Kevin Englehart

13.7k total citations · 4 hit papers
128 papers, 10.5k citations indexed

About

Kevin Englehart is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Kevin Englehart has authored 128 papers receiving a total of 10.5k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Biomedical Engineering, 79 papers in Cognitive Neuroscience and 74 papers in Cellular and Molecular Neuroscience. Recurrent topics in Kevin Englehart's work include Muscle activation and electromyography studies (114 papers), Neuroscience and Neural Engineering (74 papers) and EEG and Brain-Computer Interfaces (62 papers). Kevin Englehart is often cited by papers focused on Muscle activation and electromyography studies (114 papers), Neuroscience and Neural Engineering (74 papers) and EEG and Brain-Computer Interfaces (62 papers). Kevin Englehart collaborates with scholars based in Canada, Denmark and United States. Kevin Englehart's co-authors include B. Hudgins, Erik Scheme, P.A. Parker, Levi J. Hargrove, Adrian D. C. Chan, P. Parker, Ning Jiang, Bernard Hudgins, Ernest Nlandu Kamavuako and M. Stevenson and has published in prestigious journals such as PLoS ONE, Journal of Neurophysiology and Scientific Reports.

In The Last Decade

Kevin Englehart

126 papers receiving 10.2k citations

Hit Papers

A robust, real-time control scheme for multifunction myoe... 1999 2026 2008 2017 2003 2011 2001 1999 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin Englehart Canada 44 9.9k 6.6k 5.3k 1.3k 622 128 10.5k
Ning Jiang China 40 5.2k 0.5× 5.2k 0.8× 3.5k 0.7× 800 0.6× 527 0.8× 237 7.7k
B. Hudgins Canada 21 5.7k 0.6× 3.8k 0.6× 3.1k 0.6× 859 0.7× 331 0.5× 49 6.1k
Erik Scheme Canada 39 4.5k 0.5× 3.1k 0.5× 2.3k 0.4× 830 0.6× 288 0.5× 143 5.2k
Levi J. Hargrove United States 51 8.7k 0.9× 3.5k 0.5× 3.2k 0.6× 551 0.4× 998 1.6× 214 9.2k
Angkoon Phinyomark Canada 34 3.8k 0.4× 2.4k 0.4× 1.1k 0.2× 868 0.7× 259 0.4× 86 4.7k
José L. Contreras-Vidal United States 46 2.9k 0.3× 5.2k 0.8× 1.6k 0.3× 567 0.4× 1.0k 1.6× 200 7.4k
Claudio Castellini Germany 33 3.6k 0.4× 2.6k 0.4× 1.3k 0.3× 851 0.7× 378 0.6× 126 4.4k
Ping Zhou United States 35 3.7k 0.4× 2.3k 0.4× 1.4k 0.3× 396 0.3× 1.0k 1.6× 218 5.1k
P.A. Parker Canada 26 3.6k 0.4× 2.6k 0.4× 1.9k 0.4× 427 0.3× 160 0.3× 103 4.1k
Dingguo Zhang China 37 2.2k 0.2× 2.2k 0.3× 1.6k 0.3× 444 0.3× 437 0.7× 291 4.7k

Countries citing papers authored by Kevin Englehart

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Englehart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin Englehart. 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 Kevin Englehart. The network helps show where Kevin Englehart may publish in the future.

