World's Best Scientists 2026 revealed!
Noel E. O'Connor

Noel E. O'Connor

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Computer Science
Ireland
2026

D-Index & Metrics

Computer Science

D-Index
57
Citations
13823
World Ranking
3815
National Ranking
8

Noel E. O'Connor 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 Noel E. O'Connor 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: 613 publications — 97th percentile

97% of scientists in this discipline score the same or lower.

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

Noel E. O'Connor 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 Noel E. O'Connor 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: 57 D-Index — 74th percentile

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

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

Research.com Recognitions

  • 2026 - Research.com Computer Science in Ireland Leader Award
  • 2025 - Research.com Computer Science in Ireland Leader Award

Overview

Noel E. O'Connor is affiliated with Dublin City University in Ireland. Their research primarily spans the field of Computer Science with a significant focus on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering, and Computer Networks and Communications.

The scientist's work covers a wide range of topics, including:

  • Machine Learning and Data Classification
  • Anomaly Detection Techniques and Applications
  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Image and Video Retrieval Techniques
  • Radiomics and Machine Learning in Medical Imaging
  • Visual Attention and Saliency Detection

O'Connor has a substantial publication record with 166 publications categorized under Computer Science, among which 78 focus on Computer Vision and Pattern Recognition, 64 on Artificial Intelligence, 21 on Radiology, Nuclear Medicine and Imaging, 10 on Electrical and Electronic Engineering, and 9 on Computer Networks and Communications.

Frequent publication venues for their work include:

  • arXiv (Cornell University)
  • Sensors
  • 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • Expert Systems
  • Preprints.org

Several notable recent papers authored or co-authored by O'Connor are:

  • "A comprehensive review of catchment water quality monitoring using a tiered framework of integrated sensing technologies" (2020), published in The Science of The Total Environment
  • "Movement competence: Association with physical self-efficacy and physical activity" (2020), published in Human Movement Science
  • "Exploring the relationships between fundamental movement skills and health related fitness components in children" (2020), published in European Journal of Sport Science
  • "Bio-inspired Surface Texture Modification as a Viable Feature of Future Aquatic Antifouling Strategies: A Review" (2020), published in International Journal of Molecular Sciences
  • "A Quality of Experience assessment of haptic and augmented reality feedback modalities in a gait analysis system" (2020), published in PLoS ONE

O'Connor has collaborated frequently with several co-authors, including:

  • Kevin McGuinness
  • Mingming Liu
  • Eric Arazo
  • Alan F. Smeaton
  • Suzanne Little

Best Publications

  • Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning

    Eric Arazo;Diego Ortego;Paul Albert;Noel E. O'Connor

  • Shallow and Deep Convolutional Networks for Saliency Prediction

    Junting Pan;Elisa Sayrol;Xavier Giro-I-Nieto;Kevin McGuinness

  • SalGAN: visual saliency prediction with generative adversarial networks

    Junting Pan;Cristian Canton-Ferrer;Kevin McGuinness;Noel E. O'Connor

  • Unsupervised Label Noise Modeling and Loss Correction

    Eric Arazo;Diego Ortego;Paul Albert;Noel E. O'Connor

  • A comparative evaluation of interactive segmentation algorithms

    Kevin McGuinness;Noel E. O'Connor

  • A multiscale representation method for nonrigid shapes with a single closed contour

    T. Adamek;N.E. O'Connor

  • Event detection in field sports video using audio-visual features and a support vector Machine

    D.A. Sadlier;N.E. O'Connor

  • Quantifying radiographic knee osteoarthritis severity using deep convolutional neural networks

    Joseph Antony;Kevin McGuinness;Noel E O'Connor;Kieran Moran

  • Evaluating a dancer's performance using kinect-based skeleton tracking

    Dimitrios S. Alexiadis;Philip Kelly;Petros Daras;Noel E. O'Connor

  • Shallow and Deep Convolutional Networks for Saliency Prediction

    Junting Pan;Kevin McGuinness;Elisa Sayrol;Noel O'Connor

  • Bags of Local Convolutional Features for Scalable Instance Search

    Eva Mohedano;Kevin McGuinness;Noel E. O'Connor;Amaia Salvador

  • Classification of Sporting Activities Using Smartphone Accelerometers

    Edmond Mitchell;David S. Monaghan;Noel E. O'Connor

  • Passively recognising human activities through lifelogging

    Aiden R. Doherty;Niamh Caprani;Ciarán í Conaire;Vaiva Kalnikaite

  • Automatic Detection of Knee Joints and Quantification of Knee Osteoarthritis Severity Using Convolutional Neural Networks

    Joseph Antony;Kevin McGuinness;Kieran Moran;Noel E. O’Connor

  • Touch Screens for the Older User

    Niamh Caprani;Noel E. O’Connor;Cathal Gurrin

  • Fully Convolutional Crowd Counting on Highly Congested Scenes

    Mark Marsden;Kevin McGuinness;Suzanne Little;Noel E. O’Connor

  • Automatic TV advertisement detection from MPEG bitstream

    David A. Sadlier;Seán Marlow;Noel E. O'Connor;Noel Murphy

  • The Convergence of Virtual Reality and Social Networks: Threats to Privacy and Autonomy.

    Fiachra O'Brolcháin;Tim Jacquemard;David S. Monaghan;Noel E. O'Connor

  • ResnetCrowd: A residual deep learning architecture for crowd counting, violent behaviour detection and crowd density level classification

    Mark Marsden;Kevin McGuinness;Suzanne Little;Noel E. O'Connor

  • Word matching using single closed contours for indexing handwritten historical documents

    Tomasz Adamek;Noel E. O’Connor;Alan F. Smeaton

  • Detector adaptation by maximising agreement between independent data sources

    C.O. Conaire;N.E. O'Connor;A.F. Smeaton

Frequent Co-Authors

Alan F. Smeaton
Alan F. Smeaton Dublin City University
Cathal Gurrin
Cathal Gurrin Dublin City University
Dermot Diamond
Dermot Diamond Dublin City University
Petros Daras
Petros Daras Information Technologies Institute, Greece
Ebroul Izquierdo
Ebroul Izquierdo Queen Mary University of London
Aiden R. Doherty
Aiden R. Doherty University of Oxford
Yannis Avrithis
Yannis Avrithis Institute of Advanced Research on Artificial Intelligence (IARAI)
Steffen Staab
Steffen Staab University of Stuttgart
Matthijs Douze
Matthijs Douze Facebook (United States)
Cordelia Schmid
Cordelia Schmid French Institute for Research in Computer Science and Automation - INRIA

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