What is he best known for?
The fields of study he is best known for:
- Social psychology
- Cognition
- Statistics
Kou Murayama mainly investigates Social psychology, Academic achievement, Cognitive psychology, Developmental psychology and Cognition.
His Social psychology research includes elements of False positive paradox, Publication bias and Data collection.
His Academic achievement research incorporates themes from Need for achievement, Psychometrics, Test anxiety, Boredom and Goal orientation.
His Cognitive psychology research is multidisciplinary, relying on both Neural correlates of consciousness, Feeling, Phenomenon and Preference.
His Developmental psychology research is multidisciplinary, incorporating perspectives in Structural equation modeling, Shame, Anger and Coping.
His work deals with themes such as Socioeconomic status, Cognitive science and Locus of control, which intersect with Cognition.
His most cited work include:
- On the measurement of achievement goals: critique, illustration, and application (750 citations)
- Motivational, emotional, and behavioral correlates of fear of missing out (661 citations)
- A 3 × 2 achievement goal model (409 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Social psychology, Cognitive psychology, Developmental psychology, Cognition and Curiosity.
His research integrates issues of Test and Academic achievement in his study of Social psychology.
His work in the fields of Cognitive psychology, such as Set, overlaps with other areas such as Social distance.
His research in Developmental psychology tackles topics such as Anxiety which are related to areas like Clinical psychology.
Kou Murayama combines subjects such as Mental health and Age related with his study of Cognition.
As part of the same scientific family, he usually focuses on Curiosity, concentrating on Cognitive science and intersecting with Knowledge acquisition.
He most often published in these fields:
- Social psychology (40.50%)
- Cognitive psychology (42.00%)
- Developmental psychology (28.00%)
What were the highlights of his more recent work (between 2019-2021)?
- Curiosity (24.50%)
- Cognitive psychology (42.00%)
- Cognition (18.50%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Curiosity, Cognitive psychology, Cognition, Cognitive science and Intrinsic motivation.
His Curiosity study incorporates themes from Mechanism, Empirical research and Surprise.
His Surprise study combines topics in areas such as Shame, Stimulus, Knowledge level, Elementary cognitive task and PsycINFO.
He interconnects Resting state fMRI and Homophily in the investigation of issues within Cognitive psychology.
His research in Cognition intersects with topics in Psychological well-being, Socioemotional selectivity theory and Well-being.
His Cognitive science research is multidisciplinary, incorporating elements of Individual development, Sequence learning, School environment, Knowledge acquisition and Situational interest.
Between 2019 and 2021, his most popular works were:
- Surprised-curious-confused: Epistemic emotions and knowledge exploration. (26 citations)
- Shared striatal activity in decisions to satisfy curiosity and hunger at the risk of electric shocks (15 citations)
- Shared striatal activity in decisions to satisfy curiosity and hunger at the risk of electric shocks (15 citations)
In his most recent research, the most cited papers focused on:
- Cognition
- Social psychology
- Statistics
Kou Murayama focuses on Curiosity, Set, Cognitive psychology, Surprise and Cognition.
Kou Murayama integrates Curiosity with Pride in his research.
His Set study spans across into areas like Value, Ventral striatum, Dorsum and Magic.
The various areas that Kou Murayama examines in his Surprise study include Stimulus, Intrinsic motivation, Elementary cognitive task, Empirical research and Multilevel model.
The concepts of his Cognition study are interwoven with issues in Praise, Gesture and Reinforcement learning.
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