World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
8127
World Ranking
11043
National Ranking
699

Overview

Guillaume Flandin is affiliated with University College London in the United Kingdom. Their research primarily spans the fields of Medicine and Mathematics, with a significant focus on Modeling and Simulation, Epidemiology, and Infectious Diseases.

Their work has extensively covered topics related to COVID-19 epidemiological studies, Influenza virus research, and SARS-CoV-2 and COVID-19 research. Additional areas of study include Functional Brain Connectivity, Vaccine Coverage and Hesitancy, and advanced neuroimaging techniques.

Flandin's recent papers include the following:

  • Dynamic causal modelling of COVID-19, 2020, published in DOAJ (DOAJ: Directory of Open Access Journals)
  • Second waves, social distancing, and the spread of COVID-19 across America, 2020, published in Wellcome Open Research
  • Brainhack: Developing a culture of open, inclusive, community-driven neuroscience, 2021, published in Neuron
  • Neurodesk: an accessible, flexible and portable data analysis environment for reproducible neuroimaging, 2024, published in Nature Methods
  • Second waves, social distancing, and the spread of COVID-19 across the USA, 2021, published in Wellcome Open Research

Frequent coauthors collaborating with Flandin include:

  • Karl Friston
  • Adeel Razi
  • Thomas Parr
  • Peter Zeidman
  • Vladimir Litvak

The researcher has contributed to several publication venues multiple times. These include:

  • Wellcome Open Research
  • Scientific Data
  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • The Journal of Open Source Software

Best Publications

  • The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments.

    Krzysztof J. Gorgolewski;Tibor Auer;Vince D. Calhoun;R. Cameron Craddock

  • Multiple sparse priors for the M/EEG inverse problem

    Karl J. Friston;Lee M. Harrison;Jean Daunizeau;Stefan J. Kiebel

  • EEG and MEG data analysis in SPM8.

    Vladimir Litvak;Jérémie Mattout;Stefan J. Kiebel;Christophe Phillips

  • Topological FDR for neuroimaging.

    Justin R. Chumbley;Keith J. Worsley;Guillaume Flandin;Karl J. Friston

  • EEG-BIDS, an extension to the brain imaging data structure for electroencephalography.

    Cyril R. Pernet;Stefan Appelhoff;Krzysztof J. Gorgolewski;Guillaume Flandin

  • BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods

    Krzysztof J. Gorgolewski;Fidel Alfaro-Almagro;Tibor Auer;Pierre Bellec

  • Dealing with the shortcomings of spatial normalization: multi-subject parcellation of fMRI datasets.

    Bertrand Thirion;Guillaume Flandin;Philippe Pinel;Alexis Roche

  • Resting state functional MRI in Parkinson's disease: the impact of deep brain stimulation on 'effective' connectivity.

    Joshua Kahan;Maren Urner;Rosalyn J Moran;Rosalyn J Moran;Guillaume Flandin

  • Modelling event-related skin conductance responses

    Dominik R. Bach;Guillaume Flandin;Karl J. Friston;Raymond J. Dolan

  • Analysis of family-wise error rates in statistical parametric mapping using random field theory.

    Guillaume Flandin;Karl J. Friston

  • Time-series analysis for rapid event-related skin conductance responses.

    Dominik R. Bach;Guillaume Flandin;Karl J. Friston;Raymond J. Dolan

  • Evaluation of 2D multiband EPI imaging for high-resolution, whole-brain, task-based fMRI studies at 3T: Sensitivity and slice leakage artifacts

    Nick Todd;Steen Moeller;Edward J. Auerbach;Essa Yacoub

  • Retinotopic organization of visual mental images as revealed by functional magnetic resonance imaging.

    Isabelle Klein;Jessica Dubois;Jean-François Mangin;Ferath Kherif

  • Automatized clustering and functional geometry of human parietofrontal networks for language, space, and number

    Olivier Simon;Ferath Kherif;Guillaume Flandin;Jean-Baptiste Poline

  • Statistical parametric mapping (SPM)

    Guillaume Flandin;Karl J. Friston

  • MEG-BIDS, the brain imaging data structure extended to magnetoencephalography

    Guiomar Niso;Guiomar Niso;Krzysztof J Gorgolewski;Elizabeth Bock;Teon L Brooks

  • Bayesian fMRI data analysis with sparse spatial basis function priors

    Guillaume Flandin;William D. Penny

  • A Parametric Empirical Bayesian framework for fMRI-constrained MEG/EEG source reconstruction

    Richard N. Henson;Guillaume Flandin;Karl J. Friston;Jérémie Mattout

  • Group analysis in functional neuroimaging: selecting subjects using similarity measures.

    Ferath Kherif;Jean-Baptiste Poline;Sébastien Mériaux;Habib Benali

  • Functional connectivity: studying nonlinear, delayed interactions between BOLD signals.

    Pierre-Jean Lahaye;Jean-Baptiste Poline;Guillaume Flandin;Silke Dodel

  • Functional optical signal analysis: a software tool for near-infrared spectroscopy data processing incorporating statistical parametric mapping

    Peck H. Koh;Daniel E. Glaser;Guillaume Flandin;Stefan Kiebel

  • Bayesian comparison of spatially regularised general linear models

    Will Penny;Guillaume Flandin;Nelson Trujillo-Barreto

  • Rewarding feedback after correct visual discriminations has both general and specific influences on visual cortex.

    Rimona Sharon Weil;Rimona Sharon Weil;Nicholas Furl;Christian C Ruff;Christian C Ruff;Christian C Ruff;Mkael Symmonds

Frequent Co-Authors

Karl J. Friston
Karl J. Friston University College London
Jean-Baptiste Poline
Jean-Baptiste Poline Montreal Neurological Institute and Hospital
Thomas E. Nichols
Thomas E. Nichols University of Oxford
Krzysztof J. Gorgolewski
Krzysztof J. Gorgolewski Stanford University
Adeel Razi
Adeel Razi Monash University
Jean Daunizeau
Jean Daunizeau Grenoble Alpes University
Vladimir Litvak
Vladimir Litvak University College London
Jessica A. Turner
Jessica A. Turner The Ohio State University
Tristan Glatard
Tristan Glatard Concordia University

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