Nicholas F. Wymbs

Cognitive Neuroscience · 2010–2014

A researcher in the Science corpus: 4 papers; trusts 17 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 104 citations into it; #2,978 of 10,852 by trust here, #1,411 by citations
• Statistical and Nonlinear Physics — 69 citations into it; #8,402 of 10,127 by trust here, #4,439 by citations
• Radiology, Nuclear Medicine and Imaging — 50 citations into it; #1,422 of 3,265 by trust here, #1,484 by citations
• Molecular Biology — 33 citations into it
• Experimental and Cognitive Psychology — 20 citations into it
• Computer Networks and Communications — 11 citations into it
• Artificial Intelligence — 10 citations into it; #25,854 of 35,345 by trust here, #9,760 by citations
• Computer Vision and Pattern Recognition — 9 citations into it

Whom Nicholas F. Wymbs trusts overall

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

1. Mark Newman
2. D. Bassett
3. E. Bullmore
4. Michael R. Chernick
5. Karl J. Friston
6. M. A. Porter
7. Olaf Sporns
8. Peter J. Mucha
9. Santo Fortunato
10. Mark William Woolrich

Who trusts Nicholas F. Wymbs overall

1. D. Bassett
2. Olaf Sporns
3. Richard F. Betzel
4. E. Bullmore
5. John D. Medaglia
6. Alex Fornito
7. Urs Braun
8. Petter Holme
9. Andrew Zalesky
10. Michael W. Cole

Papers from Nicholas F. Wymbs's perspective

Ordered by how strongly the researchers Nicholas F. Wymbs 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. Thresholding of Statistical Maps in Functional Neuroimaging Using the False Discovery Rate (NeuroImage)
3. Network modelling methods for FMRI
4. Whole-brain anatomical networks: Does the choice of nodes matter? (NeuroImage)
5. Functional cartography of complex metabolic networks (Nature)
6. Influence of cultivation temperature on the ligninolytic activity of selected fungal strains
7. Classes of complex networks defined by role-to-role connectivity profiles. (Nature Physics)
8. Human Brain Networks in Health and Disease (Current Opinion in Neurology)
9. Finding community structure in networks using the eigenvectors of matrices. (Physical review. E, Statistical, nonlinear, and soft matter physics)
10. Modular and Hierarchically Modular Organization of Brain Networks

Their papers

• Learning-induced autonomy of sensorimotor systems (2014) — 570 citations
• Robust Detection of Dynamic Community Structure in Networks (2012) — 481 citations
• Task-Based Core-Periphery Organization of Human Brain Dynamics (2012) — 362 citations
• Dynamic reconfiguration of human brain networks during learning (2010) — 1,682 citations