Heather E. Williams

433 total citations
19 papers, 254 citations indexed

About

Heather E. Williams is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Heather E. Williams has authored 19 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Biomedical Engineering, 9 papers in Cognitive Neuroscience and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Heather E. Williams's work include Muscle activation and electromyography studies (17 papers), Neuroscience and Neural Engineering (8 papers) and EEG and Brain-Computer Interfaces (6 papers). Heather E. Williams is often cited by papers focused on Muscle activation and electromyography studies (17 papers), Neuroscience and Neural Engineering (8 papers) and EEG and Brain-Computer Interfaces (6 papers). Heather E. Williams collaborates with scholars based in Canada, United States and Japan. Heather E. Williams's co-authors include Jacqueline S. Hebert, Ahmed W. Shehata, Patrick M. Pilarski, Paul D. Marasco, Dylan T. Beckler, Zachary C. Thumser, Jonathon W. Sensinger, Albert H. Vette, Craig S. Chapman and Michael R. Dawson and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Biomedical Engineering and IEEE Signal Processing Magazine.

In The Last Decade

Heather E. Williams

16 papers receiving 244 citations

Peers

Heather E. Williams

CMN

REHAB

Maria Hakonen Finland

Marian-Silviu Poboroniuc Romania

Susannah Engdahl United States

Alicia J. Davis United States

Aaron Fleming United States

Matthew R. Williams United States

Ahmed W. Shehata Canada

Benjamin Stephens-Fripp Australia

Peter Michael Goebel Austria

Christian Klauer Germany

Maria Hakonen Finland

Heather E. Williams

214 ×1.1

195 ×1.7

79 ×0.9

CMN

24 ×0.7

REHAB

37 ×1.3

Citations per year, relative to Heather E. Williams Heather E. Williams (= 1×) peers Maria Hakonen

Countries citing papers authored by Heather E. Williams

Since Specialization

Citations

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

Fields of papers citing papers by Heather E. Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heather E. Williams. 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 Heather E. Williams. The network helps show where Heather E. Williams may publish in the future.

Co-authorship network of co-authors of Heather E. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Heather E. Williams. A scholar is included among the top collaborators of Heather E. Williams 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 Heather E. Williams. Heather E. Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Williams, Heather E., et al.. (2025). From zero- to few-shot: deep temporal learning of wrist EMG enables scalable cross-user gesture recognition. Journal of Neural Engineering. 22(5). 56018–56018. 1 indexed citations

Yokoyama, Hikaru, et al.. (2025). Experimental validation of a finite state controlled functional electrical stimulation walking system with real-time gait phase detection using a single wearable IMU sensor. Biomedical Signal Processing and Control. 110. 108154–108154.

Williams, Heather E., et al.. (2025). Exploring the impact of myoelectric prosthesis controllers on visuomotor behavior. Journal of NeuroEngineering and Rehabilitation. 22(1). 57–57.

Williams, Heather E., et al.. (2025). Efficient Multi-Positioned Training for Regression-Based Myoelectric Control: Exploring Transformer Models with Transfer Learning. PubMed. 2025. 1597–1603.

Williams, Heather E., et al.. (2024). A multifaceted suite of metrics for comparative myoelectric prosthesis controller research. PLoS ONE. 19(5). e0291279–e0291279. 1 indexed citations

Dawson, Michael R., Heather E. Williams, Ahmed W. Shehata, et al.. (2024). Joint Action is a Framework for Understanding Partnerships Between Humans and Upper Limb Prostheses. 605–611. 1 indexed citations

Williams, Heather E., Jacqueline S. Hebert, Patrick M. Pilarski, & Ahmed W. Shehata. (2023). A Case Series in Position-Aware Myoelectric Prosthesis Control Using Recurrent Convolutional Neural Network Classification with Transfer Learning. PubMed. 19. 1–6. 3 indexed citations

Williams, Heather E., Ahmed W. Shehata, Michael R. Dawson, et al.. (2022). Recurrent Convolutional Neural Networks as an Approach to Position-Aware Myoelectric Prosthesis Control. IEEE Transactions on Biomedical Engineering. 69(7). 2243–2255. 34 indexed citations

Williams, Heather E., Johannes Günther, Jacqueline S. Hebert, Patrick M. Pilarski, & Ahmed W. Shehata. (2022). Composite Recurrent Convolutional Neural Networks Offer a Position-Aware Prosthesis Control Alternative While Balancing Predictive Accuracy with Training Burden. PubMed. 2022. 1–6. 4 indexed citations

10.

Williams, Heather E., Albert H. Vette, Yasuyuki Suzuki, et al.. (2022). Development and Validation of a Closed-Loop Functional Electrical Stimulation-Based Controller for Gait Rehabilitation Using a Finite State Machine Model. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 30. 1642–1651. 11 indexed citations

11.

Williams, Heather E., Craig S. Chapman, Patrick M. Pilarski, Albert H. Vette, & Jacqueline S. Hebert. (2021). Myoelectric prosthesis users and non-disabled individuals wearing a simulated prosthesis exhibit similar compensatory movement strategies. Journal of NeuroEngineering and Rehabilitation. 18(1). 72–72. 16 indexed citations

12.

Shehata, Ahmed W., Heather E. Williams, Jacqueline S. Hebert, & Patrick M. Pilarski. (2021). Machine Learning for the Control of Prosthetic Arms: Using Electromyographic Signals for Improved Performance. IEEE Signal Processing Magazine. 38(4). 46–53. 23 indexed citations

13.

Marasco, Paul D., Jacqueline S. Hebert, Jonathon W. Sensinger, et al.. (2021). Neurorobotic fusion of prosthetic touch, kinesthesia, and movement in bionic upper limbs promotes intrinsic brain behaviors. Science Robotics. 6(58). eabf3368–eabf3368. 90 indexed citations

14.

Williams, Heather E., et al.. (2021). The Unavoidable Technology: How Artificial Intelligence Can Strengthen Nuclear Stability. The Washington Quarterly. 44(1). 69–85. 11 indexed citations

15.

Austin, James A., et al.. (2020). A Modular Adjustable Transhumeral Prosthetic Socket for Evaluating Myoelectric Control. IEEE Journal of Translational Engineering in Health and Medicine. 8. 1–10. 8 indexed citations

16.

Lane, Matthew, et al.. (2020). Could the Houthis Be the Next Hizballah? Iranian Proxy Development in Yemen and the Future of the Houthi Movement. RAND Corporation eBooks. 11 indexed citations

17.

Williams, Heather E., Craig S. Chapman, Patrick M. Pilarski, Albert H. Vette, & Jacqueline S. Hebert. (2019). Gaze and Movement Assessment (GaMA): Inter-site validation of a visuomotor upper limb functional protocol. PLoS ONE. 14(12). e0219333–e0219333. 18 indexed citations

18.

Williams, Heather E., et al.. (2019). Hand Function Kinematics when using a Simulated Myoelectric Prosthesis. PubMed. 2019. 169–174. 9 indexed citations

19.

Schofield, Jonathon S., et al.. (2017). Characterization of interfacial socket pressure in transhumeral prostheses: A case series. PLoS ONE. 12(6). e0178517–e0178517. 13 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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