Michael D. Ellis

3.3k total citations · 1 hit paper
42 papers, 2.3k citations indexed

About

Michael D. Ellis is a scholar working on Rehabilitation, Neurology and Cognitive Neuroscience. According to data from OpenAlex, Michael D. Ellis has authored 42 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Rehabilitation, 22 papers in Neurology and 14 papers in Cognitive Neuroscience. Recurrent topics in Michael D. Ellis's work include Stroke Rehabilitation and Recovery (29 papers), Botulinum Toxin and Related Neurological Disorders (22 papers) and Muscle activation and electromyography studies (12 papers). Michael D. Ellis is often cited by papers focused on Stroke Rehabilitation and Recovery (29 papers), Botulinum Toxin and Related Neurological Disorders (22 papers) and Muscle activation and electromyography studies (12 papers). Michael D. Ellis collaborates with scholars based in United States, Netherlands and Switzerland. Michael D. Ellis's co-authors include Julius P. A. Dewald, Theresa Sukal‐Moulton, Pamela A. Catlin, Bryn Morgan, Steven L. Wolf, Jun Yao, Randall F. Beer, Jacob G. McPherson, C. J. Heckman and Ana Marı́a Acosta and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and The Journal of Physiology.

In The Last Decade

Michael D. Ellis

40 papers receiving 2.3k citations

Hit Papers

Assessing Wolf Motor Function Test as Outcome Measure for... 2001 2026 2009 2017 2001 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Assessing Wolf Motor Function Test as Outcome Measure for Research in Patients After Stroke
    2001 804 citations Michael D. Ellis et al. profile →

Peers

Michael D. Ellis
Carmen M. Cirstea United States
Mary Ellen Stoykov United States
Charles G. Burgar United States
A. Bardeleben Germany
Stella Maris Michaelsen Brazil
Janis J. Daly United States
Randall F. Beer United States
P. Shor United States
Susan S. Conroy United States
Preeti Raghavan United States
Carmen M. Cirstea United States
Michael D. Ellis
Citations per year, relative to Michael D. Ellis Michael D. Ellis (= 1×) peers Carmen M. Cirstea

Countries citing papers authored by Michael D. Ellis

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Ellis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael D. Ellis. 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 Michael D. Ellis. The network helps show where Michael D. Ellis may publish in the future.

Co-authorship network of co-authors of Michael D. Ellis

This figure shows the co-authorship network connecting the top 25 collaborators of Michael D. Ellis. A scholar is included among the top collaborators of Michael D. Ellis 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 Michael D. Ellis. Michael D. Ellis 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.
Ellis, Michael D., et al.. (2025). Human-in-the-Loop Myoelectric Pattern Recognition Control of an Arm-Support Robot to Improve Reaching in Stroke Survivors. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 33. 1108–1117.
2.
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Ellis, Michael D., et al.. (2023). Shear wave ultrasound elastography of the biceps brachii can be used as a precise proxy for passive elbow torque in individuals with hemiparetic stroke. Physiological Reports. 11(10). e15691–e15691. 1 indexed citations
4.
Hargrove, Levi J., et al.. (2021). Coupling of shoulder joint torques in individuals with chronic stroke mirrors controls, with additional non-load-dependent negative effects in a combined-torque task. Journal of NeuroEngineering and Rehabilitation. 18(1). 134–134. 3 indexed citations
5.
Ellis, Michael D., et al.. (2020). Feasibility of Two Different EMG-Based Pattern Recognition Control Paradigms to Control a Robot After Stroke – Case Study. PubMed. 2020. 833–838. 1 indexed citations
6.
Ellis, Michael D., et al.. (2019). Determining User Intent of Partly Dynamic Shoulder Tasks in Individuals With Chronic Stroke Using Pattern Recognition. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 28(1). 350–358. 20 indexed citations
7.
Almekkawy, Mohamed, Vesna Zderic, Jie Chen, et al.. (2019). Therapeutic Systems and Technologies: State-of-the-Art Applications, Opportunities, and Challenges. IEEE Reviews in Biomedical Engineering. 13. 325–339. 27 indexed citations
8.
Torres, Anthony, et al.. (2019). Mechanical Properties of Ultra High Performance Fiber Reinforced Concrete Made with Foundry Sand. 8(4). 157–167. 3 indexed citations
9.
McPherson, Jacob G., Laura Miller McPherson, Christopher K. Thompson, et al.. (2018). Altered Neuromodulatory Drive May Contribute to Exaggerated Tonic Vibration Reflexes in Chronic Hemiparetic Stroke. Frontiers in Human Neuroscience. 12. 131–131. 12 indexed citations
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McPherson, Jacob G., Michael D. Ellis, R. Norman Harden, et al.. (2018). Neuromodulatory Inputs to Motoneurons Contribute to the Loss of Independent Joint Control in Chronic Moderate to Severe Hemiparetic Stroke. Frontiers in Neurology. 9. 470–470. 23 indexed citations
12.
Ellis, Michael D., et al.. (2017). Flexion synergy overshadows flexor spasticity during reaching in chronic moderate to severe hemiparetic stroke. Clinical Neurophysiology. 128(7). 1308–1314. 53 indexed citations
13.
Ellis, Michael D., Anke I. R. Kottink, G.B. Prange, et al.. (2011). Quantifying loss of independent joint control in acute stroke with a robotic evaluation of reaching workspace. PubMed. 2011. 8231–8234. 14 indexed citations
14.
Ellis, Michael D., Theresa Sukal‐Moulton, & Julius P. A. Dewald. (2009). Impairment-Based 3-D Robotic Intervention Improves Upper Extremity Work Area in Chronic Stroke: Targeting Abnormal Joint Torque Coupling With Progressive Shoulder Abduction Loading. IEEE Transactions on Robotics. 25(3). 549–555. 48 indexed citations
15.
Sukal‐Moulton, Theresa, Michael D. Ellis, & Julius P. A. Dewald. (2007). Shoulder abduction-induced reductions in reaching work area following hemiparetic stroke: neuroscientific implications. Experimental Brain Research. 183(2). 215–223. 212 indexed citations
16.
Sukal‐Moulton, Theresa, Michael D. Ellis, & Julius P. A. Dewald. (2006). Source of Work Area Reduction Following Hemiparetic Stroke and Preliminary Intervention Using the ACT 3D System. PubMed. 2006. 177–180. 16 indexed citations
17.
Ellis, Michael D., et al.. (2005). Modifiability of abnormal isometric elbow and shoulder joint torque coupling after stroke. Muscle & Nerve. 32(2). 170–178. 104 indexed citations
18.
Yao, Jun, Michael D. Ellis, & Julius P. A. Dewald. (2005). Mechanisms And Rehabilitation Of Discoordination Following Stroke Using A Cortical Imaging Method. PubMed. 2005. 4138–4141. 5 indexed citations
19.
Keller, Thierry, Michael D. Ellis, & Julius P. A. Dewald. (2005). Overcoming Abnormal Joint Torque Patterns in Paretic Upper Extremities Using Triceps Stimulation. Artificial Organs. 29(3). 229–232. 23 indexed citations
20.
Ellis, Michael D.. (1951). Tenosynovitis of the Wrist. BMJ. 2(4734). 777–779. 5 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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