Georg Winterer

Cognitive Neuroscience · 2004–2010

A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Georg Winterer trusts overall

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

  1. Nikos K. Logothetis
  2. Daniel Durstewitz
  3. Christian F. Beckmann
  4. Patricia S. Goldman-Rakic
  5. Stephen M. Smith
  6. Jeremy K. Seamans
  7. Philip D. Harvey
  8. Daniel R. Weinberger
  9. Anissa Abi-Dargham
  10. Venkata S. Mattay

Who trusts Georg Winterer overall

  1. S. Lammel
  2. E. T. Rolls
  3. A. Hetzel
  4. Colin G. DeYoung
  5. D. Lewis
  6. Thérèse J. M. Overbeek
  7. Paul J. Harrison

Papers from Georg Winterer's perspective

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

  1. Effect of COMT Val108/158 Met genotype on frontal lobe function and risk for schizophrenia (Proceedings of the National Academy of Sciences of the United States of America)
  2. Physiological dysfunction of the dorsolateral prefrontal cortex in schizophrenia revisited. (Cerebral Cortex)
  3. Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images (NeuroImage)
  4. Temporal Autocorrelation in Univariate Linear Modeling of FMRI Data (NeuroImage)
  5. Neurophysiological investigation of the basis of the fMRI signal (Nature)
  6. Correlates of alpha rhythm in functional magnetic resonance imaging and near infrared spectroscopy (NeuroImage)
  7. Spontaneous low‐frequency BOLD signal fluctuations: An fMRI investigation of the resting‐state default mode of brain function hypothesis (Human Brain Mapping)
  8. fMRI resting state networks define distinct modes of long-distance interactions in the human brain (NeuroImage)
  9. Probabilistic independent component analysis for functional magnetic resonance imaging (IEEE Transactions on Medical Imaging)
  10. Consistent resting-state networks across healthy subjects (Proceedings of the National Academy of Sciences of the United States of America)

Their papers