Paul L. Gribble

7.2k total citations
98 papers, 5.0k citations indexed

About

Paul L. Gribble is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Social Psychology. According to data from OpenAlex, Paul L. Gribble has authored 98 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Cognitive Neuroscience, 56 papers in Biomedical Engineering and 34 papers in Social Psychology. Recurrent topics in Paul L. Gribble's work include Motor Control and Adaptation (81 papers), Muscle activation and electromyography studies (55 papers) and Action Observation and Synchronization (34 papers). Paul L. Gribble is often cited by papers focused on Motor Control and Adaptation (81 papers), Muscle activation and electromyography studies (55 papers) and Action Observation and Synchronization (34 papers). Paul L. Gribble collaborates with scholars based in Canada, United States and Netherlands. Paul L. Gribble's co-authors include David J. Ostry, Andrew A. G. Mattar, Jeremy D. Wong, Nicholas Cothros, Stephen H. Scott, Elizabeth T. Wilson, J. Andrew Pruszynski, Dinant Kistemaker, Heather E. McGregor and Joshua G. A. Cashaback and has published in prestigious journals such as Nature, Neuron and Journal of Neuroscience.

In The Last Decade

Paul L. Gribble

96 papers receiving 4.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Paul L. Gribble Canada 37 4.0k 2.3k 1.5k 639 515 98 5.0k
Romeo Chua Canada 43 4.7k 1.2× 1.8k 0.8× 1.2k 0.8× 1.1k 1.7× 771 1.5× 167 6.0k
Otmar Bock Germany 35 3.0k 0.7× 974 0.4× 1.1k 0.8× 949 1.5× 391 0.8× 189 4.4k
Maurice A. Smith United States 26 4.0k 1.0× 1.8k 0.8× 1.6k 1.1× 678 1.1× 408 0.8× 51 4.9k
Claude Ghez United States 34 5.4k 1.4× 2.7k 1.2× 1.4k 1.0× 796 1.2× 443 0.9× 48 6.4k
Martha Flanders United States 36 4.7k 1.2× 2.7k 1.2× 1.1k 0.7× 475 0.7× 288 0.6× 80 5.6k
Dagmar Sternad United States 40 3.8k 1.0× 2.5k 1.1× 1.5k 1.0× 1.5k 2.4× 517 1.0× 167 6.2k
Michel Desmurget France 41 6.2k 1.6× 1.6k 0.7× 1.8k 1.2× 491 0.8× 555 1.1× 75 7.5k
Kelly J. Cole United States 30 2.6k 0.7× 1.7k 0.8× 749 0.5× 286 0.4× 474 0.9× 56 3.5k
M. F. Ghilardi United States 28 3.5k 0.9× 1.3k 0.5× 933 0.6× 373 0.6× 300 0.6× 32 4.4k
Charalambos Papaxanthis France 42 3.2k 0.8× 969 0.4× 1.5k 1.0× 800 1.3× 1.5k 2.8× 126 4.5k

Countries citing papers authored by Paul L. Gribble

Since Specialization
Citations

This map shows the geographic impact of Paul L. Gribble's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Paul L. Gribble with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul L. Gribble more than expected).

Fields of papers citing papers by Paul L. Gribble

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul L. Gribble. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Paul L. Gribble. The network helps show where Paul L. Gribble may publish in the future.

