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
Psychology D-index 45 Citations 10,147 170 World Ranking 4618 National Ranking 2646
Neuroscience D-index 45 Citations 10,147 168 World Ranking 3892 National Ranking 1771

Overview

What is she best known for?

The fields of study she is best known for:

  • Cognition
  • Neuroscience
  • Artificial intelligence

Catherine E. Myers mainly investigates Neuroscience, Cognition, Hippocampal formation, Cognitive psychology and Basal ganglia. Her Neuroscience research is multidisciplinary, incorporating elements of Classical conditioning and Parkinson's disease. Her work deals with themes such as Concept learning, Neuroimaging, Disease and Reinforcement learning, which intersect with Cognition.

The study incorporates disciplines such as Latent inhibition, Stimulus, Sensory preconditioning, Associative learning and Cognitive disorder in addition to Hippocampal formation. Catherine E. Myers combines subjects such as Central nucleus of the amygdala, Fear conditioning and Childhood memory with her study of Cognitive psychology. The concepts of her Basal ganglia study are interwoven with issues in Working memory, Psychosis, Categorization, California Verbal Learning Test and Generalization.

Her most cited work include:

  • Interactive memory systems in the human brain. (890 citations)
  • Hippocampal mediation of stimulus representation: A computational theory (406 citations)
  • A novelty detection approach to classification (313 citations)

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

Her primary areas of investigation include Neuroscience, Cognition, Developmental psychology, Associative learning and Hippocampal formation. Her Neuroscience research is multidisciplinary, relying on both Classical conditioning and Parkinson's disease. In her work, Categorization and Probabilistic logic is strongly intertwined with Cognitive psychology, which is a subfield of Cognition.

Her Developmental psychology study combines topics from a wide range of disciplines, such as Addiction, Association, Audiology and Anxiety. Within one scientific family, Catherine E. Myers focuses on topics pertaining to Generalization under Associative learning, and may sometimes address concerns connected to Equivalence. Her Hippocampal formation study integrates concerns from other disciplines, such as Nerve net and Amnesia.

She most often published in these fields:

  • Neuroscience (56.70%)
  • Cognition (33.04%)
  • Developmental psychology (37.05%)

What were the highlights of her more recent work (between 2014-2021)?

  • Anxiety (26.79%)
  • Clinical psychology (25.00%)
  • Developmental psychology (37.05%)

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

Catherine E. Myers mainly focuses on Anxiety, Clinical psychology, Developmental psychology, Cognition and Punishment. Her Anxiety study incorporates themes from Post-traumatic stress disorder, Associative learning and Personality Assessment Inventory. Her work deals with themes such as Psychiatry, Temperament, Harm avoidance, Personality and Extinction, which intersect with Clinical psychology.

Her Developmental psychology research includes elements of Affect, Addiction, Methadone maintenance and Audiology. Cognition is a subfield of Neuroscience that she studies. Neuroscience is closely attributed to Reinforcement learning in her research.

Between 2014 and 2021, her most popular works were:

  • Probabilistic reward- and punishment-based learning in opioid addiction: Experimental and computational data. (27 citations)
  • Probabilistic reward- and punishment-based learning in opioid addiction: Experimental and computational data. (27 citations)
  • Corruption of the dentate gyrus by "dominant" granule cells: Implications for dentate gyrus function in health and disease. (21 citations)

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

  • Cognition
  • Neuroscience
  • Artificial intelligence

Her scientific interests lie mostly in Developmental psychology, Addiction, Anxiety, Punishment and Cognition. Catherine E. Myers interconnects Social psychology, Personality, Traumatic stress, Generalization and Cognitive bias in the investigation of issues within Developmental psychology. Her Anxiety research includes themes of Associative learning, Personality Assessment Inventory and Analysis of variance.

Her Associative learning study which covers Eyeblink conditioning that intersects with Extinction. The various areas that Catherine E. Myers examines in her Punishment study include Expectancy theory, Habit and Meaning. Her Cognitive therapy study, which is part of a larger body of work in Cognition, is frequently linked to Sensitivity, bridging the gap between disciplines.

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

Interactive memory systems in the human brain.

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

1280 Citations

Hippocampal mediation of stimulus representation: A computational theory

Mark A. Gluck;Catherine E. Myers.
Hippocampus (1993)

561 Citations

A novelty detection approach to classification

Nathalie Japkowicz;Catherine Myers;Mark Gluck.
international joint conference on artificial intelligence (1995)

521 Citations

Cortico‐striatal contributions to feedback‐based learning: converging data from neuroimaging and neuropsychology

Daphna Shohamy;C. E. Myers;S. Grossman;J. Sage.
Brain (2004)

405 Citations

Reward-learning and the novelty-seeking personality: a between- and within-subjects study of the effects of dopamine agonists on young Parkinson's patients

Nikoletta Bodi;Szabolcs Keri;Helga Gabriella Nagy;Ahmed A Moustafa.
Brain (2009)

369 Citations

Human midbrain sensitivity to cognitive feedback and uncertainty during classification learning.

Adam R. Aron;Daphna Shohamy;Jill Clark;Catherine Myers.
Journal of Neurophysiology (2004)

343 Citations

How do people solve the "weather prediction" task?: individual variability in strategies for probabilistic category learning.

Mark A. Gluck;Daphna Shohamy;Catherine Myers.
Learning & Memory (2002)

312 Citations

Dopaminergic Drugs Modulate Learning Rates and Perseveration in Parkinson’s Patients in a Dynamic Foraging Task

Robb B. Rutledge;Stephanie C. Lazzaro;Brian Lau;Catherine E. Myers.
The Journal of Neuroscience (2009)

278 Citations

Basal ganglia and dopamine contributions to probabilistic category learning

D. Shohamy;C.E. Myers;J. Kalanithi;M.A. Gluck.
Neuroscience & Biobehavioral Reviews (2008)

255 Citations

Dissociating Hippocampal versus Basal Ganglia Contributions to Learning and Transfer

Catherine E. Myers;Daphna Shohamy;Mark A. Gluck;Steven Grossman.
Journal of Cognitive Neuroscience (2003)

230 Citations

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