D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Neuroscience D-index 56 Citations 15,278 179 World Ranking 2677 National Ranking 235

Overview

What is he best known for?

The fields of study he is best known for:

  • Neuroscience
  • Artificial intelligence
  • Neuron

His scientific interests lie mostly in Neuroscience, Artificial intelligence, Artificial neural network, Scale-free network and Biological system. His research in Prefrontal cortex, Primate cerebral cortex, Nerve net, Macaque and Cerebral cortex are components of Neuroscience. His Nerve net study integrates concerns from other disciplines, such as Inhibitory postsynaptic potential, Information processing, Consumer neuroscience, Cingulate Areas and Amygdala.

His Artificial neural network study combines topics in areas such as Network topology and Modular design. As part of one scientific family, Claus C. Hilgetag deals mainly with the area of Scale-free network, narrowing it down to issues related to the Degree distribution, and often Topology. Claus C. Hilgetag combines subjects such as Brain activity and meditation and Communication with his study of Biological system.

His most cited work include:

  • Organization, development and function of complex brain networks (1622 citations)
  • Sequence of information processing for emotions based on the anatomic dialogue between prefrontal cortex and amygdala (637 citations)
  • Sequence of information processing for emotions based on the anatomic dialogue between prefrontal cortex and amygdala (637 citations)

What are the main themes of his work throughout his whole career to date?

Neuroscience, Artificial intelligence, Artificial neural network, Cerebral cortex and Connectome are his primary areas of study. Cortex, Posterior parietal cortex, Visual cortex, Macaque and Human brain are the core of his Neuroscience study. The concepts of his Cortex study are interwoven with issues in Prefrontal cortex, Neuroimaging, Laminar flow and Primate.

Claus C. Hilgetag has researched Artificial intelligence in several fields, including Shapley value, Machine learning, Brain function and Pattern recognition. His study looks at the intersection of Artificial neural network and topics like Topology with Scale-free network and Computational neuroscience. His Cerebral cortex research is multidisciplinary, incorporating elements of Laminar organization, Cytoarchitecture, Anatomy and Projection.

He most often published in these fields:

  • Neuroscience (81.44%)
  • Artificial intelligence (31.62%)
  • Artificial neural network (26.12%)

What were the highlights of his more recent work (between 2018-2021)?

  • Neuroscience (81.44%)
  • Connectome (24.05%)
  • Cortex (21.65%)

In recent papers he was focusing on the following fields of study:

Claus C. Hilgetag mostly deals with Neuroscience, Connectome, Cortex, Cerebral cortex and Visual cortex. His work deals with themes such as Type, Diffusion Tractography and Diffusion MRI, which intersect with Neuroscience. His Connectome study deals with Network topology intersecting with Human Connectomes, Homophily and Topology.

His Cortex research incorporates themes from Mammalian brain, Neuroimaging, Laminar flow and Macaque. His studies in Cerebral cortex integrate themes in fields like Brain activity and meditation, Computational model and Laminar organization. The various areas that he examines in his Visual cortex study include Posterior parietal cortex and Pattern recognition.

Between 2018 and 2021, his most popular works were:

  • A blueprint of mammalian cortical connectomes. (36 citations)
  • A blueprint of mammalian cortical connectomes. (36 citations)
  • ‘Hierarchy’ in the organization of brain networks (29 citations)

In his most recent research, the most cited papers focused on:

  • Neuroscience
  • Artificial intelligence
  • Neuron

His primary scientific interests are in Neuroscience, Connectome, Connectomics, Visual cortex and Posterior parietal cortex. The study incorporates disciplines such as Topology and Type in addition to Neuroscience. The Connectome study combines topics in areas such as Cerebral cortex, Network topology, Homophily and Cortex.

His studies deal with areas such as Mammalian brain, DUAL and Duality as well as Cerebral cortex. His Visual cortex research includes elements of Corpus callosum, Mustela putorius and Thalamus. His Thalamus research is multidisciplinary, incorporating perspectives in Prefrontal cortex and Auditory cortex.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Organization, development and function of complex brain networks

Olaf Sporns;Dante R. Chialvo;Marcus Kaiser;Claus C. Hilgetag.
Trends in Cognitive Sciences (2004)

2389 Citations

Sequence of information processing for emotions based on the anatomic dialogue between prefrontal cortex and amygdala

H. T. Ghashghaei;Claus C. Hilgetag;Claus C. Hilgetag;Helen Barbas;Helen Barbas.
NeuroImage (2007)

883 Citations

The challenge of mapping the human connectome based on diffusion tractography

Klaus H. Maier-Hein;Peter F. Neher;Jean-Christophe Houde;Marc-Alexandre Cote.
Nature Communications (2017)

797 Citations

Enhanced visual spatial attention ipsilateral to rTMS-induced 'virtual lesions' of human parietal cortex.

Claus C. Hilgetag;Claus C. Hilgetag;Hugo Théoret;Alvaro Pascual-Leone.
Nature Neuroscience (2001)

664 Citations

Anatomical connectivity defines the organization of clusters of cortical areas in the macaque monkey and the cat.

Claus–C. Hilgetag;Gully A. P. C. Burns;Marc A. O'Neill;Jack W. Scannell.
Philosophical Transactions of the Royal Society B (2000)

635 Citations

Nonoptimal Component Placement, but Short Processing Paths, due to Long-Distance Projections in Neural Systems

Marcus Kaiser;Claus C. Hilgetag;Claus C. Hilgetag.
PLOS Computational Biology (2005)

622 Citations

Hierarchical organization unveiled by functional connectivity in complex brain networks.

Changsong Zhou;Lucia Zemanová;Gorka Zamora;Claus C. Hilgetag.
Physical Review Letters (2006)

551 Citations

The Connectional Organization of the Cortico-thalamic System of the Cat

J.W. Scannell;G.A.P.C. Burns;C.C. Hilgetag;M.A. O'Neil.
Cerebral Cortex (1999)

487 Citations

Intrinsic Coupling Modes: Multiscale Interactions in Ongoing Brain Activity

Andreas K. Engel;Christian Gerloff;Claus C. Hilgetag;Claus C. Hilgetag;Guido Nolte.
Neuron (2013)

398 Citations

Computational analysis of functional connectivity between areas of primate cerebral cortex.

Klaas E. Stephan;Claus–C. Hilgetag;Gully A. P. C. Burns;Marc A. O'Neill.
Philosophical Transactions of the Royal Society B (2000)

313 Citations

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