Dan Stashuk
Impact in
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Motor Control and Adaptation
- Biomedical Engineering top 10%
- Muscle activation and electromyography studies
- Advanced Sensor and Energy Harvesting Materials
Papers in
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- Muscle activation and electromyography studies 7
- Advanced Sensor and Energy Harvesting Materials 1
-
- Neuroscience and Neural Engineering 3
- Co-authors
- Robin Conwit (1 shared paper)E. Jeffrey Metter (1 shared paper)Mark B. Bromberg (1 shared paper)Michael Berger (1 shared paper)K. Ming Chan (1 shared paper)Michael Andary (1 shared paper)Clifton L. Gooch (1 shared paper)Jasper R. Daube (1 shared paper)
- Journals
- Muscle & Nerve (3 papers)Medicine & Science in Sports & Exercise (1 paper)Journal of Electromyography and Kinesiology (1 paper)Archives of Physical Medicine and Rehabilitation (1 paper)Physiological Reports (1 paper)
- Partner nations
- CanadaUnited StatesJapan
In The Last Decade
Dan Stashuk
8 papers receiving 543 citations
Peers
Comparison fields: 5 of 58
- Cognitive Neuroscience 190
- Biomedical Engineering 366
- Orthopedics and Sports Medicine 56
- Cellular and Molecular Neuroscience 102
- Neurology 31
Countries citing papers authored by Dan Stashuk
This map shows the geographic impact of Dan Stashuk'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 Dan Stashuk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Stashuk more than expected).
Fields of papers citing papers by Dan Stashuk
This network shows the impact of papers produced by Dan Stashuk. 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 Dan Stashuk. The network helps show where Dan Stashuk may publish in the future.
Co-authors
The 24 scholars most cited alongside Dan Stashuk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 216 | |
| 2 | 2014 | 104 | |
| 3 | 2016 | 94 | |
| 4 | 2002 | 67 | |
| 5 | 2000 | 24 | |
| 6 | 1998 | 24 | |
| 7 | 1997 | 22 | |
| 8 | 2013 | 7 |
About Dan Stashuk
Dan Stashuk is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Neurology and Psychiatry and Mental health, having authored 8 papers that have together received 558 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (7 papers), Neuroscience and Neural Engineering (3 papers), Motor Control and Adaptation (3 papers), Amyotrophic Lateral Sclerosis Research (1 paper), EEG and Brain-Computer Interfaces (1 paper), Cerebral Palsy and Movement Disorders (1 paper), Children's Physical and Motor Development (1 paper) and Advanced Sensor and Energy Harvesting Materials (1 paper). The work is most often cited by research in Cognitive Neuroscience (190 citations), Biomedical Engineering (366 citations), Orthopedics and Sports Medicine (56 citations), Cellular and Molecular Neuroscience (102 citations) and Neurology (31 citations). Dan Stashuk has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include Robin Conwit, E. Jeffrey Metter, Mark B. Bromberg, Michael Berger, K. Ming Chan, Michael Andary, Clifton L. Gooch, Jasper R. Daube, Richard A. Lewis and Timothy J. Doherty. Their work appears in journals such as Muscle & Nerve, Medicine & Science in Sports & Exercise, Journal of Electromyography and Kinesiology, Archives of Physical Medicine and Rehabilitation and Physiological Reports.
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.