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 59 Citations 19,011 223 World Ranking 2340 National Ranking 1106

Overview

What is he best known for?

The fields of study he is best known for:

  • Neuroscience
  • Artificial intelligence
  • Perception

David A. Leopold mainly investigates Neuroscience, Visual cortex, Resting state fMRI, Perception and Visual perception. His study in Neuroscience focuses on Macaque, Stimulus, Psychophysics, Connectome and Cerebral cortex. David A. Leopold interconnects Binocular rivalry and Local field potential in the investigation of issues within Visual cortex.

His research integrates issues of Audiology, Brain activity and meditation and Brain mapping in his study of Resting state fMRI. His research in Brain activity and meditation tackles topics such as Nerve net which are related to areas like Cognitive science. His Visual perception research focuses on Functional magnetic resonance imaging and how it relates to Functional imaging.

His most cited work include:

  • Dynamic functional connectivity: Promise, issues, and interpretations (1550 citations)
  • Activity-Changes in Early Visual Cortex Reflect Monkeys' Percepts During Binocular Rivalry. (759 citations)
  • Multistable phenomena: changing views in perception (727 citations)

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

His primary areas of study are Neuroscience, Macaque, Visual cortex, Perception and Visual perception. His work in Stimulus, Electrophysiology, Sensory system, Local field potential and Brain mapping are all subfields of Neuroscience research. His Stimulus research is multidisciplinary, relying on both Surround suppression and Communication.

His Macaque study incorporates themes from Face perception, Superior colliculus, Primate, Superior temporal sulcus and Artificial intelligence. His Visual cortex study integrates concerns from other disciplines, such as Occipital lobe, Resting state fMRI, Photic Stimulation and Premovement neuronal activity. In Perception, David A. Leopold works on issues like Cognitive psychology, which are connected to Multistable perception and Social cognition.

He most often published in these fields:

  • Neuroscience (60.87%)
  • Macaque (24.78%)
  • Visual cortex (23.48%)

What were the highlights of his more recent work (between 2017-2021)?

  • Neuroscience (60.87%)
  • Macaque (24.78%)
  • Neuroimaging (6.52%)

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

The scientist’s investigation covers issues in Neuroscience, Macaque, Neuroimaging, Visual cortex and Sensory system. His study in Temporal cortex, Stimulus, Cerebral cortex, Posterior parietal cortex and Brain activity and meditation falls under the purview of Neuroscience. The various areas that he examines in his Macaque study include Neurophysiology, Superior colliculus, Visual processing, Primate and Superior temporal sulcus.

The study incorporates disciplines such as Connectome, Human brain and Human Connectome Project in addition to Neuroimaging. His work on Calcarine sulcus as part of his general Visual cortex study is frequently connected to Limbic system, thereby bridging the divide between different branches of science. His Sensory system study combines topics in areas such as Electrophysiology and Thalamus.

Between 2017 and 2021, his most popular works were:

  • Morphometric Similarity Networks Detect Microscale Cortical Organization and Predict Inter-Individual Cognitive Variation (128 citations)
  • Subcortical evidence for a contribution of arousal to fMRI studies of brain activity (98 citations)
  • The Basal Forebrain Regulates Global Resting-State fMRI Fluctuations (97 citations)

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

Dynamic functional connectivity: Promise, issues, and interpretations

R. Matthew Hutchison;Thilo Womelsdorf;Elena A. Allen;Elena A. Allen;Peter A. Bandettini.
NeuroImage (2013)

2205 Citations

Multistable phenomena: changing views in perception

David A. Leopold;Nikos K. Logothetis.
Trends in Cognitive Sciences (1999)

1140 Citations

Activity-Changes in Early Visual Cortex Reflect Monkeys' Percepts During Binocular Rivalry.

David A. Leopold;Nikos K. Logothetis.
Nature (1996)

1117 Citations

Prototype-referenced shape encoding revealed by high-level aftereffects

David A. Leopold;Alice J. O'Toole;Thomas Vetter;Volker Blanz.
Nature Neuroscience (2001)

978 Citations

Neural basis of global resting-state fMRI activity

Marieke L. Schölvinck;Alexander Maier;Frank Q. Ye;Jeff H. Duyn.
Proceedings of the National Academy of Sciences of the United States of America (2010)

869 Citations

What is rivalling during binocular rivalry

Nikos K. Logothetis;David A. Leopold;David L. Sheinberg.
Nature (1996)

737 Citations

Very Slow Activity Fluctuations in Monkey Visual Cortex: Implications for Functional Brain Imaging

David A. Leopold;Yusuke Murayama;Nikos K. Logothetis.
Cerebral Cortex (2003)

705 Citations

Anatomical accuracy of brain connections derived from diffusion MRI tractography is inherently limited

Cibu Thomas;Cibu Thomas;Frank Q. Ye;M. Okan Irfanoglu;Pooja Modi.
Proceedings of the National Academy of Sciences of the United States of America (2014)

650 Citations

Neuronal correlates of spontaneous fluctuations in fMRI signals in monkey visual cortex: Implications for functional connectivity at rest

Amir Shmuel;David A. Leopold.
Human Brain Mapping (2008)

615 Citations

Stable perception of visually ambiguous patterns

David A. Leopold;Melanie Wilke;Alexander Maier;Nikos K. Logothetis.
Nature Neuroscience (2002)

465 Citations

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