Narayan Schütz
Impact in
-
- Balance, Gait, and Falls Prevention
- Rehabilitation top 10%
- Stroke Rehabilitation and Recovery
Papers in
-
- Context-Aware Activity Recognition Systems 12
- Co-authors
- Tobias Nef (23 shared papers)Prabitha Urwyler (11 shared papers)Hugo Saner (16 shared papers)René M. Müri (8 shared papers)Daniel Gática-Pérez (4 shared papers)Valérie Santschi (6 shared papers)Stephan M. Gerber (8 shared papers)Urs P. Mosimann (3 shared papers)
- Journals
- Sensors (3 papers)JMIR Serious Games (2 papers)Scientific Reports (1 paper)JMIR mhealth and uhealth (1 paper)Journal of Sleep Research (1 paper)
- Partner nations
- SwitzerlandUnited StatesRussia
In The Last Decade
Narayan Schütz
26 papers receiving 299 citations
Peers
Comparison fields: 5 of 77
- Physical Therapy, Sports Therapy and Rehabilitation 30
- Rehabilitation 37
- Neuropsychology and Physiological Psychology 6
- Geriatrics and Gerontology 14
- Psychiatry and Mental health 49
Countries citing papers authored by Narayan Schütz
This map shows the geographic impact of Narayan Schütz'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 Narayan Schütz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Narayan Schütz more than expected).
Fields of papers citing papers by Narayan Schütz
This network shows the impact of papers produced by Narayan Schütz. 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 Narayan Schütz. The network helps show where Narayan Schütz may publish in the future.
Co-authors
The 25 scholars most cited alongside Narayan Schütz, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 37 | |
| 2 | 2019 | 31 | |
| 3 | 2020 | 28 | |
| 4 | 2020 | 25 | |
| 5 | 2019 | 24 | |
| 6 | 2021 | 22 | |
| 7 | 2020 | 21 | |
| 8 | 2020 | 16 | |
| 9 | 2019 | 15 | |
| 10 | 2022 | 13 | |
| 11 | 2021 | 13 | |
| 12 | 2016 | 13 | |
| 13 | 2021 | 8 | |
| 14 | 2018 | 7 | |
| 15 | 2021 | 6 | |
| 16 | 2019 | 5 | |
| 17 | 2020 | 4 | |
| 18 | 2023 | 3 | |
| 19 | 2022 | 3 | |
| 20 | 2024 | 2 |
About Narayan Schütz
Narayan Schütz is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Physiology, Neurology and General Health Professions, having authored 30 papers that have together received 304 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (12 papers), Mobile Health and mHealth Applications (4 papers), Technology Use by Older Adults (4 papers), Neurological disorders and treatments (3 papers), Balance, Gait, and Falls Prevention (3 papers), Non-Invasive Vital Sign Monitoring (3 papers), Physical Activity and Health (3 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (30 citations), Rehabilitation (37 citations), Neuropsychology and Physiological Psychology (6 citations), Geriatrics and Gerontology (14 citations) and Psychiatry and Mental health (49 citations). Narayan Schütz has collaborated with scholars based in Switzerland, United States and Russia. Frequent co-authors include Tobias Nef, Prabitha Urwyler, Hugo Saner, René M. Müri, Daniel Gática-Pérez, Valérie Santschi, Stephan M. Gerber, Urs P. Mosimann, Alexander Leichtle and Tim Vanbellingen. Their work appears in journals such as Sensors, JMIR Serious Games, Scientific Reports, JMIR mhealth and uhealth and Journal of Sleep Research.
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.