Stephen H. Scott

16.6k total citations · 1 hit paper
240 papers, 11.0k citations indexed

About

Stephen H. Scott is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Rehabilitation. According to data from OpenAlex, Stephen H. Scott has authored 240 papers receiving a total of 11.0k indexed citations (citations by other indexed papers that have themselves been cited), including 127 papers in Cognitive Neuroscience, 101 papers in Biomedical Engineering and 62 papers in Rehabilitation. Recurrent topics in Stephen H. Scott's work include Motor Control and Adaptation (107 papers), Muscle activation and electromyography studies (97 papers) and Stroke Rehabilitation and Recovery (62 papers). Stephen H. Scott is often cited by papers focused on Motor Control and Adaptation (107 papers), Muscle activation and electromyography studies (97 papers) and Stroke Rehabilitation and Recovery (62 papers). Stephen H. Scott collaborates with scholars based in Canada, United States and France. Stephen H. Scott's co-authors include J. Andrew Pruszynski, Isaac Kurtzer, Sean P. Dukelow, David A. Winter, Troy M. Herter, John Kalaska, Frédéric Crevecoeur, Lauren E. Sergio, Paul Roberts and Joseph Y. Nashed and has published in prestigious journals such as Nature, Neuron and Journal of Neuroscience.

In The Last Decade

Stephen H. Scott

228 papers receiving 10.8k citations

Hit Papers

Optimal feedback control and the neural basis of volition... 2004 2026 2011 2018 2004 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen H. Scott Canada 59 7.1k 5.3k 1.8k 1.7k 1.3k 240 11.0k
Andreas Daffertshofer Netherlands 50 6.7k 1.0× 2.1k 0.4× 732 0.4× 809 0.5× 1.6k 1.2× 202 10.9k
Lena H. Ting United States 43 4.1k 0.6× 4.9k 0.9× 957 0.5× 613 0.4× 3.0k 2.2× 141 7.7k
Daniel M. Corcos United States 58 4.9k 0.7× 3.2k 0.6× 917 0.5× 1.1k 0.6× 1.8k 1.4× 225 11.3k
Peter J. Beek Netherlands 71 6.7k 0.9× 4.2k 0.8× 1.5k 0.8× 2.6k 1.5× 5.4k 4.1× 377 16.2k
Jacques Duysens Netherlands 64 5.1k 0.7× 5.8k 1.1× 1.9k 1.0× 735 0.4× 5.0k 3.8× 318 14.3k
Rachael D. Seidler United States 57 5.9k 0.8× 1.5k 0.3× 647 0.4× 1.6k 0.9× 1.1k 0.9× 197 10.1k
Nicole Wenderoth Belgium 55 7.4k 1.0× 1.6k 0.3× 746 0.4× 1.8k 1.1× 799 0.6× 195 11.1k
Vladimir M. Zatsiorsky United States 58 7.5k 1.1× 7.5k 1.4× 516 0.3× 1.7k 1.0× 2.8k 2.1× 226 11.0k
Dagmar Sternad United States 40 3.8k 0.5× 2.5k 0.5× 544 0.3× 1.5k 0.9× 1.5k 1.2× 167 6.2k
Jens Bo Nielsen Denmark 68 5.8k 0.8× 6.6k 1.3× 2.1k 1.1× 576 0.3× 1.4k 1.1× 284 15.3k

Countries citing papers authored by Stephen H. Scott

Since Specialization
Citations

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

Fields of papers citing papers by Stephen H. Scott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen H. Scott. 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 Stephen H. Scott. The network helps show where Stephen H. Scott may publish in the future.

Co-authorship network of co-authors of Stephen H. Scott

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen H. Scott. A scholar is included among the top collaborators of Stephen H. Scott 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 Stephen H. Scott. Stephen H. Scott 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
2.
Scott, Stephen H., et al.. (2025). Quantifying Effects of Dataset Size, Data Variability, and Data Curvature on Modelling of Simulated Age-Related Motor Development Data. Electronics. 14(16). 3271–3271. 1 indexed citations
3.
Dukelow, Sean P., et al.. (2025). Optimizing Stroke Detection Using Evidential Networks and Uncertainty-Based Refinement. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 33. 566–576.
4.
Dukelow, Sean P., et al.. (2023). A robot-based interception task to quantify upper limb impairments in proprioceptive and visual feedback after stroke. Journal of NeuroEngineering and Rehabilitation. 20(1). 137–137. 4 indexed citations
5.
Dukelow, Sean P., et al.. (2023). Directional and general impairments in initiating motor responses after stroke. Brain Communications. 5(2). fcad066–fcad066. 1 indexed citations
6.
Semrau, Jennifer A., et al.. (2021). Robot enhanced stroke therapy optimizes rehabilitation (RESTORE): a pilot study. Journal of NeuroEngineering and Rehabilitation. 18(1). 10–10. 30 indexed citations
7.
Herter, Troy M., et al.. (2021). Interjoint coupling of position sense reflects sensory contributions of biarticular muscles. Journal of Neurophysiology. 125(4). 1223–1235. 8 indexed citations
8.
Holden, Rachel M., Samuel A. Silver, Stephen H. Scott, et al.. (2021). Identifying neurocognitive outcomes and cerebral oxygenation in critically ill adults on acute kidney replacement therapy in the intensive care unit: the INCOGNITO-AKI study protocol. BMJ Open. 11(8). e049250–e049250. 1 indexed citations
9.
Lohse, Keith R., Rachel L. Hawe, Sean P. Dukelow, & Stephen H. Scott. (2020). Statistical Considerations for Drawing Conclusions About Recovery. Neurorehabilitation and neural repair. 35(1). 10–22. 4 indexed citations
10.
Findlater, Sonja E., Rachel L. Hawe, Erin L. Mazerolle, et al.. (2019). Comparing CST Lesion Metrics as Biomarkers for Recovery of Motor and Proprioceptive Impairments After Stroke. Neurorehabilitation and neural repair. 33(10). 848–861. 21 indexed citations
12.
Semrau, Jennifer A., et al.. (2018). Effort matching between arms depends on relative limb geometry and personal control. Journal of Neurophysiology. 121(2). 459–470. 6 indexed citations
13.
Samdup, Dawa, et al.. (2018). Toward Robot-Assisted Diagnosis of Developmental Coordination Disorder. IEEE Robotics and Automation Letters. 4(2). 346–350. 6 indexed citations
14.
Bylund, Carma L., et al.. (2017). Communication skills training in Arab countries. Oxford University Press eBooks. 1 indexed citations
15.
Herter, Troy M., Stephen H. Scott, & Sean P. Dukelow. (2014). Systematic changes in position sense accompany normal aging across adulthood. Journal of NeuroEngineering and Rehabilitation. 11(1). 43–43. 68 indexed citations
16.
Cluff, Tyler & Stephen H. Scott. (2013). Rapid Feedback Responses Correlate with Reach Adaptation and Properties of Novel Upper Limb Loads. Journal of Neuroscience. 33(40). 15903–15914. 86 indexed citations
17.
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
18.
Scott, Stephen H.. (2008). Inconvenient Truths about neural processing in primary motor cortex. The Journal of Physiology. 586(5). 1217–1224. 123 indexed citations
19.
Ball, Stephen J., Ian E. Brown, & Stephen H. Scott. (2007). Designing a Robotic Exoskeleton for Shoulder Complex Rehabilitation. 30(1). 6 indexed citations
20.
Scott, Stephen H., et al.. (1994). An automated system for hopper dredge monitoring. US Army Corps of Engineers: Engineer Research and Development Center (Knowledge Core). 2 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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