Jacob A. George

1.1k total citations
31 papers, 649 citations indexed

About

Jacob A. George is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jacob A. George has authored 31 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Biomedical Engineering, 17 papers in Cognitive Neuroscience and 14 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jacob A. George's work include Muscle activation and electromyography studies (26 papers), Neuroscience and Neural Engineering (14 papers) and EEG and Brain-Computer Interfaces (12 papers). Jacob A. George is often cited by papers focused on Muscle activation and electromyography studies (26 papers), Neuroscience and Neural Engineering (14 papers) and EEG and Brain-Computer Interfaces (12 papers). Jacob A. George collaborates with scholars based in United States, Canada and South Korea. Jacob A. George's co-authors include Gregory A. Clark, Tyler S. Davis, Douglas T. Hutchinson, Christopher C. Duncan, David T. Kluger, Suzanne Wendelken, David M. Page, Paul D. Marasco, Elizaveta V. Okorokova and Sliman J. Bensmaı̈a and has published in prestigious journals such as Scientific Reports, The FASEB Journal and Frontiers in Human Neuroscience.

In The Last Decade

Jacob A. George

28 papers receiving 643 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jacob A. George United States 11 520 366 353 76 41 31 649
Christopher C. Duncan United States 10 515 1.0× 406 1.1× 408 1.2× 55 0.7× 38 0.9× 14 717
David T. Kluger United States 9 478 0.9× 367 1.0× 357 1.0× 58 0.8× 24 0.6× 10 643
Enzo Mastinu Sweden 16 586 1.1× 286 0.8× 399 1.1× 58 0.8× 25 0.6× 32 699
Dylan T. Beckler United States 8 438 0.8× 378 1.0× 289 0.8× 42 0.6× 20 0.5× 11 604
Francesco Iberite Italy 11 640 1.2× 619 1.7× 479 1.4× 34 0.4× 60 1.5× 17 938
Zachary C. Thumser United States 10 451 0.9× 427 1.2× 324 0.9× 46 0.6× 22 0.5× 21 681
G. Cavallo Italy 10 313 0.6× 331 0.9× 299 0.8× 58 0.8× 31 0.8× 21 555
Matija Štrbac Serbia 15 447 0.9× 472 1.3× 237 0.7× 40 0.5× 18 0.4× 43 695
Edoardo D’Anna Switzerland 10 703 1.4× 607 1.7× 580 1.6× 33 0.4× 68 1.7× 14 931
Rahul R. Kaliki United States 14 758 1.5× 583 1.6× 430 1.2× 40 0.5× 114 2.8× 32 905

Countries citing papers authored by Jacob A. George

Since Specialization
Citations

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

Fields of papers citing papers by Jacob A. George

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacob A. George. 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 Jacob A. George. The network helps show where Jacob A. George may publish in the future.

Co-authorship network of co-authors of Jacob A. George

This figure shows the co-authorship network connecting the top 25 collaborators of Jacob A. George. A scholar is included among the top collaborators of Jacob A. George 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 Jacob A. George. Jacob A. George 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.
Cole, Kristin, et al.. (2025). A Low-Profile High-Density Electromyography Neckband for Recording Neck Muscle Activity. PubMed. 2025. 1–5. 1 indexed citations
2.
Cole, Kristin, et al.. (2025). Predicting Motor Intent from Residual Neck Muscle Activity in Individuals with Neck Weakness from ALS. PubMed. 2025. 1–6. 1 indexed citations
3.
Clark, Gregory A., et al.. (2024). Validity and Impact of Methods for Collecting Training Data for Myoelectric Prosthetic Control Algorithms. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 32. 1974–1983. 6 indexed citations
4.
Scheme, Erik, et al.. (2024). Enhancing neuroprosthesis calibration: the advantage of integrating prior training over exclusive use of new data. Journal of Neural Engineering. 21(6). 66020–66020. 2 indexed citations
5.
George, Jacob A., et al.. (2024). Proportional myoelectric control of a virtual bionic arm in participants with hemiparesis, muscle spasticity, and impaired range of motion. Journal of NeuroEngineering and Rehabilitation. 21(1). 222–222. 2 indexed citations
6.
Paskett, Michael D., et al.. (2024). Electromyographically controlled prosthetic wrist improves dexterity and reduces compensatory movements without added cognitive load. Scientific Reports. 14(1). 23248–23248. 2 indexed citations
7.
George, Jacob A., et al.. (2023). Intuitive, Myoelectric Control of Adaptive Sports Equipment for Individuals with Tetraplegia. PubMed. 2023. 1–6. 3 indexed citations
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George, Jacob A., et al.. (2023). Delayed Muscle Activity in Stroke Survivors with Upper-Limb Hemiparesis. PubMed. 2023. 1–4. 2 indexed citations
11.
Duncan, Christopher C., et al.. (2022). A Multi-User Transradial Functional-Test Socket for Validation of New Myoelectric Prosthetic Control Strategies. Frontiers in Neurorobotics. 16. 872791–872791. 4 indexed citations
12.
Clark, Gregory A., et al.. (2021). A Recurrent Neural Network Provides Stable Across-Day Prosthetic Control for a Human Amputee with Implanted Intramuscular Electromyographic Recording Leads. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2021. 6171–6174. 1 indexed citations
13.
Paskett, Michael D., et al.. (2021). Activities of daily living with bionic arm improved by combination training and latching filter in prosthesis control comparison. Journal of NeuroEngineering and Rehabilitation. 18(1). 45–45. 21 indexed citations
14.
George, Jacob A., et al.. (2021). Robust Torque Predictions From Electromyography Across Multiple Levels of Active Exoskeleton Assistance Despite Non-linear Reorganization of Locomotor Output. Frontiers in Neurorobotics. 15. 700823–700823. 18 indexed citations
15.
Page, David M., Jacob A. George, Suzanne Wendelken, et al.. (2021). Discriminability of multiple cutaneous and proprioceptive hand percepts evoked by intraneural stimulation with Utah slanted electrode arrays in human amputees. Journal of NeuroEngineering and Rehabilitation. 18(1). 12–12. 20 indexed citations
16.
Davis, Tyler S., et al.. (2020). Portable Take-Home System Enables Proportional Control and High-Resolution Data Logging With a Multi-Degree-of-Freedom Bionic Arm. Frontiers in Robotics and AI. 7. 559034–559034. 16 indexed citations
17.
Paskett, Michael D., Jacob A. George, David T. Kluger, et al.. (2019). A Modular Transradial Bypass Socket for Surface Myoelectric Prosthetic Control in Non-Amputees. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 27(10). 2070–2076. 17 indexed citations
18.
Page, David M., Jacob A. George, David T. Kluger, et al.. (2018). Motor Control and Sensory Feedback Enhance Prosthesis Embodiment and Reduce Phantom Pain After Long-Term Hand Amputation. Frontiers in Human Neuroscience. 12. 352–352. 128 indexed citations
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Wendelken, Suzanne, Tyler S. Davis, David T. Kluger, et al.. (2017). Polynomial Kalman filter for myoelectric prosthetics using efficient kernel ridge regression. 432–435. 9 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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