What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Visual perception
His scientific interests lie mostly in Artificial intelligence, Color vision, Perception, Computer vision and Visual perception.
The study incorporates disciplines such as Remote sensing, Optics and Pattern recognition in addition to Artificial intelligence.
The various areas that Karl R. Gegenfurtner examines in his Color vision study include Color constancy, Brightness, Chromatic scale and Neuroscience, Visual cortex.
His Computer vision research incorporates themes from Achromatic lens, Stimulus, Eye movement, Fixation and Object.
Karl R. Gegenfurtner combines subjects such as Cognitive psychology, Motion perception, Cognitive science, Visual system and Optical illusion with his study of Visual perception.
His Motion perception research is multidisciplinary, incorporating perspectives in Luminance, Psychophysics, Smooth pursuit and Communication.
His most cited work include:
- Grasping Visual Illusions: No Evidence for a Dissociation Between Perception and Action (382 citations)
- Color Vision: From Genes to Perception (344 citations)
- Variability of eye movements when viewing dynamic natural scenes. (303 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Artificial intelligence, Computer vision, Perception, Optics and Eye movement.
His Artificial intelligence research integrates issues from Communication and Pattern recognition.
The concepts of his Computer vision study are interwoven with issues in Stimulus and Fixation.
Karl R. Gegenfurtner studied Perception and Cognitive psychology that intersect with Social psychology.
Many of his studies on Optics apply to Psychophysics as well.
Eye movement and Eye tracking are frequently intertwined in his study.
He most often published in these fields:
- Artificial intelligence (50.44%)
- Computer vision (36.90%)
- Perception (22.05%)
What were the highlights of his more recent work (between 2015-2021)?
- Artificial intelligence (50.44%)
- Computer vision (36.90%)
- Pattern recognition (12.88%)
In recent papers he was focusing on the following fields of study:
Karl R. Gegenfurtner mostly deals with Artificial intelligence, Computer vision, Pattern recognition, Perception and Eye movement.
His Artificial intelligence study frequently draws connections to adjacent fields such as Optics.
His Computer vision study incorporates themes from Bidirectional reflectance distribution function, Virtual reality and Position.
His biological study spans a wide range of topics, including Stimulus, Cognitive psychology, Flicker and Electroencephalography.
His study in Eye movement is interdisciplinary in nature, drawing from both Visual perception and Eye tracking.
He has researched Smooth pursuit in several fields, including Motion perception, Communication and Fixation.
Between 2015 and 2021, his most popular works were:
- Color Perception: Objects, Constancy, and Categories. (47 citations)
- The Interaction Between Vision and Eye Movements. (44 citations)
- Dynamic Re-calibration of Perceived Size in Fovea and Periphery through Predictable Size Changes (31 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- Visual perception
Karl R. Gegenfurtner spends much of his time researching Artificial intelligence, Perception, Computer vision, Visual perception and Pattern recognition.
His Artificial intelligence research is multidisciplinary, relying on both Chromatic scale and Optics.
His studies in Perception integrate themes in fields like Stimulus, Cognitive psychology and Eye movement, Fixation.
Karl R. Gegenfurtner works mostly in the field of Computer vision, limiting it down to topics relating to Smooth pursuit and, in certain cases, Motion perception, Eye–hand coordination, Gaze and Communication, as a part of the same area of interest.
His Pattern recognition study combines topics from a wide range of disciplines, such as Pixel, Hue, Color space and Contrast.
His Color vision study combines topics in areas such as Cognitive neuroscience of visual object recognition and Color constancy.
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