Richard F. Betzel

Cognitive Neuroscience · 2014–2020

A researcher in the Science corpus: 10 papers; trusts 152 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 367 citations into it; #2,802 of 10,852 by trust here, #2,376 by citations
• Radiology, Nuclear Medicine and Imaging — 194 citations into it; #2,725 of 3,265 by trust here, #2,536 by citations
• Statistical and Nonlinear Physics — 103 citations into it
• Molecular Biology — 55 citations into it
• Experimental and Cognitive Psychology — 52 citations into it
• Cellular and Molecular Neuroscience — 29 citations into it; #859 of 2,998 by trust here, #1,427 by citations
• Computational Theory and Mathematics — 24 citations into it
• Computer Networks and Communications — 20 citations into it

Whom Richard F. Betzel trusts overall

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

1. Olaf Sporns
2. E. Bullmore
3. Mark Newman
4. D. Bassett
5. Mikail Rubinov
6. Santo Fortunato
7. Martijn P. van den Heuvel
8. Andrea Lancichinetti
9. Stephen P. Borgatti
10. J. Reichardt

Who trusts Richard F. Betzel overall

1. D. Bassett
2. Olaf Sporns
3. Andrea Avena-Koenigsberger
4. E. Bullmore
5. Bratislav Misic
6. Ann E. Sizemore
7. Christopher W. Lynn
8. James M. Shine
9. Jessica S. Damoiseaux
10. Yu A. Malkov

Papers from Richard F. Betzel's perspective

Ordered by how strongly the researchers Richard F. Betzel 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. Mapping the Structural Core of Human Cerebral Cortex (PLoS Biology)
3. The Human Connectome: A Structural Description of the Human Brain
4. Consistent resting-state networks across healthy subjects (Proceedings of the National Academy of Sciences of the United States of America)
5. Modularity and community structure in networks.
6. Network structure of cerebral cortex shapes functional connectivity on multiple time scales
7. Collective dynamics of ‘small-world’ networks
8. Efficient behavior of small-world networks. (Physical Review Letters)
9. Fast unfolding of communities in large networks
10. Specificity and Stability in Topology of Protein Networks (Science)

Their papers

• Cliques and cavities in the human connectome (2016) — 349 citations
• Linking Structure and Function in Macroscale Brain Networks. (2020) — 710 citations
• Questions and controversies in the study of time-varying functional connectivity in resting fMRI (2020) — 569 citations
• Structural, geometric and genetic factors predict interregional brain connectivity patterns probed by electrocorticography (2019)
• Multi-scale brain networks (2016) — 560 citations
• Network-Level Structure-Function Relationships in Human Neocortex (2016) — 295 citations
• Closures and Cavities in the Human Connectome (2016)
• Generative models of the human connectome (2015) — 298 citations
• Modular Brain Networks (2015) — 1,278 citations
• Changes in structural and functional connectivity among resting-state networks across the human lifespan (2014) — 808 citations