World's Best Scientists 2026 revealed!
Geraint A. Wiggins

Geraint A. Wiggins

D-Index & Metrics

Computer Science

D-Index
41
Citations
7082
World Ranking
8843
National Ranking
86

Geraint A. Wiggins 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 Geraint A. Wiggins 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: 228 publications — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Geraint A. Wiggins 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 Geraint A. Wiggins 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Geraint A. Wiggins is affiliated with the Vrije Universiteit Brussel in Belgium. Their research primarily spans computer science and neuroscience, with notable contributions in cognitive neuroscience, signal processing, computer vision and pattern recognition, artificial intelligence, and experimental and cognitive psychology.

The scientist's work frequently addresses topics related to music and audio processing, music technology and sound studies, neuroscience and music perception, neural networks and applications, embodied and extended cognition, diverse musicological studies, and cognitive science and education research.

Wiggins has contributed to a variety of publication venues, including:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Entropy
  • Philosophical Transactions of the Royal Society B Biological Sciences
  • Frontiers in Neuroscience

Recent papers authored or co-authored by Wiggins include:

  • Multilevel rhythms in multimodal communication, 2021, Philosophical Transactions of the Royal Society B Biological Sciences
  • Statistical Properties of Musical Creativity: Roles of Hierarchy and Uncertainty in Statistical Learning, 2021, Frontiers in Neuroscience
  • Live Coding Towards Computational Creativity, 2022, Zenodo (CERN European Organization for Nuclear Research)
  • ATEPP: A Dataset of Automatically Transcribed Expressive Piano Performance, 2022, Zenodo (CERN European Organization for Nuclear Research)
  • Reconstructing Human Expressiveness in Piano Performances with a Transformer Network, 2023, arXiv (Cornell University)

Among frequent co-authors are Jingjing Tang, Alex McLean, György Fazekas, Steven Homer, and Nicholas Harley. Each of these collaborators has contributed alongside Wiggins to multiple research outputs.

Best Publications

  • Computational creativity: the final frontier?

    Simon Colton;Geraint A. Wiggins

  • A preliminary framework for description, analysis and comparison of creative systems

    Geraint A. Wiggins

  • EXPECTATION IN MELODY: THE INFLUENCE OF CONTEXT AND LEARNING

    Marcus T. Pearce;Geraint A. Wiggins

  • AI methods for algorithmic composition: A survey, a critical view and future prospects

    G. Papadopoulos;G. A. Wiggins

  • Unsupervised statistical learning underpins computational, behavioural, and neural manifestations of musical expectation

    Marcus T. Pearce;Marcus T. Pearce;María Herrojo Ruiz;Selina Kapasi;Geraint A. Wiggins

  • Auditory Expectation: The Information Dynamics of Music Perception and Cognition

    Marcus T. Pearce;Geraint A. Wiggins

  • Algorithms for discovering repeated patterns in multidimensional representations of polyphonic music

    David Meredith;Kjell Lemström;Geraint A. Wiggins

  • Searching for Computational Creativity

    Geraint A. Wiggins

  • Improved Methods for Statistical Modelling of Monophonic Music

    Marcus T. Pearce;Geraint A. Wiggins

  • The Role of Expectation and Probabilistic Learning in Auditory Boundary Perception: A Model Comparison:

    Marcus T Pearce;Daniel Müllensiefen;Geraint A Wiggins

  • Statistical Learning of Harmonic Movement

    Dan Ponsford;Geraint Wiggins;Chris Mellish

  • Evolutionary methods for musical composition

    G. A. Wiggins;G. Papadopoulos;S. Phon--Amnuaisuk;A. Tuson

  • A Framework for the Evaluation of Music Representation Systems

    Geraint Wiggins;Eduardo Miranda;Alan Smaill;Mitch Harris

  • Towards a framework for the evaluation of machine compositions

    M. T. Pearce;G. A. Wiggins

  • Converging on the Divergent: The History (and Future) of the International Joint Workshops in Computational Creativity

    Amílcar Cardoso;Tony Veale;Geraint A. Wiggins

  • Motivations and Methodologies for Automation of the Compositional Process

    Marcus Pearce;David Meredith;Geraint Wiggins

  • The Four-Part Harmonisation Problem: A Comparison between Genetic Algorithms and a Rule-Based System

    A. Phon-Amnuaisuk;G. A. Wiggins

  • Evaluating Cognitive Models of Musical Composition

    Marcus T. Pearce;Geraint A. Wiggins

  • A Genetic Algorithm for the Generation of Jazz Melodies

    G. Papadopoulos;G. A. Wiggins

  • Visualisation of live code

    Alex McLean;Dave Griffiths;Nick Collins;Geraint Wiggins

  • Semantic Gap?? Schemantic Schmap!! Methodological Considerations in the Scientific Study of Music

    Geraint A. Wiggins

Frequent Co-Authors

Marcus T. Pearce
Marcus T. Pearce Queen Mary University of London
Matthew Purver
Matthew Purver Queen Mary University of London
Mark Sandler
Mark Sandler Google (United States)
Joydeep Bhattacharya
Joydeep Bhattacharya Goldsmiths University of London
Nada Lavrač
Nada Lavrač Jozef Stefan Institute
Eduardo Miranda
Eduardo Miranda Stanford University
Constance Scharff
Constance Scharff Freie Universität Berlin
Alan Bundy
Alan Bundy University of Edinburgh
Ruth Aylett
Ruth Aylett Heriot-Watt University
Stephen McAdams
Stephen McAdams McGill University

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