World's Best Scientists 2026 revealed!
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Neuroscience
Netherlands
2026

D-Index & Metrics

Neuroscience

D-Index
115
Citations
57667
World Ranking
447
National Ranking
10

Medicine

D-Index
115
Citations
57609
World Ranking
4489
National Ranking
171

Research.com Recognitions

  • 2026 - Research.com Neuroscience in Netherlands Leader Award
  • 2025 - Research.com Neuroscience in Netherlands Leader Award
  • 2022 - Research.com Neuroscience in Netherlands Leader Award

Overview

Cornelis J. Stam is affiliated with Vrije Universiteit Amsterdam in the Netherlands. Their research primarily focuses on neuroscience and medicine, with a significant interest in cognitive neuroscience. Other subfields include radiology, nuclear medicine and imaging, neurology, psychiatry and mental health, as well as cellular and molecular neuroscience.

The main topics of their research cover functional brain connectivity studies, neural dynamics and brain function, and EEG and brain-computer interfaces. They also work on advanced neuroimaging techniques and applications, including MRI methods, and contribute to epilepsy research and treatment along with neuroscience and neuropharmacology research.

Their frequent co-authors include:

  • Arjan Hillebrand (71 publications)
  • Alida A. Gouw (33 publications)
  • Philip Scheltens (28 publications)
  • Linda Douw (25 publications)
  • Anne M van Nifterick (19 publications)

Scientific venues in which Cornelis J. Stam has published repeatedly include:

  • bioRxiv (Cold Spring Harbor Laboratory) with 15 publications
  • Alzheimer's & Dementia with 14 publications
  • Network Neuroscience with 10 publications
  • Scientific Reports with 9 publications
  • Alzheimer's Research & Therapy with 6 publications

Selected recent papers authored by or involving Cornelis J. Stam are:

  • "Reproducibility of EEG functional connectivity in Alzheimer's disease," 2020, Alzheimer's Research & Therapy
  • "A multiscale brain network model links Alzheimer's disease-mediated neuronal hyperactivity to large-scale oscillatory slowing," 2022, Alzheimer's Research & Therapy
  • "Resting-state oscillations reveal disturbed excitation-inhibition ratio in Alzheimer's disease patients," 2023, Scientific Reports
  • "Sensitive and reproducible MEG resting-state metrics of functional connectivity in Alzheimer's disease," 2022, Alzheimer's Research & Therapy
  • "Mapping functional brain networks from the structural connectome: Relating the series expansion and eigenmode approaches," 2020, NeuroImage

Best Publications

  • Consistent resting-state networks across healthy subjects

    J. S. Damoiseaux;S. A. R. B. Rombouts;F. Barkhof;P. Scheltens

  • Phase lag index: assessment of functional connectivity from multi channel EEG and MEG with diminished bias from common sources.

    Cornelis J. Stam;Guido Nolte;Andreas Daffertshofer

  • Nonlinear dynamical analysis of EEG and MEG: Review of an emerging field

    C.J. Stam

  • Small-world networks and functional connectivity in Alzheimer's disease

    CJ Stam;BF Jones;G Nolte;M Breakspear;M Breakspear

  • Reduced resting-state brain activity in the “default network” in normal aging

    J.S. Damoiseaux;C.F. Beckmann;E.J. Sanz Arigita;F. Barkhof

  • Modern network science of neurological disorders

    Cornelis J. Stam

  • Efficiency of Functional Brain Networks and Intellectual Performance

    Martijn P. van den Heuvel;Cornelis J. Stam;René S. Kahn;Hilleke E. Hulshoff Pol

  • Comparing brain networks of different size and connectivity density using graph theory

    Bernadette C. M. van Wijk;Cornelis J. Stam;Andreas Daffertshofer

  • Graph theoretical analysis of complex networks in the brain

    Cornelis J Stam;Jaap C Reijneveld

  • Graph theoretical analysis of magnetoencephalographic functional connectivity in Alzheimer's disease.

    C. J. Stam;W. de Haan;A. Daffertshofer;B. F. Jones

  • Altered resting state networks in mild cognitive impairment and mild Alzheimer's disease: an fMRI study

    Serge A R B Rombouts;Frederik Barkhof;Rutger Goekoop;Cornelis J Stam

  • Small-world and scale-free organization of voxel-based resting-state functional connectivity in the human brain

    M.P. van den Heuvel;C.J. Stam;M. Boersma;H.E. Hulshoff Pol

  • Synchronization likelihood: an unbiased measure of generalized synchronization in multivariate data sets

    C. J. Stam;B. W. van Dijk

  • Aberrant Frontal and Temporal Complex Network Structure in Schizophrenia: A Graph Theoretical Analysis

    Martijn P van den Heuvel;René C W Mandl;Cornelis J Stam;René S Kahn

  • Loss of 'small-world' networks in Alzheimer's disease: graph analysis of FMRI resting-state functional connectivity.

    Ernesto J. Sanz-Arigita;Menno M. Schoonheim;Jessica S. Damoiseaux;Serge A. R. B. Rombouts

  • The organization of physiological brain networks.

    C.J. Stam;E.C.W. van Straaten

  • Functional connectivity patterns of human magnetoencephalographic recordings: a 'small-world' network?

    C.J. Stam

  • The application of graph theoretical analysis to complex networks in the brain

    Jaap C. Reijneveld;Sophie C. Ponten;Henk W. Berendse;Cornelis J. Stam

  • Small-world networks and epilepsy: graph theoretical analysis of intracerebrally recorded mesial temporal lobe seizures.

    S.C. Ponten;F. Bartolomei;C.J. Stam

  • Small‐world properties of nonlinear brain activity in schizophrenia

    Mikail Rubinov;Stuart A. Knock;Cornelis J. Stam;Sifis Micheloyannis

Frequent Co-Authors

Philip Scheltens
Philip Scheltens Amsterdam UMC
Arjan Hillebrand
Arjan Hillebrand Vrije Universiteit Amsterdam
Linda Douw
Linda Douw Vrije Universiteit Amsterdam
Frederik Barkhof
Frederik Barkhof University College London
Wiesje M. van der Flier
Wiesje M. van der Flier Vrije Universiteit Amsterdam
Alida A. Gouw
Alida A. Gouw VU University Medical Center
Menno M. Schoonheim
Menno M. Schoonheim University of Amsterdam
Martin Klein
Martin Klein Vrije Universiteit Amsterdam
Prejaas Tewarie
Prejaas Tewarie University of Twente
Bob W. van Dijk
Bob W. van Dijk VU University Medical Center

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