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

Geraint A. Wiggins

D-Index & Metrics

Computer Science

D-Index
41
Citations
7082
World Ranking
8844
National Ranking
86

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
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
Judith Holler
Judith Holler Max Planck Society
Stephen McAdams
Stephen McAdams McGill University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science opens many doors, but your journey doesn’t have to stop at a traditional four-year degree. If you’re looking for quick entry into the tech field, consider easy certifications that pay well. These certifications can boost your resume and help you secure specialized roles without years of training.

For accelerated learning, discover the shortest master degree programs. These online options can help you upskill rapidly and increase your earning power, often in just 12-18 months.

Wondering which direction to take next? Check out the most in demand masters degrees to ensure your investment leads to high career growth and marketability.

Interested in a practical, two-year credential instead? Associate degree online programs are a flexible, affordable choice that can help you build technical skills and qualify for entry-level IT jobs or allow you to transfer to a bachelor’s program later.

Best Scientists Citing Geraint A. Wiggins

Trending Scientists

Recently Published Articles