What is he best known for?
The fields of study he is best known for:
- Perception
- Artificial intelligence
- Cognition
His primary scientific interests are in Perception, Visual perception, Cognitive science, Cognition and Social psychology.
He has included themes like Cognitive psychology, Similarity, Artificial intelligence and Reference frame in his Perception study.
His Visual perception study combines topics from a wide range of disciplines, such as Representation, Strengths and weaknesses, Communication and Harmony.
The Cognitive science study combines topics in areas such as Phenomenology, Perspective, Behaviorism and Visual attention.
His Cognition research incorporates themes from Mediation and Color psychology.
His study in Social psychology is interdisciplinary in nature, drawing from both Developmental psychology, Mode, MOZART and Music psychology.
His most cited work include:
- Vision Science: Photons to Phenomenology (1669 citations)
- A Century of Gestalt Psychology in Visual Perception I. Perceptual Grouping and Figure-Ground Organization (668 citations)
- Hierarchical structure in perceptual representation. (564 citations)
What are the main themes of his work throughout his whole career to date?
Perception, Cognitive psychology, Social psychology, Artificial intelligence and Communication are his primary areas of study.
In the subject of general Perception, his work in Visual perception and Gestalt psychology is often linked to Poison control, thereby combining diverse domains of study.
In his study, which falls under the umbrella issue of Cognitive psychology, Figure–ground is strongly linked to Depth perception.
His Social psychology research is multidisciplinary, incorporating elements of Color vision, Color preferences and Harmony.
His work is dedicated to discovering how Artificial intelligence, Computer vision are connected with Reference frame and other disciplines.
His Communication research includes themes of Geometry and Object.
He most often published in these fields:
- Perception (28.88%)
- Cognitive psychology (23.53%)
- Social psychology (20.32%)
What were the highlights of his more recent work (between 2011-2018)?
- Social psychology (20.32%)
- Cognitive psychology (23.53%)
- Color preferences (13.37%)
In recent papers he was focusing on the following fields of study:
His main research concerns Social psychology, Cognitive psychology, Color preferences, Artificial intelligence and Preference.
His Social psychology research is multidisciplinary, incorporating perspectives in Music psychology, Cognition and Mode.
His studies deal with areas such as Crossmodal, Classical music, Visual texture and Perception as well as Cognitive psychology.
Stephen E. Palmer regularly ties together related areas like Cognitive science in his Perception studies.
His work carried out in the field of Artificial intelligence brings together such families of science as Magnitude, Computer vision and Pattern recognition.
His research investigates the connection with Preference and areas like Visual perception which intersect with concerns in Aesthetic preference, Harmony and Object.
Between 2011 and 2018, his most popular works were:
- A Century of Gestalt Psychology in Visual Perception I. Perceptual Grouping and Figure-Ground Organization (668 citations)
- Visual Aesthetics and Human Preference (255 citations)
- Music–color associations are mediated by emotion (155 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Cognition
- Perception
Stephen E. Palmer spends much of his time researching Social psychology, Color preferences, Visual perception, Preference and Visual aesthetics.
His Social psychology study combines topics in areas such as Associative learning, Music psychology and Mode.
His Color preferences research integrates issues from Ecology, Valence, Affective valence, Hue and Colored.
His Visual perception research is classified as research in Perception.
His Perception research is multidisciplinary, relying on both Concept learning and Cognitive science.
Stephen E. Palmer has included themes like Data mining and Pattern recognition in his Artificial intelligence study.
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