Heather E. Williams

433 citations
19 papers · 254 · h-index 10

Impact in

Papers in

    • Muscle activation and electromyography studies 17
    • Prosthetics and Rehabilitation Robotics 6
    • Advanced Sensor and Energy Harvesting Materials 4
    • EEG and Brain-Computer Interfaces 6
    • Motor Control and Adaptation 3

Heather E. Williams

16 papers receiving 244 citations

Peers

Heather E. Williams
Comparison fields: 5 of 56
  • Cognitive Neuroscience 115
  • Human-Computer Interaction 29
  • Rehabilitation 35
  • Cellular and Molecular Neuroscience 85
  • Biomedical Engineering 189
Replace Marian-Silviu Poboroniuc with:
Marian-Silviu Poboroniuc Romania
Aaron Fleming United States
Ahmed W. Shehata Canada
Susannah Engdahl United States
Matthew R. Williams United States
V. Ilić Serbia
Peter Michael Goebel Austria
Christian Klauer Germany
Maria Hakonen Finland
Roni O. Maimon-Mor United Kingdom
Heather E. Williams relative to Marian-Silviu Poboroniuc Romania Marian-Silviu Poboroniuc's profile →
Citations per field
00.5×
Marian-Silviu Poboroniuc · 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 202190
2 202234
3 202123
4 201918
5 202116
6 201713
7 202011
8 202111
9 202211
10 20199
11 20208
12 20224
13 20233
14 20251
15 20241
16 20241
17 20250
18 20250
19 20250

About Heather E. Williams

Heather E. Williams is a scholar working on Biomedical Engineering, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Rehabilitation and Political Science and International Relations, having authored 19 papers that have together received 254 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (17 papers), Neuroscience and Neural Engineering (8 papers), EEG and Brain-Computer Interfaces (6 papers), Prosthetics and Rehabilitation Robotics (6 papers), Advanced Sensor and Energy Harvesting Materials (4 papers), Motor Control and Adaptation (3 papers), Stroke Rehabilitation and Recovery (3 papers) and Middle East and Rwanda Conflicts (1 paper). The work is most often cited by research in Cognitive Neuroscience (115 citations), Human-Computer Interaction (29 citations), Rehabilitation (35 citations), Cellular and Molecular Neuroscience (85 citations) and Biomedical Engineering (189 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, Jonathon W. Sensinger, Dylan T. Beckler, Zachary C. Thumser, Albert H. Vette, Craig S. Chapman and Erik Scheme. Their work appears in journals such as PLoS ONE, Journal of NeuroEngineering and Rehabilitation, IEEE Transactions on Biomedical Engineering, IEEE Signal Processing Magazine and Biomedical Signal Processing and Control.

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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