J. Dubois

Cognitive Neuroscience · Journal of Neuroscience · 2009–2018

A researcher in the Science corpus: 3 papers; trusts 50 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 128 citations into it; #4,987 of 10,852 by trust here, #4,095 by citations
• Radiology, Nuclear Medicine and Imaging — 58 citations into it
• Experimental and Cognitive Psychology — 38 citations into it
• Cellular and Molecular Neuroscience — 11 citations into it
• Statistics and Probability — 10 citations into it
• Management Science and Operations Research — 6 citations into it
• Sociology and Political Science — 6 citations into it
• Pediatrics, Perinatology and Child Health — 5 citations into it

Whom J. Dubois trusts overall

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

1. Christian F. Beckmann
2. Stephen M. Smith
3. Jonathan D. Power
4. Roger D. Peng
5. C. Drummond
6. Graham Murdock
7. J. Grice
8. Matthew F. Glasser
9. Felix D. Schönbrodt
10. Gilles E. Gignac

Who trusts J. Dubois overall

1. Pascal Fries
2. John E. Lisman
3. Ole Jensen

Papers from J. Dubois's perspective

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

1. Correspondence of the brain's functional architecture during activation and rest
2. Controlling the false discovery rate: a practical and powerful approach to multiple testing
3. Probabilistic independent component analysis for functional magnetic resonance imaging (IEEE Transactions on Medical Imaging)
4. Impact of In-Scanner Head Motion on Multiple Measures of Functional Connectivity: Relevance for Studies of Neurodevelopment in Youth (NeuroImage)
5. 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)
6. Consistent resting-state networks across healthy subjects (Proceedings of the National Academy of Sciences of the United States of America)
7. A positive-negative mode of population covariation links brain connectivity, demographics and behavior (Nature Neuroscience)
8. Intrinsic functional connectivity as a tool for human connectomics: theory, properties, and optimization. (Journal of Neurophysiology)
9. Automatic Denoising of Functional MRI Data: Combining Independent Component Analysis and Hierarchical Fusion of Classifiers
10. Investigations into resting-state connectivity using independent component analysis (Philosophical Transactions of the Royal Society B: Biological Sciences)

Their papers

• A distributed brain network predicts general intelligence from resting-state human neuroimaging data (2018) — 305 citations
• Building a Science of Individual Differences from fMRI. (2016) — 614 citations
• The Phase of Ongoing EEG Oscillations Predicts Visual Perception (2009) — 1,160 citations