D. Van de Ville

Cognitive Neuroscience · 2003–2019

A researcher in the Science corpus: 12 papers; trusts 61 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom D. Van de Ville trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Stéphane Mallat
  2. Karl J. Friston
  3. Olaf Sporns
  4. Stéphane Jaffard
  5. E. Bullmore
  6. Micah M. Murray
  7. Robert Tibshirani
  8. C. Lewis
  9. Catie Chang
  10. Jessica S. Damoiseaux

Who trusts D. Van de Ville overall

  1. Arvid Lundervold
  2. C. Michel
  3. Enrique C. A. Hansen
  4. Elena A. Allen
  5. Diego Vidaurre
  6. Sadia Shakil
  7. Anna Custo
  8. Michael Breakspear
  9. Bin Yang
  10. Stephen M. Smith

Papers from D. Van de Ville's perspective

Ordered by how strongly the researchers D. Van de Ville trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Mapping the Structural Core of Human Cerebral Cortex (PLoS Biology)
  2. Consistent resting-state networks across healthy subjects (Proceedings of the National Academy of Sciences of the United States of America)
  3. Complex brain networks: graph theoretical analysis of structural and functional systems
  4. Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging (Nature Reviews Neuroscience)
  5. The Human Connectome: A Structural Description of the Human Brain
  6. Medial prefrontal cortex and self-referential mental activity: Relation to a default mode of brain function (Proceedings of the National Academy of Sciences of the United States of America)
  7. Correspondence of the brain's functional architecture during activation and rest
  8. Intrinsic functional architecture in the anaesthetized monkey brain (Nature)
  9. Electrophysiological signatures of resting state networks in the human brain (Proceedings of the National Academy of Sciences of the United States of America)
  10. Controlling the false discovery rate: a practical and powerful approach to multiple testing

Their papers