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 49 Citations 11,321 134 World Ranking 2446 National Ranking 1146
Psychology D-index 52 Citations 13,564 139 World Ranking 3081 National Ranking 1783

Overview

What is he best known for?

The fields of study he is best known for:

  • Neuroscience
  • Cognition
  • Artificial intelligence

The scientist’s investigation covers issues in Neuroscience, Cognition, Artificial intelligence, Associative learning and Basal ganglia. Mark A. Gluck frequently studies issues relating to Parkinson's disease and Neuroscience. His Cognition research includes elements of Concept learning, Cognitive psychology, Latent inhibition and Reinforcement learning.

His Concept learning study combines topics from a wide range of disciplines, such as Discrimination learning and Stimulus generalization. The study incorporates disciplines such as Machine learning, Social psychology and Classical conditioning in addition to Artificial intelligence. His study brings together the fields of Cognitive science and Associative learning.

His most cited work include:

  • Interactive memory systems in the human brain. (890 citations)
  • From conditioning to category learning: an adaptive network model. (778 citations)
  • Probabilistic classification learning in amnesia. (495 citations)

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

His primary areas of study are Neuroscience, Cognition, Associative learning, Classical conditioning and Hippocampal formation. His study ties his expertise on Parkinson's disease together with the subject of Neuroscience. The concepts of his Cognition study are interwoven with issues in Cognitive psychology, Audiology, Developmental psychology, Disease and Depression.

His biological study deals with issues like Probabilistic logic, which deal with fields such as Categorization. Mark A. Gluck has researched Associative learning in several fields, including Functional magnetic resonance imaging and Generalization. His study in Classical conditioning is interdisciplinary in nature, drawing from both Entorhinal cortex, Cognitive science and Artificial intelligence.

He most often published in these fields:

  • Neuroscience (51.08%)
  • Cognition (27.96%)
  • Associative learning (18.82%)

What were the highlights of his more recent work (between 2016-2021)?

  • Cognition (27.96%)
  • Disease (7.53%)
  • Neuroscience (51.08%)

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

Mark A. Gluck mainly investigates Cognition, Disease, Neuroscience, Gerontology and Cognitive psychology. His Cognition research includes themes of Audiology, Parkinson's disease, Functional magnetic resonance imaging, Associative learning and Depression. His work carried out in the field of Parkinson's disease brings together such families of science as Developmental psychology and Reinforcement learning.

As a part of the same scientific study, Mark A. Gluck usually deals with the Associative learning, concentrating on Striatum and frequently concerns with Putamen. His study involves Hippocampus, Prefrontal cortex, Rapid eye movement sleep, Sleep in non-human animals and Stimulation, a branch of Neuroscience. His Cognitive psychology study incorporates themes from Probabilistic logic, Memory consolidation, Age related and Healthy aging.

Between 2016 and 2021, his most popular works were:

  • APOE ε4 status in healthy older African Americans is associated with deficits in pattern separation and hippocampal hyperactivation (22 citations)
  • Sleep and the extraction of hidden regularities: A systematic review and the importance of temporal rules. (21 citations)
  • Motor‐symptom laterality affects acquisition in Parkinson's disease: A cognitive and functional magnetic resonance imaging study (16 citations)

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

  • Cognition
  • Neuroscience
  • Artificial intelligence

Cognition, Neuroscience, Hippocampus, Gerontology and Sleep are his primary areas of study. He interconnects Associative learning, Apolipoprotein E, Disease and Laterality in the investigation of issues within Cognition. His biological study spans a wide range of topics, including Hippocampal formation, Neural correlates of consciousness, Disease risk and Risk factor.

His Neuroscience study frequently links to adjacent areas such as Developmental psychology. He has included themes like Resting state fMRI, Prefrontal cortex, Episodic memory and Neuropsychology in his Hippocampus study. His studies deal with areas such as Striatum, Lateralization of brain function, Audiology, Parkinson's disease and Putamen as well as Functional magnetic resonance imaging.

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)

1219 Citations

From conditioning to category learning: an adaptive network model.

Mark A. Gluck;Gordon H. Bower.
Journal of Experimental Psychology: General (1988)

1180 Citations

Probabilistic classification learning in amnesia.

Barbara J. Knowlton;Larry R. Squire;Mark A. Gluck.
Learning & Memory (1994)

705 Citations

Pictures and names: Making the connection ☆

Pierre Jolicoeur;Mark A. Gluck;Stephen M. Kosslyn.
Cognitive Psychology (1984)

695 Citations

Hippocampal mediation of stimulus representation: A computational theory

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

528 Citations

A novelty detection approach to classification

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

521 Citations

Information, Uncertainty and the Utility of Categories

M. Gluck.
Proc.of the Seventh Annual Conf.on Cognitive Science Society (1985)

471 Citations

Comparing modes of rule-based classification learning: A replication and extension of Shepard, Hovland, and Jenkins (1961)

Robert M. Nosofsky;Mark A. Gluck;Thomas J. Palmeri;Stephen C. Mckinley.
Memory & Cognition (1994)

400 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)

383 Citations

Evaluating an adaptive network model of human learning

Mark A Gluck;Gordon H Bower.
Journal of Memory and Language (1988)

376 Citations

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