What is he best known for?
The fields of study he is best known for:
- Cognition
- Neuroscience
- Artificial intelligence
Daniel Casasanto spends much of his time researching Cognitive psychology, Embodied cognition, Cognition, Mental representation and Metaphor.
His study in Cognitive psychology is interdisciplinary in nature, drawing from both Reading, Lexical decision task, Gesture and Action.
His Embodied cognition research incorporates themes from Spatial ability, Cognitive science and Verb.
His Spatial ability research is multidisciplinary, incorporating elements of Concept learning and Space.
His research integrates issues of Valence and Honesty in his study of Cognition.
His research in Mental representation intersects with topics in Linguistic relativity and Task analysis.
His most cited work include:
- Time in the mind: Using space to think about time (665 citations)
- Time in the mind: Using space to think about time (665 citations)
- Embodiment of abstract concepts: good and bad in right- and left-handers. (430 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Cognitive psychology, Cognition, Valence, Metaphor and Mental representation.
His Cognitive psychology research is multidisciplinary, relying on both Social psychology, Action, Embodied cognition, Space and Psycholinguistics.
His studies in Embodied cognition integrate themes in fields like Concept learning, Semantics and Spatial ability.
The study incorporates disciplines such as Cognitive science, Perception and Gesture in addition to Cognition.
The concepts of his Valence study are interwoven with issues in Honesty and Fluency.
Daniel Casasanto interconnects Linguistic relativity, Pitch and Set in the investigation of issues within Mental representation.
He most often published in these fields:
- Cognitive psychology (67.24%)
- Cognition (22.41%)
- Valence (23.28%)
What were the highlights of his more recent work (between 2017-2021)?
- Cognitive psychology (67.24%)
- Metaphor (18.53%)
- Valence (23.28%)
In recent papers he was focusing on the following fields of study:
Daniel Casasanto mainly investigates Cognitive psychology, Metaphor, Valence, Embodied cognition and Space.
His Cognitive psychology research integrates issues from Modality and Social perception.
His studies deal with areas such as Emotional intensity, Salient and Mental representation as well as Metaphor.
His work deals with themes such as Levels-of-processing effect, Optimal distinctiveness theory, Conversation and Word learning, which intersect with Valence.
Daniel Casasanto has included themes like Neural system, Motor behavior, Feeling and Similarity in his Embodied cognition study.
His work carried out in the field of Space brings together such families of science as Variation, Magnitude, Association and Set.
Between 2017 and 2021, his most popular works were:
- Spatializing Emotion: No Evidence for a Domain-General Magnitude System (11 citations)
- Spatializing Emotion: No Evidence for a Domain-General Magnitude System (11 citations)
- Approach motivation in human cerebral cortex. (7 citations)
In his most recent research, the most cited papers focused on:
- Cognition
- Neuroscience
- Artificial intelligence
His primary areas of study are Metaphor, Cognitive psychology, Neuroscience, Valence and Transcranial direct-current stimulation.
His Metaphor study integrates concerns from other disciplines, such as Emotional intensity and Mental representation.
His biological study spans a wide range of topics, including Salient, Cognition and Reading.
His study in the field of Stimulation, Neurostimulation, Prefrontal cortex and Cerebral cortex also crosses realms of Specialization.
The various areas that Daniel Casasanto examines in his Valence study include Levels-of-processing effect, Vocabulary, Word learning and Optimal distinctiveness theory.
His Transcranial direct-current stimulation study incorporates themes from Inhibitory postsynaptic potential, Excitatory postsynaptic potential, Verb and Action.
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