Heather E. Williams

444 citations
19 papers · 266 · h-index 10

Impact in

Papers in

    • Muscle activation and electromyography studies 16
    • Prosthetics and Rehabilitation Robotics 5
    • Advanced Sensor and Energy Harvesting Materials 3
    • EEG and Brain-Computer Interfaces 6
    • Motor Control and Adaptation 2

Heather E. Williams

18 papers receiving 258 citations

Peers

Heather E. Williams
Comparison fields: 5 of 58
  • Cognitive Neuroscience 102
  • Human-Computer Interaction 26
  • Rehabilitation 28
  • Biomedical Engineering 192
  • Cellular and Molecular Neuroscience 75
Replace Brian M. Kelly with:
Brian M. Kelly United States
Maria Hakonen Finland
Jan Zbinden Sweden
Susannah Engdahl United States
Ahmed W. Shehata Canada
Aaron Fleming United States
Matthew R. Williams United States
Peter Michael Goebel Austria
Benjamin Stephens-Fripp Australia
Kristi L. Turner United States
Heather E. Williams relative to Brian M. Kelly United States Brian M. Kelly's profile →
Citations per field
00.5×4.4×
Brian M. Kelly · 1×
Citations per year

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-authors

The 22 scholars most cited alongside Heather E. Williams, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Heather E. Williams Line = papers co-authored together Heather E. Williams links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 202193
2 202235
3 202124
4 201918
5 202117
6 202114
7 201713
8 202211
9 202011
10 20199
11 20208
12 20224
13 20233
14 20242
15 20251
16 20251
17 20241
18 20251
19 20250

About Heather E. Williams

Heather E. Williams is a scholar working on Biomedical Engineering, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Political Science and International Relations and Rehabilitation, having authored 19 papers that have together received 266 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (16 papers), Neuroscience and Neural Engineering (6 papers), EEG and Brain-Computer Interfaces (6 papers), Prosthetics and Rehabilitation Robotics (5 papers), Advanced Sensor and Energy Harvesting Materials (3 papers), Motor Control and Adaptation (2 papers), Hand Gesture Recognition Systems (1 paper) and Middle East and Rwanda Conflicts (1 paper). The work is most often cited by research in Cognitive Neuroscience (102 citations), Human-Computer Interaction (26 citations), Rehabilitation (28 citations), Biomedical Engineering (192 citations) and Cellular and Molecular Neuroscience (75 citations). Heather E. Williams has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include Jacqueline S. Hebert, Ahmed W. Shehata, Patrick M. Pilarski, Paul D. Marasco, Dylan T. Beckler, Jonathon W. Sensinger, Zachary C. Thumser, Albert H. Vette, Craig S. Chapman and Michael R. Dawson. Their work appears in journals such as PLoS ONE, Journal of NeuroEngineering and Rehabilitation, The Washington Quarterly, IEEE Signal Processing Magazine and IEEE Transactions on Neural Systems and Rehabilitation Engineering.

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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