei Wang;Qi She;Tomás E. Ward

  • On the suitability of near-infrared (NIR) systems for next-generation brain?computer interfaces

    Shirley Coyle;Tomas E. Ward;Charles Markham;Gary McDarby

  • 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

  • Brain computer interfaces for neurorehabilitation – its current status as a rehabilitation strategy post-stroke.

    L.E.H. van Dokkum;T. Ward;I. Laffont

  • Hemodynamics for Brain-Computer Interfaces

    F. Matthews;B.A. Pearlmutter;T.E. Ward;C. Soraghan

  • Wearable Inertial Sensor Systems for Lower Limb Exercise Detection and Evaluation: A Systematic Review

    Martin O’Reilly;Brian Caulfield;Tomas Ward;William Johnston

  • Medical applications of terahertz imaging: a review of current technology and potential applications in biomedical engineering

    K. Humphreys;J.P. Loughran;M. Gradziel;W. Lanigan

  • A Methodology for Validating Artifact Removal Techniques for Physiological Signals

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

  • On consistency and network latency in distributed interactive applications: a survey--part I

    Declan Delaney;Tomás Ward;Seamus McLoone

  • Similar scaling of contralateral and ipsilateral cortical responses during graded unimanual force generation.

    Gerard Derosiere;Francois Alexandre;Nicolas Bourdillon;Kevin Mandrick

  • Algorithm for optimal denoising of Raman spectra

    Sinead J. Barton;Tomas E. Ward;Bryan M. Hennelly

  • Development of a wearable motion capture suit and virtual reality biofeedback system for the instruction and analysis of sports rehabilitation exercises

    D. Fitzgerald;J. Foody;D. Kelly;T. Ward

  • NIRS-measured prefrontal cortex activity in neuroergonomics: strengths and weaknesses

    Gerard Derosiere;Kevin Mandrick;Gerard Dray;Tomas E Ward

  • Physiological noise in near-infrared spectroscopy: implications for optical brain computer interfacing

    S. Coyle;T. Ward;C. Markham

  • A P300-Based Brain-Computer Interface for Improving Attention

    Mahnaz Arvaneh;Ian H. Robertson;Tomas E. Ward

  • Generative Adversarial Networks: A Survey and Taxonomy.

    Zhengwei Wang;Qi She;Tomas E. Ward

  • Automatic Blind Syllable Segmentation for Continuous Speech

    Rudi Villing;Joseph Timoney;Tomas E. Ward

  • Technology in Rehabilitation: Evaluating the Single Leg Squat Exercise with Wearable Inertial Measurement Units.

    Darragh F Whelan;Martin A O'Reilly;Tomás E Ward;Eamonn Delahunt

  • Synthesis of Realistic ECG using Generative Adversarial Networks

    Anne Marie Delaney;Eoin Brophy;Tomas E. Ward

  • Brain–computer interfaces: a review

    Shirley Coyle;Tomas E. Ward;Charles Markham

  • Hemodynamics for brain-computer interfaces: optical correlates of control signals

    Fiachra Matthews;Barak A. Pearlmutter;Tomas E. Ward;Christopher Soraghan

Frequent Co-Authors

Alan F. Smeaton
Alan F. Smeaton Dublin City University
Seán McLoone
Seán McLoone Queen's University Belfast
Stéphane Perrey
Stéphane Perrey University of Montpellier
Ian H. Robertson
Ian H. Robertson Trinity College Dublin
Bryan Roche
Bryan Roche National University of Ireland, Maynooth
Barak A. Pearlmutter
Barak A. Pearlmutter National University of Ireland, Maynooth
Cathal Gurrin
Cathal Gurrin Dublin City University
Hasan Ayaz
Hasan Ayaz Drexel University
Dermot Diamond
Dermot Diamond Dublin City University
John V. Ringwood
John V. Ringwood National University of Ireland, Maynooth

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