John Nassour
Impact in
- Human-Computer Interaction top 10%
- Rehabilitation top 10%
- Stroke Rehabilitation and Recovery
Papers in
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- Soft Robotics and Applications 7
- Advanced Sensor and Energy Harvesting Materials 6
- Muscle activation and electromyography studies 6
- Prosthetics and Rehabilitation Robotics 6
- Robotic Locomotion and Control 6
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- Robot Manipulation and Learning 7
- Co-authors
- Gordon Cheng (13 shared papers)Fred H. Hamker (7 shared papers)Martin Grimmer (1 shared paper)Guoping Zhao (1 shared paper)Patrick Hénaff (1 shared paper)Heinrich Lang (1 shared paper)Vincent Hugel (1 shared paper)Shoubhik Debnath (2 shared papers)
In The Last Decade
John Nassour
20 papers receiving 282 citations
Peers
Comparison fields: 5 of 53
- Human-Computer Interaction 32
- Rehabilitation 34
- Biomedical Engineering 220
- Control and Systems Engineering 80
- Cognitive Neuroscience 59
Countries citing papers authored by John Nassour
This map shows the geographic impact of John Nassour'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 John Nassour with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Nassour more than expected).
Fields of papers citing papers by John Nassour
This network shows the impact of papers produced by John Nassour. 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 John Nassour. The network helps show where John Nassour may publish in the future.
Co-authors
The 14 scholars most cited alongside John Nassour, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 62 | |
| 2 | 2014 | 58 | |
| 3 | 2020 | 34 | |
| 4 | 2020 | 28 | |
| 5 | 2012 | 23 | |
| 6 | 2018 | 16 | |
| 7 | 2019 | 15 | |
| 8 | 2019 | 10 | |
| 9 | 2022 | 7 | |
| 10 | 2019 | 7 | |
| 11 | 2018 | 5 | |
| 12 | 2014 | 5 | |
| 13 | 2021 | 4 | |
| 14 | 2021 | 3 | |
| 15 | 2014 | 3 | |
| 16 | 2023 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2018 | 1 |
About John Nassour
John Nassour is a scholar working on Biomedical Engineering, Control and Systems Engineering, Cognitive Neuroscience, Rehabilitation and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 287 indexed citations. Recurring topics across this work include Soft Robotics and Applications (7 papers), Robot Manipulation and Learning (7 papers), Advanced Sensor and Energy Harvesting Materials (6 papers), Muscle activation and electromyography studies (6 papers), Prosthetics and Rehabilitation Robotics (6 papers), Robotic Locomotion and Control (6 papers), Zebrafish Biomedical Research Applications (3 papers) and Stroke Rehabilitation and Recovery (3 papers). The work is most often cited by research in Human-Computer Interaction (32 citations), Rehabilitation (34 citations), Biomedical Engineering (220 citations), Control and Systems Engineering (80 citations) and Cognitive Neuroscience (59 citations). John Nassour has collaborated with scholars based in Germany and France. Frequent co-authors include Gordon Cheng, Fred H. Hamker, Martin Grimmer, Guoping Zhao, Patrick Hénaff, Heinrich Lang, Vincent Hugel, Shoubhik Debnath, Stefan K. Ehrlich and Yuxiang Pan. Their work appears in journals such as Journal of NeuroEngineering and Rehabilitation, IEEE Transactions on Systems Man and Cybernetics Systems, Frontiers in Neurorobotics, IEEE Transactions on Neural Networks and Learning Systems and IEEE Sensors Journal.
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.