John D. Medaglia
Cognitive Neuroscience · 2014–2019
A researcher in the Science corpus: 4 papers; trusts 23 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 119 citations into it; #8,993 of 10,852 by trust here, #4,170 by citations
- Radiology, Nuclear Medicine and Imaging — 54 citations into it
- Experimental and Cognitive Psychology — 30 citations into it; #8,552 of 9,731 by trust here, #4,180 by citations
- Statistical and Nonlinear Physics — 29 citations into it
- Molecular Biology — 12 citations into it
- Artificial Intelligence — 11 citations into it
- Neurology — 7 citations into it
- Algorithms & Complexity — 5 citations into it
Whom John D. Medaglia trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- D. Bassett
- Olaf Sporns
- E. Bullmore
- Mark Newman
- K. Barlow
- Santo Fortunato
- Andrea Lancichinetti
- Yong He
- Martijn P. van den Heuvel
- Vito Latora
Who trusts John D. Medaglia overall
Papers from John D. Medaglia's perspective
Ordered by how strongly the researchers John D. Medaglia trusts endorse each paper. Same corpus, a different order for every researcher.
- Complex brain networks: graph theoretical analysis of structural and functional systems
- Mapping the Structural Core of Human Cerebral Cortex (PLoS Biology)
- Collective dynamics of ‘small-world’ networks
- Efficient behavior of small-world networks. (Physical Review Letters)
- Network modelling methods for FMRI
- Adaptive reconfiguration of fractal small-world human brain functional networks (Proceedings of the National Academy of Sciences of the United States of America)
- Neurophysiological architecture of functional magnetic resonance images of human brain. (Cerebral Cortex)
- Hierarchical Organization of Human Cortical Networks in Health and Schizophrenia (Journal of Neuroscience)
- Efficiency and Cost of Economical Brain Functional Networks (PLoS Comput. Biol.)
- Consistent resting-state networks across healthy subjects (Proceedings of the National Academy of Sciences of the United States of America)
Their papers
- Lack of group-to-individual generalizability is a threat to human subjects research (2018) — 852 citations
- Structural, geometric and genetic factors predict interregional brain connectivity patterns probed by electrocorticography (2019)
- Cognitive Network Neuroscience (2015) — 384 citations
- Controllability of structural brain networks (2014) — 860 citations