Nirav Sheth
Impact in
- Neurology top 1%
- