World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
85
Citations
77749
World Ranking
1311
National Ranking
144

Engineering and Technology

D-Index
81
Citations
75353
World Ranking
479
National Ranking
32

Overview

Mark W. Woolrich is affiliated with the University of Oxford in the United Kingdom. Their research primarily focuses on neuroscience with an extensive publication record that spans various subfields, including cognitive neuroscience, radiology, nuclear medicine and imaging, neurology, cellular and molecular neuroscience, and artificial intelligence.

The scientist's main research topics include functional brain connectivity studies, neural dynamics and brain function, EEG and brain-computer interfaces, advanced neuroimaging techniques and applications, advanced MRI techniques and applications, neurological disorders and treatments, and neuroscience and neuropharmacology research.

Notable recent papers demonstrate the breadth of their work and include:

  • Optimising network modelling methods for fMRI, 2020, NeuroImage
  • Challenges and future directions for representations of functional brain organization, 2020, Nature Neuroscience
  • Replay bursts in humans coincide with activation of the default mode and parietal alpha networks, 2020, Neuron
  • EMD: Empirical Mode Decomposition and Hilbert-Huang Spectral Analyses in Python, 2021, The Journal of Open Source Software
  • Behavioural relevance of spontaneous, transient brain network interactions in fMRI, 2021, NeuroImage

Frequently collaborating researchers include:

  • Andrew J. Quinn
  • Diego Vidaurre
  • Chetan Gohil
  • Anna C. Nobre
  • Mats W.J. van Es

Mark W. Woolrich's work appears regularly in several scientific venues with multiple publications in:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Human Brain Mapping
  • NeuroImage
  • Imaging Neuroscience
  • arXiv (Cornell University)

The comprehensive scope of their research covers both theoretical and applied aspects of brain function and connectivity, utilizing advanced imaging modalities and computational techniques. This multidisciplinary approach integrates neuroscience with imaging sciences and computational methods, contributing to a deeper understanding of brain organization and dynamics.

Best Publications

  • Advances in functional and structural MR image analysis and implementation as FSL.

    S M Smith;M Jenkinson;M W Woolrich;M W Woolrich;C F Beckmann

  • New advances in the Clinica software platform for clinical neuroimaging studies

    Alexandre Routier;Arnaud Marcoux;Mauricio Diaz Melo;Jérémy Guillon

  • Probabilistic diffusion tractography with multiple fibre orientations: What can we gain?

    Behrens Tej.;H J Berg;S Jbabdi;Rushworth Mfs.

  • Characterization and propagation of uncertainty in diffusion-weighted MR imaging.

    Timothy E.J. Behrens;M. W. Woolrich;Mi Jenkinson;H. Johansen-Berg

  • Temporal autocorrelation in univariate linear modeling of FMRI data.

    Mark W. Woolrich;Brian D. Ripley;J. Michael Brady;Stephen M. Smith

  • Bayesian analysis of neuroimaging data in FSL.

    Mark William Woolrich;Saâd Jbabdi;Brian Patenaude;Michael A. Chappell

  • Non-invasive mapping of connections between human thalamus and cortex using diffusion imaging

    T E J Behrens;H Johansen-Berg;M W Woolrich;M W Woolrich;S M Smith

  • Learning the value of information in an uncertain world

    Timothy E J Behrens;Mark W Woolrich;Mark E Walton;Matthew F S Rushworth;Matthew F S Rushworth

  • Network modelling methods for FMRI.

    Stephen M. Smith;Karla L. Miller;Gholamreza Salimi-Khorshidi;Matthew Webster

  • Multilevel linear modelling for FMRI group analysis using Bayesian inference.

    Mark W. Woolrich;Mark W. Woolrich;Timothy Edward John Behrens;Timothy Edward John Behrens;Christian F. Beckmann;Christian F. Beckmann;Mark Jenkinson

  • Resting-state fMRI in the Human Connectome Project

    S M Smith;C F Beckmann;J Andersson;E J Auerbach

  • Associative learning of social value

    Timothy E. J. Behrens;Laurence T. Hunt;Laurence T. Hunt;Mark W. Woolrich;Matthew F. S. Rushworth;Matthew F. S. Rushworth

  • Functional connectomics from resting-state fMRI

    S.M. Smith;D. Vidaurre;Christian Beckmann;Christian Beckmann;Christian Beckmann;M.F. Glasser

  • Investigating the electrophysiological basis of resting state networks using magnetoencephalography

    Matthew J. Brookes;Mark Woolrich;Henry Luckhoo;Darren Price

  • Tools of the trade: psychophysiological interactions and functional connectivity

    Jill X. O’Reilly;Mark W. Woolrich;Timothy E.J. Behrens;Stephen M. Smith

  • Brain network dynamics are hierarchically organized in time

    Diego Vidaurre;Stephen M. Smith;Mark W. Woolrich

  • Temporally-independent functional modes of spontaneous brain activity

    Stephen M. Smith;Karla L. Miller;Steen Moeller;Junqian Xu

  • How Green Is the Grass on the Other Side? Frontopolar Cortex and the Evidence in Favor of Alternative Courses of Action

    Erie D. Boorman;Timothy E.J. Behrens;Mark W. Woolrich;Matthew F.S. Rushworth

  • Fast transient networks in spontaneous human brain activity

    Adam P. Baker;Matthew J. Brookes;Iead A. Rezek;Stephen M. Smith

  • Robust group analysis using outlier inference.

    Mark William Woolrich

Frequent Co-Authors

Stephen M. Smith
Stephen M. Smith University of Oxford
Timothy E.J. Behrens
Timothy E.J. Behrens University of Oxford
Anna C. Nobre
Anna C. Nobre Yale University
Christian F. Beckmann
Christian F. Beckmann Radboud University
Matthew J. Brookes
Matthew J. Brookes University of Nottingham
Morten L. Kringelbach
Morten L. Kringelbach University of Oxford
Thomas E. Nichols
Thomas E. Nichols University of Oxford
Gustavo Deco
Gustavo Deco Pompeu Fabra University
Mark Jenkinson
Mark Jenkinson University of Oxford
Paul M. Matthews
Paul M. Matthews Imperial College London

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