Ruben C. Gur

Cognitive Neuroscience · 2001–2022

A researcher in the Science corpus: 30 papers; trusts 24 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Ruben C. Gur trusts overall

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

  1. Deborah A. Yurgelun-Todd
  2. Christos Davatzikos
  3. Rex E. Jung
  4. Allan Paivio
  5. Leo Breiman
  6. Stephen M. Smith
  7. Alain Rakotomamonjy
  8. John Ashburner
  9. Karl J. Friston
  10. Mark Jenkinson

Who trusts Ruben C. Gur overall

  1. J. Dubois
  2. Manuel G. Calvo
  3. Monica E. Calkins
  4. Yong Fan
  5. Christos Davatzikos
  6. Theodore D. Satterthwaite
  7. Nematollah Kayhan Batmanghelich
  8. Jonathan D. Power
  9. Paola Galdi
  10. H. Marrero

Papers from Ruben C. Gur's perspective

Ordered by how strongly the researchers Ruben C. Gur trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Voxel-based morphometry--the methods.
  2. 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)
  3. Controlling the false discovery rate: a practical and powerful approach to multiple testing
  4. Consistent resting-state networks across healthy subjects (Proceedings of the National Academy of Sciences of the United States of America)
  5. The global signal and observed anticorrelated resting state brain networks. (Journal of Neurophysiology)
  6. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest (NeuroImage)
  7. Intrinsic functional connectivity as a tool for human connectomics: theory, properties, and optimization. (Journal of Neurophysiology)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Statistical parametric maps in functional imaging: A general linear approach
  10. Complex brain networks: graph theoretical analysis of structural and functional systems

Their papers