Alexander Schaefer

Cognitive Neuroscience · 2017

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Alexander Schaefer trusts overall

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

  1. Stephen M. Smith
  2. Bruce Fischl
  3. Douglas N. Greve
  4. B. T. T. Yeo
  5. Randy L. Buckner
  6. Christian F. Beckmann
  7. Yongyue Zhang
  8. Xi-Nian Zuo
  9. X. Shen
  10. Evan M. Gordon

Who trusts Alexander Schaefer overall

  1. G. Soleimani
  2. Christian Gaser
  3. Julia Ericson
  4. Rayus Kupliki

Papers from Alexander Schaefer's perspective

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

  1. Complex brain networks: graph theoretical analysis of structural and functional systems
  2. Consistent resting-state networks across healthy subjects (Proceedings of the National Academy of Sciences of the United States of America)
  3. Accurate and Robust Brain Image Alignment using Boundary-based Registration (NeuroImage)
  4. Neurophysiological architecture of functional magnetic resonance images of human brain. (Cerebral Cortex)
  5. Predicting human resting-state functional connectivity from structural connectivity (Proceedings of the National Academy of Sciences of the United States of America)
  6. Advances in functional and structural MR image analysis and implementation as FSL.
  7. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm (IEEE Transactions on Medical Imaging)
  8. A positive-negative mode of population covariation links brain connectivity, demographics and behavior (Nature Neuroscience)
  9. Investigations into resting-state connectivity using independent component analysis (Philosophical Transactions of the Royal Society B: Biological Sciences)
  10. Brain Connectivity Related to Working Memory Performance (Journal of Neuroscience)

Their papers