Eric M. Schearer
Impact in
- Rehabilitation top 5%
- Stroke Rehabilitation and Recovery
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Motor Control and Adaptation
Papers in
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- Muscle activation and electromyography studies 25
-
- EEG and Brain-Computer Interfaces 15
- Motor Control and Adaptation 4
- Co-authors
- Marcia K. O’Malley (5 shared papers)Matthew C. Tresch (8 shared papers)Eric J. Perreault (8 shared papers)Kevin Lynch (8 shared papers)Yu-Wei Liao (6 shared papers)William D. Memberg (5 shared papers)Robert F. Kirsch (5 shared papers)Craig G. McDonald (1 shared paper)
- Journals
- IEEE Transactions on Neural Systems and Rehabilitation Engineering (5 papers)Experimental Neurology (1 paper)IEEE Transactions on Education (1 paper)Journal of Neural Engineering (1 paper)IEEE Robotics and Automation Letters (1 paper)
- Partner nations
- United StatesItalyChina
In The Last Decade
Eric M. Schearer
30 papers receiving 260 citations
Peers
Comparison fields: 5 of 40
- Rehabilitation 127
- Cognitive Neuroscience 115
- Biomedical Engineering 194
- Cellular and Molecular Neuroscience 61
- Pathology and Forensic Medicine 49
Countries citing papers authored by Eric M. Schearer
This map shows the geographic impact of Eric M. Schearer'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 Eric M. Schearer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric M. Schearer more than expected).
Fields of papers citing papers by Eric M. Schearer
This network shows the impact of papers produced by Eric M. Schearer. 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 Eric M. Schearer. The network helps show where Eric M. Schearer may publish in the future.
Co-authors
The 13 scholars most cited alongside Eric M. Schearer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 38 | |
| 2 | 2013 | 31 | |
| 3 | 2016 | 20 | |
| 4 | 2018 | 18 | |
| 5 | 2018 | 17 | |
| 6 | 2023 | 15 | |
| 7 | 2017 | 13 | |
| 8 | 2022 | 12 | |
| 9 | 2020 | 11 | |
| 10 | 2012 | 10 | |
| 11 | 2017 | 9 | |
| 12 | 2015 | 7 | |
| 13 | 2024 | 7 | |
| 14 | 2012 | 7 | |
| 15 | 2014 | 7 | |
| 16 | 2013 | 6 | |
| 17 | 2022 | 6 | |
| 18 | 2019 | 5 | |
| 19 | 2023 | 4 | |
| 20 | 2022 | 4 |
About Eric M. Schearer
Eric M. Schearer is a scholar working on Biomedical Engineering, Cognitive Neuroscience, Rehabilitation, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience, having authored 32 papers that have together received 263 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (25 papers), EEG and Brain-Computer Interfaces (15 papers), Stroke Rehabilitation and Recovery (10 papers), Neuroscience and Neural Engineering (7 papers), Spinal Cord Injury Research (7 papers), Motor Control and Adaptation (4 papers), Gaze Tracking and Assistive Technology (2 papers) and Disability Education and Employment (2 papers). The work is most often cited by research in Rehabilitation (127 citations), Cognitive Neuroscience (115 citations), Biomedical Engineering (194 citations), Cellular and Molecular Neuroscience (61 citations) and Pathology and Forensic Medicine (49 citations). Eric M. Schearer has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Marcia K. O’Malley, Matthew C. Tresch, Eric J. Perreault, Kevin Lynch, Yu-Wei Liao, William D. Memberg, Robert F. Kirsch, Craig G. McDonald, Hongkai Yu and John R. Schultz. Their work appears in journals such as IEEE Transactions on Neural Systems and Rehabilitation Engineering, Experimental Neurology, IEEE Transactions on Education, Journal of Neural Engineering and IEEE Robotics and Automation Letters.
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.