D-Index & Metrics Best Publications

D-Index & Metrics

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 119 Citations 62,889 299 World Ranking 136 National Ranking 85

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Neuroscience
  • Artificial intelligence

His main research concerns Neuroscience, Cognitive psychology, Functional magnetic resonance imaging, Cognition and Prefrontal cortex. His works in Basal ganglia, Neuroimaging, Brain mapping, Human brain and Temporal lobe are all subjects of inquiry into Neuroscience. His work in the fields of Functional neuroimaging overlaps with other areas such as Best practice.

His Cognitive psychology research is multidisciplinary, incorporating elements of Developmental psychology, Episodic memory, Neural correlates of consciousness, Hippocampus and Semantic memory. His research in Functional magnetic resonance imaging intersects with topics in Sensory input and Left prefrontal cortex. His Cognition research includes themes of Genetics, Genetic correlation, Artificial intelligence and Set.

His most cited work include:

  • Inhibition and the right inferior frontal cortex. (2389 citations)
  • Large-scale automated synthesis of human functional neuroimaging data (1851 citations)
  • Can cognitive processes be inferred from neuroimaging data (1432 citations)

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

His primary areas of investigation include Neuroscience, Cognition, Cognitive psychology, Neuroimaging and Functional magnetic resonance imaging. His research in Prefrontal cortex, Human brain, Temporal lobe, Basal ganglia and Posterior parietal cortex are components of Neuroscience. His studies in Cognition integrate themes in fields like Developmental psychology, Cognitive science, Brain mapping and Set.

The concepts of his Cognitive psychology study are interwoven with issues in Social psychology, Perception, Ventral striatum, Neural correlates of consciousness and Semantic memory. His Neuroimaging study integrates concerns from other disciplines, such as Data science, Field and Inference, Artificial intelligence. His Functional magnetic resonance imaging research incorporates elements of Audiology and Pattern recognition.

He most often published in these fields:

  • Neuroscience (30.85%)
  • Cognition (28.09%)
  • Cognitive psychology (25.74%)

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

  • Neuroimaging (25.11%)
  • Cognition (28.09%)
  • Cognitive psychology (25.74%)

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

His primary areas of study are Neuroimaging, Cognition, Cognitive psychology, Artificial intelligence and Neuroscience. His Neuroimaging research is multidisciplinary, relying on both Statistical hypothesis testing, Field, Functional magnetic resonance imaging, Neural correlates of consciousness and Data science. His work on Elementary cognitive task as part of general Cognition study is frequently linked to Function, therefore connecting diverse disciplines of science.

The Cognitive psychology study which covers Cognitive development that intersects with Data collection and Brain development. His work carried out in the field of Artificial intelligence brings together such families of science as Machine learning and Pattern recognition. His work on Stimulation and Human brain as part of general Neuroscience study is frequently linked to Network topology, bridging the gap between disciplines.

Between 2018 and 2021, his most popular works were:

  • fMRIPrep: a robust preprocessing pipeline for functional MRI (439 citations)
  • A consensus guide to capturing the ability to inhibit actions and impulsive behaviors in the stop-signal task (270 citations)
  • Variability in the analysis of a single neuroimaging dataset by many teams (147 citations)

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

  • Statistics
  • Artificial intelligence
  • Cognition

Russell A. Poldrack mainly focuses on Neuroimaging, Cognition, Neuroscience, Functional magnetic resonance imaging and Cognitive psychology. His research integrates issues of Statistical hypothesis testing, Artificial intelligence, Neural correlates of consciousness, Machine learning and Data science in his study of Neuroimaging. His study looks at the relationship between Data science and topics such as Field, which overlap with Variation, Pipeline, Functional neuroimaging and Multidisciplinary approach.

His Cognition study combines topics in areas such as Genetics, Cognitive science and Clinical psychology. His Neuroscience study frequently links to related topics such as Set. Russell A. Poldrack has researched Cognitive psychology in several fields, including Predictive power, Construct, Datasets as Topic and Coherence.

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

Inhibition and the right inferior frontal cortex.

Adam R. Aron;Adam R. Aron;Trevor W. Robbins;Russell A. Poldrack.
Trends in Cognitive Sciences (2004)

3363 Citations

Can cognitive processes be inferred from neuroimaging data

Russell A. Poldrack.
Trends in Cognitive Sciences (2006)

2301 Citations

Large-scale automated synthesis of human functional neuroimaging data

Tal Yarkoni;Russell A Poldrack;Thomas E Nichols;David C Van Essen.
Nature Methods (2011)

2225 Citations

The Neural Basis of Loss Aversion in Decision-Making Under Risk

Sabrina M. Tom;Craig R. Fox;Christopher Trepel;Russell A. Poldrack.
Science (2007)

1880 Citations

Functional Specialization for Semantic and Phonological Processing in the Left Inferior Prefrontal Cortex

Russell A. Poldrack;Anthony D. Wagner;Matthew W. Prull;John E. Desmond.
NeuroImage (1999)

1718 Citations

Cortical and Subcortical Contributions to Stop Signal Response Inhibition:Role of the Subthalamic Nucleus

Adam R. Aron;Russell A. Poldrack.
The Journal of Neuroscience (2006)

1621 Citations

Inhibition and the right inferior frontal cortex: one decade on.

Adam R. Aron;Trevor W. Robbins;Russell A. Poldrack.
Trends in Cognitive Sciences (2014)

1497 Citations

Interactive memory systems in the human brain.

R. A. Poldrack;J. Clark;E. J. Paré-Blagoev;D. Shohamy.
Nature (2001)

1219 Citations

Neural deficits in children with dyslexia ameliorated by behavioral remediation: Evidence from functional MRI

Elise Temple;Gayle K. Deutsch;Russell A. Poldrack;Steven L. Miller.
Proceedings of the National Academy of Sciences of the United States of America (2003)

1160 Citations

Recovering Meaning: Left Prefrontal Cortex Guides Controlled Semantic Retrieval

Anthony D Wagner;Anthony D Wagner;E.Juliana Paré-Blagoev;Jill Clark;Russell A Poldrack.
Neuron (2001)

1031 Citations

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