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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Reward-Dependent Modulation of Movement Variability
Sarah E. Pekny, Jun Izawa, Reza Shadmehr
Journal of Neuroscience (2015) Vol. 35, Iss. 9, pp. 4015-4024
Open Access | Times Cited: 182

Showing 1-25 of 182 citing articles:

Motor Learning
John W. Krakauer, Alkis M. Hadjiosif, Jing Xu, et al.
Comprehensive physiology (2019), pp. 613-663
Closed Access | Times Cited: 547
The Role of Variability in Motor Learning
Ashesh K. Dhawale, Maurice A. Smith, Bence P. Ölveczky
Annual Review of Neuroscience (2017) Vol. 40, Iss. 1, pp. 479-498
Open Access | Times Cited: 440
It's not (only) the mean that matters: variability, noise and exploration in skill learning
Dagmar Sternad
Current Opinion in Behavioral Sciences (2018) Vol. 20, pp. 183-195
Open Access | Times Cited: 195
Vigor of reaching movements: reward discounts the cost of effort
Erik M. Summerside, Reza Shadmehr, Alaa A. Ahmed
Journal of Neurophysiology (2018) Vol. 119, Iss. 6, pp. 2347-2357
Open Access | Times Cited: 163
Vagus nerve stimulation drives selective circuit modulation through cholinergic reinforcement
Spencer Bowles, Jordan Hickman, Xiaoyu Peng, et al.
Neuron (2022) Vol. 110, Iss. 17, pp. 2867-2885.e7
Open Access | Times Cited: 80
The sense of agency in perception, behaviour and human–machine interactions
Wen Wen, Hiroshi Imamizu
Nature Reviews Psychology (2022) Vol. 1, Iss. 4, pp. 211-222
Open Access | Times Cited: 74
Reward signals in the cerebellum: Origins, targets, and functional implications
Dimitar Kostadinov, Michael Häusser
Neuron (2022) Vol. 110, Iss. 8, pp. 1290-1303
Open Access | Times Cited: 74
The many facets of motor learning and their relevance for Parkinson's disease
Lucio Marinelli, Angelo Quartarone, Mark Hallett, et al.
Clinical Neurophysiology (2017) Vol. 128, Iss. 7, pp. 1127-1141
Open Access | Times Cited: 137
Computations underlying sensorimotor learning
Daniel M. Wolpert, J. Randall Flanagan
Current Opinion in Neurobiology (2015) Vol. 37, pp. 7-11
Open Access | Times Cited: 115
Contribution of explicit processes to reinforcement-based motor learning
Peter Holland, Olivier Codol, Joseph M. Galea
Journal of Neurophysiology (2018) Vol. 119, Iss. 6, pp. 2241-2255
Open Access | Times Cited: 109
Two-photon imaging of neuronal activity in motor cortex of marmosets during upper-limb movement tasks
Teppei Ebina, Yoshito Masamizu, Yasuhiro Tanaka, et al.
Nature Communications (2018) Vol. 9, Iss. 1
Open Access | Times Cited: 91
How feedback, motor imagery, and reward influence brain self‐regulation using real‐time fMRI
Pradyumna Sepúlveda, Ranganatha Sitaram, Mohit Rana, et al.
Human Brain Mapping (2016) Vol. 37, Iss. 9, pp. 3153-3171
Open Access | Times Cited: 86
Adaptive Regulation of Motor Variability
Ashesh K. Dhawale, Yohsuke R. Miyamoto, Maurice A. Smith, et al.
Current Biology (2019) Vol. 29, Iss. 21, pp. 3551-3562.e7
Open Access | Times Cited: 85
Cognitive Control as a Multivariate Optimization Problem
Harrison Ritz, Xiamin Leng, Amitai Shenhav
Journal of Cognitive Neuroscience (2022) Vol. 34, Iss. 4, pp. 569-591
Open Access | Times Cited: 44
Consensus Paper: Cerebellum and Reward
Mario Manto, Michael Adamaszek, Richard Apps, et al.
The Cerebellum (2024) Vol. 23, Iss. 5, pp. 2169-2192
Closed Access | Times Cited: 9
Dissociating error-based and reinforcement-based loss functions during sensorimotor learning
Joshua G. A. Cashaback, Heather E. McGregor, Ayman Mohatarem, et al.
PLoS Computational Biology (2017) Vol. 13, Iss. 7, pp. e1005623-e1005623
Open Access | Times Cited: 85
Proprioceptive loss and the perception, control and learning of arm movements in humans: evidence from sensory neuronopathy
R. Chris Miall, Nick M. Kitchen, Se-Ho Nam, et al.
Experimental Brain Research (2018) Vol. 236, Iss. 8, pp. 2137-2155
Open Access | Times Cited: 83
Credit assignment in movement-dependent reinforcement learning
Samuel D. McDougle, M.J. Boggess, Matthew J. Crossley, et al.
Proceedings of the National Academy of Sciences (2016) Vol. 113, Iss. 24, pp. 6797-6802
Open Access | Times Cited: 78
The Urge to Decide and Act: Implications for Brain Function and Dysfunction
Matthew A. Carland, David Thura, Paul Cisek
The Neuroscientist (2019) Vol. 25, Iss. 5, pp. 491-511
Closed Access | Times Cited: 75
Closing the Loop: From Motor Neuroscience to Neurorehabilitation
Ryan T. Roemmich, Amy J. Bastian
Annual Review of Neuroscience (2018) Vol. 41, Iss. 1, pp. 415-429
Closed Access | Times Cited: 73
Increasing Motor Noise Impairs Reinforcement Learning in Healthy Individuals
Amanda S. Therrien, Daniel M. Wolpert, Amy J. Bastian
eNeuro (2018) Vol. 5, Iss. 3, pp. ENEURO.0050-18.2018
Open Access | Times Cited: 68
Revealing the quality of movement: A meta-analysis review to quantify the thresholds to pathological variability during standing and walking
Niklas König, William R. Taylor, Christian R. Baumann, et al.
Neuroscience & Biobehavioral Reviews (2016) Vol. 68, pp. 111-119
Open Access | Times Cited: 61
Interactions between motor exploration and reinforcement learning
Shintaro Uehara, Firas Mawase, Amanda S. Therrien, et al.
Journal of Neurophysiology (2019) Vol. 122, Iss. 2, pp. 797-808
Open Access | Times Cited: 59
The gradient of the reinforcement landscape influences sensorimotor learning
Joshua G. A. Cashaback, Christopher K. Lao, Dimitrios J. Palidis, et al.
PLoS Computational Biology (2019) Vol. 15, Iss. 3, pp. e1006839-e1006839
Open Access | Times Cited: 55
Estimating Upper-Limb Impairment Level in Stroke Survivors Using Wearable Inertial Sensors and a Minimally-Burdensome Motor Task
Brandon Oubre, Jean‐François Daneault, Hee-Tae Jung, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2020) Vol. 28, Iss. 3, pp. 601-611
Open Access | Times Cited: 53
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