What is she best known for?
The fields of study she is best known for:
- Social psychology
- Cognition
- Statistics
Lisa Feldman Barrett mostly deals with Cognitive psychology, Social psychology, Affect, Neuroscience and Feeling.
Her work carried out in the field of Cognitive psychology brings together such families of science as Neuroimaging, Cognition and Perception, Emotion perception.
Her study connects Developmental psychology and Social psychology.
Her biological study spans a wide range of topics, including Consciousness, Pleasure, Structure, Conscience and Diener.
The study of Neuroscience is intertwined with the study of Embodied cognition in a number of ways.
Lisa Feldman Barrett studied Feeling and Set that intersect with Goal setting, Expectancy theory and Employee motivation.
Her most cited work include:
- Core affect, prototypical emotional episodes, and other things called emotion: dissecting the elephant. (1591 citations)
- Handbook of emotions, 2nd ed. (1298 citations)
- The brain basis of emotion: A meta-analytic review (1285 citations)
What are the main themes of her work throughout her whole career to date?
Lisa Feldman Barrett spends much of her time researching Cognitive psychology, Social psychology, Affect, Neuroscience and Perception.
Her research in Cognitive psychology focuses on subjects like Cognition, which are connected to Cognitive science.
Her Personality, Feeling and Social relation study are her primary interests in Social psychology.
Her Affect study incorporates themes from Valence, Arousal, Social perception, Consciousness and Continuous flash suppression.
Her study in Amygdala, Brain mapping, Functional magnetic resonance imaging, Macaque and Neuroimaging are all subfields of Neuroscience.
Her study brings together the fields of Developmental psychology and Perception.
She most often published in these fields:
- Cognitive psychology (55.61%)
- Social psychology (26.54%)
- Affect (26.32%)
What were the highlights of her more recent work (between 2018-2021)?
- Cognitive psychology (55.61%)
- Perception (24.03%)
- Neuroscience (31.35%)
In recent papers she was focusing on the following fields of study:
Her scientific interests lie mostly in Cognitive psychology, Perception, Neuroscience, Affect and Cognitive science.
Lisa Feldman Barrett specializes in Cognitive psychology, namely Emotional expression.
Her Perception study integrates concerns from other disciplines, such as Embodied cognition, Cognition, Reading, Developmental psychology and Learning problem.
Her study in the fields of Functional connectivity, Human brain and Amygdala under the domain of Neuroscience overlaps with other disciplines such as Independent data and Interbeat interval.
Lisa Feldman Barrett has included themes like PsycINFO, Neuroimaging and Sensory system in her Affect study.
Her research in Cognitive science tackles topics such as Strict constructionism which are related to areas like Concept learning.
Between 2018 and 2021, her most popular works were:
- Emotional Expressions Reconsidered: Challenges to Inferring Emotion From Human Facial Movements: (283 citations)
- Emotion words, emotion concepts, and emotional development in children: A constructionist hypothesis. (70 citations)
- The power of predictions: An emerging paradigm for psychological research (68 citations)
In her most recent research, the most cited papers focused on:
- Cognition
- Social psychology
- Statistics
Lisa Feldman Barrett mainly focuses on Cognitive psychology, Perception, Affect, Cognitive science and Neuroscience.
Lisa Feldman Barrett studies Sensory system which is a part of Cognitive psychology.
Her Perception research is multidisciplinary, relying on both Learning problem, Object and Categorization.
Her Affect research incorporates themes from Psychophysiology, Insula and Meaning.
Lisa Feldman Barrett interconnects Ontology, Research program, Social cognition and Psychological research in the investigation of issues within Cognitive science.
Her study in the field of Stressor is also linked to topics like Interbeat interval, Independent data and Large group.
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.
