Kevin Nathan
Impact in
- Rehabilitation top 5%
- Stroke Rehabilitation and Recovery
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
Papers in
-
- EEG and Brain-Computer Interfaces 8
- Neural dynamics and brain function 1
-
- Muscle activation and electromyography studies 6
- Co-authors
- José L. Contreras-Vidal (9 shared papers)Yongtian He (6 shared papers)Sho Nakagome (4 shared papers)José L. Pons (3 shared papers)Fangshi Zhu (3 shared papers)Nikunj Bhagat (2 shared papers)Jesús G. Cruz-Garza (2 shared papers)Justin Brantley (2 shared papers)
- Journals
- Frontiers in Human Neuroscience (2 papers)IEEE Open Journal of Engineering in Medicine and Biology (1 paper)American Journal of Physical Medicine & Rehabilitation (1 paper)Journal of Neural Engineering (1 paper)Scientific Data (1 paper)
- Partner nations
- United StatesSpainNetherlands
In The Last Decade
Kevin Nathan
10 papers receiving 383 citations
Peers
Comparison fields: 5 of 44
- Rehabilitation 135
- Cognitive Neuroscience 220
- Biomedical Engineering 253
- Physical Therapy, Sports Therapy and Rehabilitation 23
- Human-Computer Interaction 27
Countries citing papers authored by Kevin Nathan
This map shows the geographic impact of Kevin Nathan'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 Kevin Nathan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Nathan more than expected).
Fields of papers citing papers by Kevin Nathan
This network shows the impact of papers produced by Kevin Nathan. 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 Kevin Nathan. The network helps show where Kevin Nathan may publish in the future.
Co-authors
The 25 scholars most cited alongside Kevin Nathan, 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 | 2016 | 142 | |
| 2 | 2016 | 99 | |
| 3 | 2014 | 50 | |
| 4 | 2018 | 31 | |
| 5 | 2018 | 27 | |
| 6 | 2016 | 19 | |
| 7 | 2017 | 10 | |
| 8 | 2021 | 6 | |
| 9 | 2024 | 4 | |
| 10 | 2017 | 1 |
About Kevin Nathan
Kevin Nathan is a scholar working on Cognitive Neuroscience, Biomedical Engineering, Cellular and Molecular Neuroscience, Rehabilitation and Pathology and Forensic Medicine, having authored 10 papers that have together received 389 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (8 papers), Muscle activation and electromyography studies (6 papers), Neuroscience and Neural Engineering (4 papers), Stroke Rehabilitation and Recovery (2 papers), Gaze Tracking and Assistive Technology (1 paper), Heart Rate Variability and Autonomic Control (1 paper), Neural dynamics and brain function (1 paper) and Balance, Gait, and Falls Prevention (1 paper). The work is most often cited by research in Rehabilitation (135 citations), Cognitive Neuroscience (220 citations), Biomedical Engineering (253 citations), Physical Therapy, Sports Therapy and Rehabilitation (23 citations) and Human-Computer Interaction (27 citations). Kevin Nathan has collaborated with scholars based in United States, Spain and Netherlands. Frequent co-authors include José L. Contreras-Vidal, Yongtian He, Sho Nakagome, José L. Pons, Fangshi Zhu, Nikunj Bhagat, Jesús G. Cruz-Garza, Justin Brantley, Trieu Phat Luu and Gerard E. Francisco. Their work appears in journals such as Frontiers in Human Neuroscience, IEEE Open Journal of Engineering in Medicine and Biology, American Journal of Physical Medicine & Rehabilitation, Journal of Neural Engineering and Scientific Data.
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.