What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Cognition
- Statistics
Artificial intelligence, Cognitive psychology, Handwriting, Communication and Kinematics are his primary areas of study.
His studies deal with areas such as Complement, Computer vision and Goal directed behavior as well as Artificial intelligence.
His work deals with themes such as Social psychology, Neuroimaging and Motor control, which intersect with Cognitive psychology.
His Handwriting research includes elements of Cursive, Cognitive science, Information processing and Arithmetic.
Ruud G. J. Meulenbroek applies his multidisciplinary studies on Communication and Body movement in his research.
His Kinematics research also works with subjects such as
- Simulation which is related to area like Anticipation, Target angle, Compensation and Motion,
- Spastic hemiparesis, which have a strong connection to Physical medicine and rehabilitation.
His most cited work include:
- Planning Reaches by Evaluating Stored Postures. (346 citations)
- Posture-based motion planning: applications to grasping. (310 citations)
- Egocentric and allocentric constraints in the expression of patterns of interlimb coordination (169 citations)
What are the main themes of his work throughout his whole career to date?
Ruud G. J. Meulenbroek spends much of his time researching Cognitive psychology, Communication, Artificial intelligence, Motor control and Physical medicine and rehabilitation.
Ruud G. J. Meulenbroek focuses mostly in the field of Cognitive psychology, narrowing it down to topics relating to Perception and, in certain cases, Stimulus.
The various areas that he examines in his Communication study include Kinematics, Handwriting and Information processing.
Ruud G. J. Meulenbroek combines subjects such as Constraint, Cognitive science, Computer vision and Natural language processing with his study of Artificial intelligence.
His study in Motor control is interdisciplinary in nature, drawing from both Motor skill and Human–computer interaction.
His research investigates the connection between Physical medicine and rehabilitation and topics such as Simulation that intersect with issues in Visual control.
He most often published in these fields:
- Cognitive psychology (24.31%)
- Communication (20.83%)
- Artificial intelligence (18.06%)
What were the highlights of his more recent work (between 2012-2021)?
- Physical medicine and rehabilitation (17.36%)
- Dance (3.47%)
- Cognitive psychology (24.31%)
In recent papers he was focusing on the following fields of study:
Ruud G. J. Meulenbroek focuses on Physical medicine and rehabilitation, Dance, Cognitive psychology, Haptic technology and Sample entropy.
His biological study spans a wide range of topics, including Motor task, 3d kinematics and Standard deviation.
His Cognitive psychology research includes themes of Speech recognition, Hurst exponent, Event-related potential and Handwriting.
His research in Visual feedback intersects with topics in Communication and Flexibility.
His research in Principal component analysis focuses on subjects like Acceleration, which are connected to Kinematics.
His Audiology research is multidisciplinary, incorporating elements of Perspective, Artificial intelligence and Computer vision.
Between 2012 and 2021, his most popular works were:
- Coordination dynamics in horse-rider dyads (26 citations)
- Effects of hand orientation on motor imagery - event related potentials suggest kinesthetic motor imagery to solve the hand laterality judgment task (24 citations)
- Biomechanics in posture space: Properties and relevance of principal accelerations for characterizing movement control. (15 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Cognition
- Statistics
Ruud G. J. Meulenbroek mainly focuses on Simulation, Physical medicine and rehabilitation, Relative phase, Standard deviation and Kinesthetic learning.
The various areas that Ruud G. J. Meulenbroek examines in his Simulation study include Visual feedback and Communication.
Ruud G. J. Meulenbroek interconnects Repetitive movements and 3d kinematics in the investigation of issues within Physical medicine and rehabilitation.
His work carried out in the field of Standard deviation brings together such families of science as Multivariate analysis of variance and Gait.
His study ties his expertise on Kinematics together with the subject of Multivariate analysis of variance.
His Kinesthetic learning study incorporates themes from Cognition, Event-related potential, Electroencephalography, Orientation and Functional magnetic resonance imaging.
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