What is he best known for?
The fields of study he is best known for:
- Cognition
- Artificial intelligence
- Linguistics
His scientific interests lie mostly in Cognition, Cognitive psychology, Eye movement, Reading and Perception.
Erik D. Reichle has researched Cognition in several fields, including Developmental psychology, Cognitive science and Vision span.
The Cognitive psychology study combines topics in areas such as Neuroimaging, Neuroscience, Brain mapping and Executive functions.
His Eye movement research integrates issues from Predictability, Communication, Word lists by frequency, Word recognition and Visual perception.
His Reading study combines topics from a wide range of disciplines, such as Saccadic masking, Control and Lexical decision task.
His Perception research incorporates themes from Stimulus and Information processing.
His most cited work include:
- Toward a model of eye movement control in reading. (915 citations)
- The E-Z reader model of eye-movement control in reading: comparisons to other models (722 citations)
- Meta-awareness, perceptual decoupling and the wandering mind (489 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Eye movement, Reading, Cognitive psychology, Cognition and Control.
He has included themes like Word lists by frequency and Communication in his Eye movement study.
His studies deal with areas such as Computational model, Word, Eye tracking and Artificial intelligence as well as Reading.
The various areas that Erik D. Reichle examines in his Cognitive psychology study include Lexical access, Saccadic masking, Perception and Psycholinguistics.
His research investigates the connection between Cognition and topics such as Cognitive science that intersect with problems in Vision span.
His Control research is multidisciplinary, relying on both Context, Focus, Empirical research and Comprehension.
He most often published in these fields:
- Eye movement (66.34%)
- Reading (65.35%)
- Cognitive psychology (59.41%)
What were the highlights of his more recent work (between 2017-2021)?
- Reading (65.35%)
- Eye movement (66.34%)
- Cognitive psychology (59.41%)
In recent papers he was focusing on the following fields of study:
Erik D. Reichle spends much of his time researching Reading, Eye movement, Cognitive psychology, Saccade and Artificial intelligence.
His work carried out in the field of Reading brings together such families of science as Writing system and Computational model.
Erik D. Reichle combines subjects such as Word recognition and Cognition with his study of Computational model.
His Eye movement research is multidisciplinary, incorporating perspectives in Affect, Word, Lexical decision task and Presentation.
In his study, which falls under the umbrella issue of Cognitive psychology, Context is strongly linked to Control.
His Saccade study integrates concerns from other disciplines, such as Saccadic masking, Perception, Word lists by frequency, Word and Character.
Between 2017 and 2021, his most popular works were:
- The “risky” reading strategy revisited: New simulations using E-Z Reader: (10 citations)
- Character-complexity effects in Chinese reading and visual search: A comparison and theoretical implications (9 citations)
- Word predictability affects saccade length in Chinese reading: An evaluation of the dynamic-adjustment model (7 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Cognition
- Linguistics
Erik D. Reichle focuses on Eye movement, Cognitive psychology, Reading, Saccade and Rendering.
His primary area of study in Eye movement is in the field of Fixation.
His Cognitive psychology study incorporates themes from Linguistics, Narrative, Conceptualization, Visual processing and Psycholinguistics.
His Reading research includes elements of Vision span, Communication, Control and German.
His research integrates issues of Predictability, Perception, Experimental psychology, Cognition and Computational model in his study of Saccade.
His Rendering research is multidisciplinary, incorporating elements of Segmentation, Text segmentation, Speech recognition and Word lists by frequency.
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