H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Engineering and Technology H-index 61 Citations 14,341 275 World Ranking 560 National Ranking 16
Neuroscience H-index 77 Citations 22,411 364 World Ranking 659 National Ranking 5


What is he best known for?

The fields of study he is best known for:

  • Neuroscience
  • Artificial intelligence
  • Quantum mechanics

Gustavo Deco mostly deals with Neuroscience, Artificial intelligence, Resting state fMRI, Functional magnetic resonance imaging and Attractor. His work in Neuroscience is not limited to one particular discipline; it also encompasses Computational model. His Artificial intelligence research incorporates elements of Machine learning and Pattern recognition.

His Resting state fMRI research includes themes of Diffusion MRI, Statistical physics, Neuroimaging, Brain activity and meditation and Brain mapping. His research in Functional magnetic resonance imaging intersects with topics in Cerebral cortex, Electrophysiology, Cognition and Human brain. His Attractor study incorporates themes from Biological neural network and Instability.

His most cited work include:

  • Emerging concepts for the dynamical organization of resting-state activity in the brain. (1150 citations)
  • The Dynamic Brain: From Spiking Neurons to Neural Masses and Cortical Fields (726 citations)
  • Key role of coupling, delay, and noise in resting brain fluctuations (536 citations)

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

Gustavo Deco mainly investigates Neuroscience, Artificial intelligence, Resting state fMRI, Artificial neural network and Cognition. His study in Neuroscience focuses on Stimulus, Brain activity and meditation, Functional magnetic resonance imaging, Perception and Connectome. He has included themes like Machine learning, Visual cortex, Computer vision and Pattern recognition in his Artificial intelligence study.

The Resting state fMRI study combines topics in areas such as Human brain, Neuroimaging and Default mode network, Functional connectivity. His Artificial neural network research is multidisciplinary, incorporating elements of Algorithm, Information theory and Unsupervised learning. His research investigates the connection between Cognition and topics such as Cognitive psychology that intersect with problems in Visual perception.

He most often published in these fields:

  • Neuroscience (48.62%)
  • Artificial intelligence (31.79%)
  • Resting state fMRI (19.01%)

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

  • Neuroscience (48.62%)
  • Neuroimaging (10.60%)
  • Resting state fMRI (19.01%)

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

Neuroscience, Neuroimaging, Resting state fMRI, Cognition and Functional magnetic resonance imaging are his primary areas of study. His study in Neuroscience concentrates on Brain activity and meditation, Stimulus, Human brain, Perception and Consciousness. The study incorporates disciplines such as Range, Artificial intelligence and Cognitive science in addition to Neuroimaging.

His studies in Artificial intelligence integrate themes in fields like Connectome, Machine learning and Electrophysiology. His Resting state fMRI research is multidisciplinary, relying on both Internal medicine and Functional connectivity, Human Connectome Project. His work on Socially distributed cognition, Neurocognitive and Orbitofrontal cortex as part of general Cognition study is frequently linked to Psychosis, bridging the gap between disciplines.

Between 2018 and 2021, his most popular works were:

  • Human consciousness is supported by dynamic complex patterns of brain signal coordination (121 citations)
  • Inversion of a large-scale circuit model reveals a cortical hierarchy in the dynamic resting human brain (85 citations)
  • Inversion of a large-scale circuit model reveals a cortical hierarchy in the dynamic resting human brain (85 citations)

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

  • Neuroscience
  • Quantum mechanics
  • Artificial intelligence

His main research concerns Neuroscience, Neuroimaging, Resting state fMRI, Functional magnetic resonance imaging and Cognition. Human brain, Amygdala, Connectome, Orbitofrontal cortex and Perception are the core of his Neuroscience study. Gustavo Deco combines subjects such as Independent component analysis, Artificial intelligence and Flexibility with his study of Human brain.

He has researched Neuroimaging in several fields, including Cognitive science and Brain state, Electroencephalography. His Resting state fMRI research incorporates themes from Coherence, Brain activity and meditation, Attractor and Human Connectome Project. In general Cognition study, his work on Default mode network and Cognitive flexibility often relates to the realm of Perspective, thereby connecting several areas of interest.

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.

Top Publications

Emerging concepts for the dynamical organization of resting-state activity in the brain.

Gustavo Deco;Viktor K. Jirsa;Viktor K. Jirsa;Anthony R. McIntosh.
Nature Reviews Neuroscience (2011)

1304 Citations

The Dynamic Brain: From Spiking Neurons to Neural Masses and Cortical Fields

Gustavo Deco;Viktor K. Jirsa;Peter A. Robinson;Michael Breakspear;Michael Breakspear.
PLOS Computational Biology (2008)

911 Citations

Computational Neuroscience of Vision

Edmund T. Rolls;Gustavo Deco.

688 Citations

Key role of coupling, delay, and noise in resting brain fluctuations

Gustavo Deco;Viktor Jirsa;A. R. McIntosh;Olaf Sporns.
Proceedings of the National Academy of Sciences of the United States of America (2009)

619 Citations

Ongoing Cortical Activity at Rest: Criticality, Multistability, and Ghost Attractors

Gustavo Deco;Viktor K. Jirsa.
The Journal of Neuroscience (2012)

526 Citations

An Information-Theoretic Approach to Neural Computing

Gustavo Deco;Dragan Obradovic.

407 Citations

Role of local network oscillations in resting-state functional connectivity

Joana Cabral;Etienne Hugues;Olaf Sporns;Gustavo Deco.
NeuroImage (2011)

392 Citations

Can sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI?

Rikkert Hindriks;Mohit H. Adhikari;Yusuke Murayama;Marco Ganzetti.
NeuroImage (2016)

391 Citations

A Neurodynamical cortical model of visual attention and invariant object recognition

Gustavo Deco;Edmund T. Rolls.
Vision Research (2004)

378 Citations

Resting-State Functional Connectivity Emerges from Structurally and Dynamically Shaped Slow Linear Fluctuations

Gustavo Deco;Adrián Ponce-Alvarez;Dante Mantini;Dante Mantini;Gian Luca Romani.
The Journal of Neuroscience (2013)

371 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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Top Scientists Citing Gustavo Deco

Edmund T. Rolls

Edmund T. Rolls

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Danielle S. Bassett

Danielle S. Bassett

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Georgia State University

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Indiana University

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