Jeremy D. Schmahmann

Cognitive Neuroscience · 2000–2019

A researcher in the Science corpus: 17 papers; trusts 40 researchers and is trusted by 54 researchers here, as inferred from the citation graph.

Subfields

Whom Jeremy D. Schmahmann trusts overall

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

  1. Catherine J. Stoodley
  2. Jörn Diedrichsen
  3. Leslie G. Ungerleider
  4. D. Riva
  5. Peter Strick
  6. Robert M. Kelly
  7. Marco Catani
  8. James S. Albus
  9. C. Giorgi
  10. Fenna M. Krienen

Who trusts Jeremy D. Schmahmann overall

  1. Xavier Guell
  2. Catherine J. Stoodley
  3. Jay N. Giedd
  4. John D. E. Gabrieli
  5. L. Koziol
  6. Olaf Sporns
  7. Michel Thiebaut de Schotten
  8. Heidi Johansen-Berg
  9. J. O’Reilly
  10. And U. Turken

Papers from Jeremy D. Schmahmann's perspective

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

  1. Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images (NeuroImage)
  2. Segregated Fronto-Cerebellar Circuits Revealed by Intrinsic Functional Connectivity (Cerebral Cortex)
  3. Characterization and propagation of uncertainty in diffusion‐weighted MR imaging (Magnetic Resonance in Medicine)
  4. Correspondence of the brain's functional architecture during activation and rest
  5. Probabilistic diffusion tractography with multiple fibre orientations: What can we gain? (NeuroImage)
  6. Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution (NeuroImage)
  7. Multiplexed Echo Planar Imaging for Sub-Second Whole Brain FMRI and Fast Diffusion Imaging (PLoS ONE)
  8. Control of mental activities by internal models in the cerebellum (Nature Reviews Neuroscience)
  9. Functional topography in the human cerebellum: A meta-analysis of neuroimaging studies (NeuroImage)
  10. Multiband Multislice GE-EPI at 7 Tesla, With 16-Fold Acceleration Using Partial Parallel Imaging With Application to High Spatial and Temporal Whole-Brain FMRI (Magnetic Resonance in Medicine)

Their papers