World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
6869
World Ranking
10155
National Ranking
633

George D. Magoulas 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 George D. Magoulas 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.

George D. Magoulas 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 George D. Magoulas 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

George D. Magoulas is affiliated with Birkbeck, University of London in the United Kingdom. Their research spans multiple fields of study, primarily Neuroscience, Engineering, and Medicine, with a focus on a variety of subfields including Cognitive Neuroscience, Artificial Intelligence, Psychiatry and Mental Health, Neurology, and Safety, Risk, Reliability and Quality.

Their work covers several main topics, which include Functional Brain Connectivity Studies, Dementia and Cognitive Impairment Research, Brain Tumor Detection and Classification, Imbalanced Data Classification Techniques, Traffic and Road Safety, Traffic Prediction and Management Techniques, and Morphological Variations and Asymmetry.

Recent scholarly publications by George D. Magoulas include the following:

  • Brain Asymmetry Detection and Machine Learning Classification for Diagnosis of Early Dementia, 2021, Sensors
  • Convolutional Neural Networks-Based Framework for Early Identification of Dementia Using MRI of Brain Asymmetry, 2022, International Journal of Neural Systems
  • Evolving Connectionist Models to Capture Population Variability across Language Development: Modeling Children's Past Tense Formation, 2020, Artificial Life
  • Predicting Seriousness of Injury in a Traffic Accident: A New Imbalanced Dataset and Benchmark, 2022, BIROn (Birkbeck, University of London)

Frequent coauthors collaborating with George D. Magoulas include:

  • Nitsa J. Herzog
  • Michael S. C. Thomas
  • Paschalis Lagias
  • Alessandro Provetti
  • Mihai Ermaliuc

The researcher has published articles in several venues, highlighted by these frequent publication sources:

  • Sensors
  • International Journal of Neural Systems
  • Artificial Life
  • BIROn (Birkbeck, University of London)

Best Publications

  • Personalizing the Interaction in a Web-based Educational Hypermedia System: the case of INSPIRE

    Kyparisia A. Papanikolaou;Maria Grigoriadou;Harry Kornilakis;George D. Magoulas

  • Learning as immersive experiences: Using the four-dimensional framework for designing and evaluating immersive learning experiences in a virtual world

    Sara de Freitas;Genaro Rebolledo-Mendez;Fotis Liarokapis;George D. Magoulas

  • INSPIRE: An INtelligent system for personalized instruction in a remote environment

    Kyparisia A. Papanikolaou;Maria Grigoriadou;Harry Kornilakis;George D. Magoulas

  • Effective backpropagation training with variable stepsize

    George D. Magoulas;Michael N. Vrahatis;George S. Androulakis

  • A constructionist learning environment for teachers to model learning designs

    D. Laurillard;P. Charlton;B. Craft;D. Dimakopoulos

  • Towards new forms of knowledge communication: the adaptive dimension of a web-based learning environment

    Kyparisia A. Papanikolaou;Maria Grigoriadou;George D. Magoulas;Harry Kornilakis

  • New globally convergent training scheme based on the resilient propagation algorithm

    Aristoklis D. Anastasiadis;George D. Magoulas;Michael N. Vrahatis

  • Improving the convergence of the backpropagation algorithm using learning rate adaptation methods

    G. D. Magoulas;M. N. Vrahatis;G. S. Androulakis

  • Adaptive web-based learning: accommodating individual differences through system's adaptation

    George D. Magoulas;Yparisia Papanikolaou;Maria Grigoriadou

  • A class of gradient unconstrained minimization algorithms with adaptive stepsize

    M. N. Vrahatis;G. S. Androulakis;J. N. Lambrinos;G. D. Magoulas

  • Objective function “stretching” to alleviate convergence to local minima

    K.E. Parsopoulos;V.P. Plagianakos;G.D. Magoulas;M.N. Vrahatis

  • Modeling human behavior in user-adaptive systems: Recent advances using soft computing techniques

    E. Frias-Martinez;G. Magoulas;S. Chen;R. Macredie

  • Machine Learning in Medical Applications

    George D. Magoulas;Andriana Prentza

  • Improving the Particle Swarm Optimizer by Function “Stretching”

    K. E. Parsopoulos;V. P. Plagianakos;G. D. Magoulas;M. N. Vrahatis

  • Neural network-based colonoscopic diagnosis using on-line learning and differential evolution

    George D. Magoulas;Vassilis P. Plagianakos;Michael N. Vrahatis

  • Automated user modeling for personalized digital libraries

    E. Frias-Martinez;G. Magoulas;S. Chen;R. Macredie

  • Neuro-fuzzy knowledge processing in intelligent learning environments for improved student diagnosis

    Regina Stathacopoulou;George D. Magoulas;Maria Grigoriadou;Maria Samarakou

  • Adaptable and Adaptive Hypermedia Systems

    Sherry Y. Chen;George D. Magoulas

  • Neural network-based fuzzy modeling of the student in intelligent tutoring systems

    R. Stathacopoulou;G.D. Magoulas;M. Grigoriadou

  • A flexible interface design for Web directories to accommodate different cognitive styles

    Sherry Y. Chen;George D. Magoulas;Dionisios Dimakopoulos

  • Model-based design and evaluation of interactive applications

    George D. Magoulas

Frequent Co-Authors

Michael N. Vrahatis
Michael N. Vrahatis University of Patras
Alexandra Poulovassilis
Alexandra Poulovassilis Birkbeck, University of London
Sherry Y. Chen
Sherry Y. Chen National Central University
Martin Oliver
Martin Oliver University College London
Michael S.C. Thomas
Michael S.C. Thomas Birkbeck, University of London
Gheorghita Ghinea
Gheorghita Ghinea Brunel University London
Xiaohui Liu
Xiaohui Liu Brunel University London
Robert D. Macredie
Robert D. Macredie Brunel University London
George Roussos
George Roussos Birkbeck, University of London
Ray J. Paul
Ray J. Paul Brunel University London

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