Co-authorship network of co-authors of Paul L. Gribble

This figure shows the co-authorship network connecting the top 25 collaborators of Paul L. Gribble. A scholar is included among the top collaborators of Paul L. Gribble based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Paul L. Gribble. Paul L. Gribble is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gribble, Paul L.. (2025). How to design your academic website. Nature Human Behaviour. 9(10). 1999–2002.
2.
3.
Weiler, Jeffrey, Paul L. Gribble, & J. Andrew Pruszynski. (2021). Spinal stretch reflexes support efficient control of reaching. Journal of Neurophysiology. 125(4). 1339–1347. 15 indexed citations
4.
Yokoi, Atsushi, et al.. (2020). The effect of instruction on motor skill learning. Journal of Neurophysiology. 124(5). 1449–1457. 13 indexed citations
5.
Gribble, Paul L., et al.. (2020). Generalizing movement patterns following shoulder fixation. Journal of Neurophysiology. 123(3). 1193–1205. 4 indexed citations
6.
Gribble, Paul L., et al.. (2020). EEG correlates of physical effort and reward processing during reinforcement learning. Journal of Neurophysiology. 124(2). 610–622. 10 indexed citations
7.
Cashaback, Joshua G. A., et al.. (2019). Neural signatures of reward and sensory error feedback processing in motor learning. Journal of Neurophysiology. 121(4). 1561–1574. 37 indexed citations
8.
Cashaback, Joshua G. A., et al.. (2019). The gradient of the reinforcement landscape influences sensorimotor learning. PLoS Computational Biology. 15(3). e1006839–e1006839. 38 indexed citations
9.
Weiler, Jeffrey, Paul L. Gribble, & J. Andrew Pruszynski. (2019). Spinal stretch reflexes support efficient hand control. Nature Neuroscience. 22(4). 529–533. 70 indexed citations
10.
Ohashi, Hiroki, Paul L. Gribble, & David J. Ostry. (2019). Somatosensory cortical excitability changes precede those in motor cortex during human motor learning. Journal of Neurophysiology. 122(4). 1397–1405. 35 indexed citations
11.
McGregor, Heather E., Joshua G. A. Cashaback, & Paul L. Gribble. (2018). Somatosensory perceptual training enhances motor learning by observing. Journal of Neurophysiology. 120(6). 3017–3025. 21 indexed citations
12.
Gu, Chao, J. Andrew Pruszynski, Paul L. Gribble, & Brian D. Corneil. (2018). A rapid visuomotor response on the human upper limb is selectively influenced by implicit motor learning. Journal of Neurophysiology. 121(1). 85–95. 16 indexed citations
13.
Cluff, Tyler, et al.. (2017). Compensating for intersegmental dynamics across the shoulder, elbow, and wrist joints during feedforward and feedback control. Journal of Neurophysiology. 118(4). 1984–1997. 24 indexed citations
14.
McGregor, Heather E. & Paul L. Gribble. (2017). Functional connectivity between somatosensory and motor brain areas predicts individual differences in motor learning by observing. Journal of Neurophysiology. 118(2). 1235–1243. 36 indexed citations
15.
Gu, Chao, J. Andrew Pruszynski, Paul L. Gribble, & Brian D. Corneil. (2017). Done in 100 ms: path-dependent visuomotor transformation in the human upper limb. Journal of Neurophysiology. 119(4). 1319–1328. 18 indexed citations
16.
Ostry, David J. & Paul L. Gribble. (2016). Sensory Plasticity in Human Motor Learning. Trends in Neurosciences. 39(2). 114–123. 145 indexed citations
17.
Wood, Daniel K., Chao Gu, Brian D. Corneil, Paul L. Gribble, & Melvyn A. Goodale. (2015). Transient visual responses reset the phase of low‐frequency oscillations in the skeletomotor periphery. European Journal of Neuroscience. 42(3). 1919–1932. 36 indexed citations
18.
Kistemaker, Dinant, Jeremy D. Wong, & Paul L. Gribble. (2010). The Central Nervous System Does Not Minimize Energy Cost in Arm Movements. Journal of Neurophysiology. 104(6). 2985–2994. 76 indexed citations
19.
Cothros, Nicholas, Jeremy D. Wong, & Paul L. Gribble. (2009). Visual Cues Signaling Object Grasp Reduce Interference in Motor Learning. Journal of Neurophysiology. 102(4). 2112–2120. 50 indexed citations
20.
Darainy, Mohammad, Nicole Malfait, Paul L. Gribble, Farzad Towhidkhah, & David J. Ostry. (2004). Learning to Control Arm Stiffness Under Static Conditions. Journal of Neurophysiology. 92(6). 3344–3350. 75 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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