What is he best known for?
The fields of study he is best known for:
- Cognition
- Artificial intelligence
- Statistics
His scientific interests lie mostly in Cognitive psychology, Cognition, Social psychology, Cognitive science and Associative learning.
His work carried out in the field of Cognitive psychology brings together such families of science as Dissociation, Classical conditioning and Causality.
His Cognition research integrates issues from Contingency and Perception.
His studies in Social psychology integrate themes in fields like Implicit learning, Type I and type II errors, Heuristic and Action.
His study in Cognitive science is interdisciplinary in nature, drawing from both Rule induction, Associationism, Unconscious mind and Preference learning.
He interconnects Equivalence, Associative property, Functional magnetic resonance imaging, Prefrontal cortex and Brain mapping in the investigation of issues within Associative learning.
His most cited work include:
- Characteristics of dissociable human learning systems (979 citations)
- The role of awareness in Pavlovian conditioning: Empirical evidence and theoretical implications (587 citations)
- Judgement of act-outcome contingency: The role of selective attribution (332 citations)
What are the main themes of his work throughout his whole career to date?
David R. Shanks mostly deals with Cognitive psychology, Social psychology, Cognition, Cognitive science and Implicit learning.
He works in the field of Cognitive psychology, namely Associative learning.
In his work, Attribution, Action and Judgement is strongly intertwined with Causality, which is a subfield of Social psychology.
His research on Cognition also deals with topics like
- Categorization which intersects with area such as Probabilistic logic,
- Perception which intersects with area such as Subliminal stimuli.
His Cognitive science research incorporates themes from Classical conditioning, Connectionism and Learning theory.
Many of his studies on Implicit learning apply to Sequence learning as well.
He most often published in these fields:
- Cognitive psychology (55.32%)
- Social psychology (22.98%)
- Cognition (22.55%)
What were the highlights of his more recent work (between 2016-2021)?
- Cognitive psychology (55.32%)
- PsycINFO (3.40%)
- Metacognition (3.40%)
In recent papers he was focusing on the following fields of study:
David R. Shanks focuses on Cognitive psychology, PsycINFO, Metacognition, Implicit learning and Test.
His research integrates issues of Implicit memory, Procedural memory and Reading in his study of Cognitive psychology.
The study incorporates disciplines such as Classical conditioning, Associative property, Memory performance and Fluency in addition to Metacognition.
He has included themes like Value judgment and Cognitive science in his Fluency study.
His Implicit learning course of study focuses on Probabilistic logic and Habit, Spatial perception and Visual attention.
His Priming study combines topics in areas such as Recognition memory, Social psychology and Control.
Between 2016 and 2021, his most popular works were:
- The procedural learning deficit hypothesis of language learning disorders: we see some problems (70 citations)
- Regressive research: The pitfalls of post hoc data selection in the study of unconscious mental processes (62 citations)
- Registered Replication Report: Dijksterhuis and van Knippenberg (1998): (29 citations)
In his most recent research, the most cited papers focused on:
- Cognition
- Artificial intelligence
- Statistics
David R. Shanks mainly investigates Cognitive psychology, Test, Metacognition, Interim and Implicit learning.
The various areas that David R. Shanks examines in his Cognitive psychology study include Visual perception, Perception, Visual Physiology, Corrective feedback and Error detection and correction.
His Corrective feedback study combines topics from a wide range of disciplines, such as Recognition memory, Cognition, Surprise and Curiosity.
His Test research incorporates elements of Mathematics education, Self-regulated learning, Logical reasoning, Replication and Clinical psychology.
Cognitive science, Value judgment, Reading and Recall is closely connected to Fluency in his research, which is encompassed under the umbrella topic of Metacognition.
His Implicit learning research is multidisciplinary, incorporating perspectives in Statistical hypothesis testing, False positive paradox, Explicit knowledge, Learning effect and Psychological research.
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