J. Andrew Pruszynski

4.1k total citations
72 papers, 2.3k citations indexed

About

J. Andrew Pruszynski is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Social Psychology. According to data from OpenAlex, J. Andrew Pruszynski has authored 72 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Cognitive Neuroscience, 38 papers in Biomedical Engineering and 18 papers in Social Psychology. Recurrent topics in J. Andrew Pruszynski's work include Motor Control and Adaptation (50 papers), Muscle activation and electromyography studies (37 papers) and Neural dynamics and brain function (17 papers). J. Andrew Pruszynski is often cited by papers focused on Motor Control and Adaptation (50 papers), Muscle activation and electromyography studies (37 papers) and Neural dynamics and brain function (17 papers). J. Andrew Pruszynski collaborates with scholars based in Canada, United States and Sweden. J. Andrew Pruszynski's co-authors include Stephen H. Scott, Isaac Kurtzer, Roland S. Johansson, Paul L. Gribble, Mohsen Omrani, Jeffrey Weiler, J. Randall Flanagan, Brenda Brouwer, Joseph Y. Nashed and Timothy Lillicrap and has published in prestigious journals such as Nature, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

J. Andrew Pruszynski

66 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Andrew Pruszynski Canada 25 2.0k 1.4k 454 386 190 72 2.3k
Isaac Kurtzer United States 20 1.6k 0.8× 1.2k 0.9× 391 0.9× 414 1.1× 181 1.0× 42 1.8k
Robert A. Scheidt United States 25 2.1k 1.0× 1.3k 1.0× 590 1.3× 372 1.0× 107 0.6× 78 2.6k
Toshinori Yoshioka Japan 14 2.0k 1.0× 865 0.6× 890 2.0× 257 0.7× 472 2.5× 36 2.4k
Frédéric Crevecoeur Belgium 24 1.2k 0.6× 711 0.5× 338 0.7× 379 1.0× 91 0.5× 63 1.4k
Jordan A. Taylor United States 27 2.7k 1.3× 1.0k 0.8× 1.3k 2.8× 307 0.8× 371 2.0× 63 3.0k
Aymar de Rugy France 24 1.2k 0.6× 707 0.5× 422 0.9× 197 0.5× 100 0.5× 69 1.6k
Kurt A. Thoroughman United States 13 1.5k 0.7× 814 0.6× 581 1.3× 287 0.7× 98 0.5× 22 1.7k
Natalia Dounskaia United States 27 1.7k 0.8× 991 0.7× 561 1.2× 338 0.9× 133 0.7× 55 2.0k
Philip N. Sabes United States 23 2.1k 1.0× 693 0.5× 525 1.2× 181 0.5× 167 0.9× 39 2.4k
Frédéric Danion France 24 1.6k 0.8× 1.3k 0.9× 386 0.9× 619 1.6× 113 0.6× 68 2.2k

Countries citing papers authored by J. Andrew Pruszynski

Since Specialization
Citations

This map shows the geographic impact of J. Andrew Pruszynski'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 J. Andrew Pruszynski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Andrew Pruszynski more than expected).

Fields of papers citing papers by J. Andrew Pruszynski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Andrew Pruszynski. 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 J. Andrew Pruszynski. The network helps show where J. Andrew Pruszynski may publish in the future.

Co-authorship network of co-authors of J. Andrew Pruszynski

This figure shows the co-authorship network connecting the top 25 collaborators of J. Andrew Pruszynski. A scholar is included among the top collaborators of J. Andrew Pruszynski 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 J. Andrew Pruszynski. J. Andrew Pruszynski 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.
Reschechtko, Sasha, et al.. (2025). Single-shot detection of microscale tactile features. Journal of Neurophysiology. 133(6). 1997–2005.
2.
Michaels, Jonathan A., Olivier Codol, Jeffrey Weiler, et al.. (2025). Sensory expectations shape neural population dynamics in motor circuits. Nature. 648(8094). 668–677. 1 indexed citations
3.
4.
Codol, Olivier, et al.. (2023). Sensorimotor feedback loops are selectively sensitive to reward. eLife. 12. 11 indexed citations
5.
6.
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
7.
Reschechtko, Sasha & J. Andrew Pruszynski. (2020). Voluntary modification of rapid tactile-motor responses during reaching differs from its visuomotor counterpart. Journal of Neurophysiology. 124(1). 284–294. 6 indexed citations
8.
Pruszynski, J. Andrew, et al.. (2020). Shared internal models for feedforward and feedback control of arm dynamics in non‐human primates. European Journal of Neuroscience. 53(5). 1605–1620. 5 indexed citations
9.
Hernandez‐Castillo, Carlos R., et al.. (2020). Sensory information from a slipping object elicits a rapid and automatic shoulder response. Journal of Neurophysiology. 123(3). 1103–1112. 5 indexed citations
10.
Gribble, Paul L., et al.. (2020). Generalizing movement patterns following shoulder fixation. Journal of Neurophysiology. 123(3). 1193–1205. 4 indexed citations
11.
Reschechtko, Sasha, et al.. (2019). Maintaining arm control during self‐triggered and unpredictable unloading perturbations. European Journal of Neuroscience. 50(10). 3531–3543. 2 indexed citations
12.
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
13.
Pruszynski, J. Andrew, et al.. (2018). Edge orientation perception during active touch. Journal of Neurophysiology. 120(5). 2423–2429. 14 indexed citations
14.
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
15.
Cluff, Tyler, et al.. (2018). Feedforward and Feedback Control Share an Internal Model of the Arm's Dynamics. Journal of Neuroscience. 38(49). 10505–10514. 55 indexed citations
16.
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
17.
Weiler, Jeffrey, Paul L. Gribble, & J. Andrew Pruszynski. (2017). Rapid feedback responses are flexibly coordinated across arm muscles to support goal-directed reaching. Journal of Neurophysiology. 119(2). 537–547. 9 indexed citations
18.
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
19.
Pruszynski, J. Andrew & Jörn Diedrichsen. (2015). Reading the mind to move the body Decoding neural signals of intention and movement should guide the development of neural prosthetics. UCL Discovery (University College London).
20.
Pruszynski, J. Andrew, Timothy Lillicrap, & Stephen H. Scott. (2009). Complex Spatiotemporal Tuning in Human Upper-Limb Muscles. Journal of Neurophysiology. 103(1). 564–572. 7 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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