Marcus Kaiser

Cognitive Neuroscience · 2004–2009

A researcher in the Science corpus: 3 papers; trusts 32 researchers and is trusted by 55 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 36 citations into it; #465 of 10,852 by trust here, #903 by citations
• Statistical and Nonlinear Physics — 15 citations into it
• Cellular and Molecular Neuroscience — 13 citations into it
• Molecular Biology — 10 citations into it; #1,839 of 17,773 by trust here, #4,586 by citations
• Artificial Intelligence — 7 citations into it
• Algorithms & Complexity — 6 citations into it
• Computer Networks and Communications — 6 citations into it
• Electrical and Electronic Engineering — 6 citations into it

Whom Marcus Kaiser trusts overall

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

1. Olaf Sporns
2. Mark Newman
3. John M. Beggs
4. Christopher J. Honey
5. C. Haldeman
6. Osame Kinouchi
7. Mark D. Humphries
8. Duncan J. Watts
9. Rolf Kötter
10. E. Ravasz

Who trusts Marcus Kaiser overall

1. D. Bassett
2. Olaf Sporns
3. E. Bullmore
4. Martijn P. van den Heuvel
5. Cornelis J. Stam
6. Xiao-Jing Wang
7. Jaap C. Reijneveld
8. Simon B. Eickhoff
9. Kerstin Konrad
10. Alex Fornito

Papers from Marcus Kaiser's perspective

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

1. Collective dynamics of ‘small-world’ networks
2. Exploring complex networks (Nature)
3. Neuronal Avalanches in Neocortical Circuits (Journal of Neuroscience)
4. Emergence of Scaling in Random Networks
5. Anatomical connectivity defines the organization of clusters of cortical areas in the macaque monkey and the cat. (Philosophical transactions of the Royal Society of London. Series B, Biological sciences)
6. Theoretical neuroanatomy: relating anatomical and functional connectivity in graphs and cortical connection matrices. (Cerebral Cortex)
7. Organization, development and function of complex brain networks.
8. Network structure of cerebral cortex shapes functional connectivity on multiple time scales
9. The brainstem reticular formation is a small-world, not scale-free, network (Proceedings of the Royal Society of London. Biological Sciences)
10. Motifs in Brain Networks

Their papers

• Organization, development and function of complex brain networks. (2004) — 2,061 citations
• Optimal Hierarchical Modular Topologies for Producing Limited Sustained Activation of Neural Networks (2009) — 334 citations
• Nonoptimal Component Placement, but Short Processing Paths, due to Long-Distance Projections in Neural Systems (2006) — 670 citations