What is he best known for?
The fields of study he is best known for:
- Social psychology
- Law
- Artificial intelligence
His primary areas of investigation include Communication, Social psychology, Perception, Reinforcement and Consumer behaviour.
The study incorporates disciplines such as Cognitive psychology, Combinatorics and Video image in addition to Communication.
His research in Cognitive psychology tackles topics such as Categorization which are related to areas like Biological motion.
His study of Social influence is a part of Social psychology.
His Perception study which covers Motion that intersects with Tracking, Movement and Set.
His work investigates the relationship between Consumer behaviour and topics such as Debt that intersect with problems in Locus of control, Socioeconomic status and Demographic economics.
His most cited work include:
- Perception of emotion from dynamic point-light displays represented in dance (542 citations)
- The psychology and economics of demand. (311 citations)
- Money as tool, money as drug: The biological psychology of a strong incentive (307 citations)
What are the main themes of his work throughout his whole career to date?
Stephen E. G. Lea spends much of his time researching Social psychology, Cognitive psychology, Communication, Positive economics and Reinforcement.
His Debt research extends to the thematically linked field of Social psychology.
His Cognitive psychology research incorporates themes from Categorization and Comparative cognition.
His research integrates issues of Visual perception and Artificial intelligence in his study of Communication.
His Artificial intelligence research integrates issues from Computer vision and Pattern recognition.
His research links Consumer behaviour with Positive economics.
He most often published in these fields:
- Social psychology (18.40%)
- Cognitive psychology (16.04%)
- Communication (13.68%)
What were the highlights of his more recent work (between 2010-2021)?
- Cognitive psychology (16.04%)
- Social psychology (18.40%)
- Communication (13.68%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Cognitive psychology, Social psychology, Communication, Artificial intelligence and Associative learning.
Stephen E. G. Lea interconnects Stimulus control and Comparative cognition in the investigation of issues within Cognitive psychology.
Stephen E. G. Lea incorporates Social psychology and Social identity theory in his research.
Stephen E. G. Lea combines subjects such as Aesthetics and Folklore with his study of Communication.
His biological study deals with issues like Pattern recognition, which deal with fields such as Visual perception, Family resemblance and Homo sapiens.
Stephen E. G. Lea works mostly in the field of Associative learning, limiting it down to concerns involving Task switching and, occasionally, Stimulus generalization, Computational model and Set.
Between 2010 and 2021, his most popular works were:
- The repeatability of cognitive performance: a meta-analysis (49 citations)
- How practice makes perfect: the role of persistence, flexibility and learning in problem-solving efficiency (39 citations)
- Why do individuals respond to fraudulent scam communications and lose money? The psychological determinants of scam compliance (38 citations)
In his most recent research, the most cited papers focused on:
- Social psychology
- Law
- Artificial intelligence
Stephen E. G. Lea mainly focuses on Social psychology, Cognitive psychology, Compliance, Communication and Behavioral economics.
His research in Social psychology intersects with topics in Information retrieval, Information processing and Mechanism.
His Cognitive psychology study incorporates themes from Repeatability and Effects of sleep deprivation on cognitive performance.
His Compliance study combines topics from a wide range of disciplines, such as Incentive, Advertising, Self-confidence and Principal.
Stephen E. G. Lea usually deals with Communication and limits it to topics linked to Generalization and Discrimination learning and Artificial intelligence.
His study looks at the relationship between Behavioral economics and topics such as Public economics, which overlap with Development economics.
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