What is he best known for?
The fields of study he is best known for:
- Cognition
- Neuroscience
- Perception
Simon Grondin mainly investigates Time perception, Duration, Developmental psychology, Interval and Social psychology.
His Time perception research includes themes of Cognitive psychology, Psychophysics and Categorization.
His studies deal with areas such as Stimulus Variability, Auditory stimulation and Critical point as well as Developmental psychology.
His Social psychology research is multidisciplinary, incorporating elements of Experimental psychology and Embodied cognition.
His Cognition research integrates issues from Behavioral medicine and Psychological Theory.
His Audiology study incorporates themes from Visual marker and Temporal information.
His most cited work include:
- Timing and time perception: A review of recent behavioral and neuroscience findings and theoretical directions (572 citations)
- Unequal Competition as an Impediment to Personal Development: A Review of the Relative Age Effect in Sport☆ (531 citations)
- From physical time to the first and second moments of psychological time. (339 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Time perception, Audiology, Duration, Cognitive psychology and Interval.
His Time perception research includes elements of Developmental psychology, Stimulus modality, Social psychology and Visual perception.
His Developmental psychology research incorporates themes from Sadness and Arousal.
His study looks at the relationship between Audiology and fields such as Communication, as well as how they intersect with chemical problems.
Simon Grondin interconnects Perspective and Duration in the investigation of issues within Cognitive psychology.
His work on Working memory and Prospective memory as part of general Cognition research is often related to Significant difference, thus linking different fields of science.
He most often published in these fields:
- Time perception (46.37%)
- Audiology (31.84%)
- Duration (29.61%)
What were the highlights of his more recent work (between 2017-2021)?
- Time perception (46.37%)
- Cognitive psychology (23.46%)
- Audiology (31.84%)
In recent papers he was focusing on the following fields of study:
Simon Grondin focuses on Time perception, Cognitive psychology, Audiology, Duration and Stimulus.
The subject of his Time perception research is within the realm of Cognition.
The various areas that Simon Grondin examines in his Cognition study include Moment and Anxiety.
His Cognitive psychology study incorporates themes from Kappa effect, Video sequence and Eye movement.
His work in the fields of Audiology, such as Stuttering and Speech disorder, overlaps with other areas such as Bisection, Rhythm and Emotional memory.
His Statistics study combines topics from a wide range of disciplines, such as Representation, Psychophysics and Intramodal dispersion.
Between 2017 and 2021, his most popular works were:
- Prospective and Retrospective Timing Processes: Theories, Methods, and Findings (10 citations)
- Understanding time perception through non-invasive brain stimulation techniques: A review of studies. (8 citations)
- A tRNS investigation of the sensory representation of time (7 citations)
In his most recent research, the most cited papers focused on:
- Cognition
- Neuroscience
- Statistics
His primary areas of investigation include Time perception, Cognitive psychology, Stimulus, Cognition and Bisection.
His Time perception research integrates issues from Auditory cortex, Transcranial magnetic stimulation, Supplementary motor area, Developmental psychology and Visual perception.
His Cognition research incorporates elements of Eating disorders, Bulimia nervosa, Arousal and Anxiety.
Simon Grondin performs integrative Bulimia nervosa and Duration research in his work.
Simon Grondin combines subjects such as Sadness, Parkinson's disease and Neuropsychology with his study of Audiology.
He integrates Interval and Stimulus modality in his studies.
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.
