Chad G. Rose
- Rehabilitation top 2%
- Stroke Rehabilitation and Recovery 19
- Biomedical Engineering top 10%
- Muscle activation and electromyography studies 18
- Prosthetics and Rehabilitation Robotics 5
-
- EEG and Brain-Computer Interfaces 5
-
- Botulinum Toxin and Related Neurological Disorders 5
-
- Robot Manipulation and Learning 6
-
- Teleoperation and Haptic Systems 5
-
- Manufacturing Process and Optimization 3
- Co-authors
- Marcia K. O’MalleyAshish D. DeshpandeEvan PezentJames A. FrenchAli Utku PehlivanDylan P. LoseyJeremy D. BrownRobert K. Lee
- Journals
- SAE technical papers on CD-ROM/SAE technical paper series (1 paper)IEEE Transactions on Neural Systems and Rehabilitation Engineering (1 paper)IEEE Robotics and Automation Letters (1 paper)
- Partner nations
- United StatesGermanySweden
In The Last Decade
Chad G. Rose
30 papers receiving 366 citations
Peers
Comparison fields: 5 of 39
- Rehabilitation 259
- Biomedical Engineering 289
- Cognitive Neuroscience 91
- Neurology 56
- Human-Computer Interaction 14
Countries citing papers authored by Chad G. Rose
This map shows the geographic impact of Chad G. Rose'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 Chad G. Rose with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chad G. Rose more than expected).
Fields of papers citing papers by Chad G. Rose
This network shows the impact of papers produced by Chad G. Rose. 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 Chad G. Rose. The network helps show where Chad G. Rose may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chad G. Rose, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 3 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 1 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 0 | |
| 11 | 2023 | 1 | |
| 12 | 2022 | 9 | |
| 13 | 2021 | 1 | |
| 14 | 2018 | 99 | |
| 15 | 2018 | 25 | |
| 16 | 2018 | 5 | |
| 17 | 2017 | 59 | |
| 18 | 2017 | 2 | |
| 19 | 2017 | 3 | |
| 20 | 2015 | 13 |
About Chad G. Rose
Chad G. Rose is a scholar working on Rehabilitation, Human-Computer Interaction and Family Practice, having authored 37 papers that have together received 372 indexed citations. Recurring topics across this work include Stroke Rehabilitation and Recovery (19 papers), Muscle activation and electromyography studies (18 papers), Robot Manipulation and Learning (6 papers), Botulinum Toxin and Related Neurological Disorders (5 papers), Teleoperation and Haptic Systems (5 papers), EEG and Brain-Computer Interfaces (5 papers), Prosthetics and Rehabilitation Robotics (5 papers) and Manufacturing Process and Optimization (3 papers). The work is most often cited by research in Rehabilitation (259 citations), Biomedical Engineering (289 citations) and Cognitive Neuroscience (91 citations). Chad G. Rose has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Marcia K. O’Malley, Ashish D. Deshpande, Evan Pezent, James A. French, Ali Utku Pehlivan, Dylan P. Losey, Jeremy D. Brown, Robert K. Lee, Fabrizio Sergi and Kevin Warburton. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, IEEE Transactions on Neural Systems and Rehabilitation 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.