D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Neuroscience D-index 36 Citations 6,072 88 World Ranking 4000 National Ranking 242

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Neuroscience
  • Neuron

His main research concerns Motor learning, Physical medicine and rehabilitation, Movement, Communication and Neuroscience. His Motor learning study integrates concerns from other disciplines, such as Stimulus, Motor control and Artificial intelligence. Paul L. Gribble has included themes like Muscle memory, Somatosensory system, Perception and Degrees of freedom problem in his Motor control study.

The Physical medicine and rehabilitation study which covers Elbow that intersects with Motor behaviour and Biomechanics. The Movement study combines topics in areas such as Human arm, Reflex, Muscle contraction, Joint and Electromyography. His work in the fields of Dissociation, Neural activity and Primary motor cortex overlaps with other areas such as Population vector.

His most cited work include:

  • Role of Cocontraction in Arm Movement Accuracy (462 citations)
  • Motor Learning by Observing (299 citations)
  • Temporal constraints on the McGurk effect (283 citations)

What are the main themes of his work throughout his whole career to date?

His scientific interests lie mostly in Motor learning, Physical medicine and rehabilitation, Neuroscience, Elbow and Reflex. Paul L. Gribble has researched Motor learning in several fields, including Cognitive psychology, Somatosensory system, Motor skill, Perception and Motor control. His work in Motor control tackles topics such as Electromyography which are related to areas like Biomechanics.

His work deals with themes such as Motor system, Wrist, Sensory system and Forearm, which intersect with Physical medicine and rehabilitation. His biological study spans a wide range of topics, including Neurophysiology, Neuroimaging and Communication. His Elbow research is multidisciplinary, incorporating elements of Shoulder joint and Feed forward.

He most often published in these fields:

  • Motor learning (39.13%)
  • Physical medicine and rehabilitation (33.33%)
  • Neuroscience (26.09%)

What were the highlights of his more recent work (between 2018-2021)?

  • Motor learning (39.13%)
  • Neuroscience (26.09%)
  • Physical medicine and rehabilitation (33.33%)

In recent papers he was focusing on the following fields of study:

Paul L. Gribble mostly deals with Motor learning, Neuroscience, Physical medicine and rehabilitation, Electroencephalography and Motor adaptation. His studies deal with areas such as Stretch reflex, Motor skill and Sensory system as well as Motor learning. His Neuroscience research incorporates themes from Upper limb and Sensitivity.

The concepts of his Physical medicine and rehabilitation study are interwoven with issues in Shoulder joint and Elbow. He combines subjects such as Motor cortex, Somatosensory system, Motor skill acquisition and Reinforcement learning with his study of Electroencephalography. His Reflex research incorporates elements of Motor control and Nervous system.

Between 2018 and 2021, his most popular works were:

  • Spinal stretch reflexes support efficient hand control (37 citations)
  • Both fast and slow learning processes contribute to savings following sensorimotor adaptation. (20 citations)
  • The gradient of the reinforcement landscape influences sensorimotor learning (16 citations)

In his most recent research, the most cited papers focused on:

  • Neuroscience
  • Artificial intelligence
  • Neuron

Motor learning, Neuroscience, Motor adaptation, Cognitive psychology and Sensory system are his primary areas of study. His Motor learning research includes elements of Motor system, Probability distribution, Motor skill and Clockwise. Many of his research projects under Neuroscience are closely connected to Component with Component, tying the diverse disciplines of science together.

The study incorporates disciplines such as Feedback related negativity, Adaptation and Error feedback in addition to Motor adaptation. His Cognitive psychology research includes themes of Sampling and Reinforcement. His Sensory system research is multidisciplinary, incorporating perspectives in Visual feedback and Physical medicine and rehabilitation.

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.

Best Publications

Role of Cocontraction in Arm Movement Accuracy

Paul L. Gribble;Lucy I. Mullin;Nicholas Cothros;Andrew Mattar.
Journal of Neurophysiology (2003)

650 Citations

Temporal constraints on the McGurk effect

K. G. Munhall;P. Gribble;L. Sacco;M. Ward.
Attention Perception & Psychophysics (1996)

458 Citations

Motor Learning by Observing

Andrew A.G. Mattar;Paul L. Gribble.
Neuron (2005)

411 Citations

ARE COMPLEX CONTROL SIGNALS REQUIRED FOR HUMAN ARM MOVEMENT

Paul L. Gribble;David J. Ostry;Vittorio Sanguineti;Rafael Laboissière.
Journal of Neurophysiology (1998)

329 Citations

Compensation for interaction torques during single- and multijoint limb movement.

Paul L. Gribble;David J. Ostry.
Journal of Neurophysiology (1999)

323 Citations

Somatosensory Plasticity and Motor Learning

David J. Ostry;Mohammad Darainy;Andrew A. G. Mattar;Jeremy Wong.
The Journal of Neuroscience (2010)

258 Citations

Dissociation between hand motion and population vectors from neural activity in motor cortex

Stephen H. Scott;Paul L. Gribble;Paul L. Gribble;Kirsten M. Graham;D. William Cabel.
Nature (2001)

183 Citations

Origins of the power law relation between movement velocity and curvature: modeling the effects of muscle mechanics and limb dynamics.

P. L. Gribble;D. J. Ostry.
Journal of Neurophysiology (1996)

150 Citations

Overlap of internal models in motor cortex for mechanical loads during reaching

Paul L. Gribble;Stephen H. Scott.
Nature (2002)

135 Citations

Sensory Plasticity in Human Motor Learning.

David J. Ostry;David J. Ostry;Paul L. Gribble;Paul L. Gribble.
Trends in Neurosciences (2016)

131 Citations

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