Co-authorship network of co-authors of Kevin Englehart

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Englehart. A scholar is included among the top collaborators of Kevin Englehart 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 Kevin Englehart. Kevin Englehart 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.
Waris, Asim, et al.. (2018). On the robustness of real-time myoelectric control investigations: a multiday Fitts’ law approach. Journal of Neural Engineering. 16(2). 26003–26003. 25 indexed citations
2.
Waris, Asim, Imran Khan Niazi, Mohsin Jamil, et al.. (2018). The effect of time on EMG classification of hand motions in able-bodied and transradial amputees. Journal of Electromyography and Kinesiology. 40. 72–80. 39 indexed citations
3.
Scheme, Erik, et al.. (2017). Investigation of Optimum Pattern Recognition Methods for Robust Myoelectric Control During Dynamic Limb Movement. 36(1). 7 indexed citations
4.
Kamavuako, Ernest Nlandu, Erik Scheme, & Kevin Englehart. (2014). On the usability of intramuscular EMG for prosthetic control: A Fitts’ Law approach. Journal of Electromyography and Kinesiology. 24(5). 770–777. 37 indexed citations
5.
Kamavuako, Ernest Nlandu, et al.. (2013). Force Estimation in Multiple Degrees of Freedom From Intramuscular Emg Via Muscle Synergies. 36(1). 1 indexed citations
6.
Englehart, Kevin, et al.. (2012). A Study of Kalman Filtering Applied to Myoelectric Signal State Tracking. 35.
7.
Scheme, Erik & Kevin Englehart. (2012). Validation of a Selective Ensemble-Based Classification Scheme for Myoelectric Control Using a Three-Dimensional Fitts' Law Test. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 21(4). 616–623. 70 indexed citations
8.
Fougner, Anders Lyngvi, Erik Scheme, Adrian D. C. Chan, Kevin Englehart, & Øyvind Stavdahl. (2011). Resolving the Limb Position Effect in Myoelectric Pattern Recognition. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 19(6). 644–651. 293 indexed citations
9.
Baker, Justin, Erik Scheme, Kevin Englehart, Douglas T. Hutchinson, & Bradley Greger. (2010). Continuous Detection and Decoding of Dexterous Finger Flexions With Implantable MyoElectric Sensors. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 18(4). 424–432. 58 indexed citations
10.
Losier, Yves, Kevin Englehart, & Bernard Hudgins. (2008). Residual Shoulder Motion Vector Projection. 31. 1 indexed citations
11.
Jiang, Ning, Kevin Englehart, & P.A. Parker. (2008). Extracting Simultaneous and Proportional Neural Control Information for Multiple-DOF Prostheses From the Surface Electromyographic Signal. IEEE Transactions on Biomedical Engineering. 56(4). 1070–1080. 351 indexed citations
12.
Hargrove, Levi J., et al.. (2007). Principal Components Analysis Tuning for Improved Myoelectric Control. 30. 4 indexed citations
13.
Zhou, Ping, Madeleine M. Lowery, Kevin Englehart, et al.. (2007). Decoding a New Neural–Machine Interface for Control of Artificial Limbs. Journal of Neurophysiology. 98(5). 2974–2982. 175 indexed citations
14.
Hargrove, Levi J., Kevin Englehart, & B. Hudgins. (2007). A Comparison of Surface and Intramuscular Myoelectric Signal Classification. IEEE Transactions on Biomedical Engineering. 54(5). 847–853. 418 indexed citations
15.
Jiang, Ning, P.A. Parker, & Kevin Englehart. (2007). Extracting Neural Drives from Surface EMG: A Generative Model and Simulation Studies. Conference proceedings. 70. 4838–4841. 8 indexed citations
16.
Jiang, Ning, P.A. Parker, & Kevin Englehart. (2005). The Motor Unit Innervation Process Correlation and Its Effects on EMG Applications. PubMed. 2005. 4239–4242. 3 indexed citations
17.
Chan, Adrian D. C. & Kevin Englehart. (2004). Continuous classification of myoelectric signals for powered prostheses using gaussian mixture models. 2841–2844. 40 indexed citations
18.
Chan, Adrian D. C., Kevin Englehart, B. Hudgins, & D.F. Lovely. (2002). Hidden Markov model classification of myoelectric signals in speech. IEEE Engineering in Medicine and Biology Magazine. 21(5). 143–146. 45 indexed citations
19.
Englehart, Kevin, B. Hudgins, M. Stevenson, & P.A. Parker. (2002). Classification of myoelectric signal burst patterns using a dynamic neural network. 63–64. 7 indexed citations
20.
Englehart, Kevin, B. Hudgins, & P.A. Parker. (2002). Time-frequency based classification of the myoelectric signal: static vs. dynamic contractions. 1. 317–320. 15 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026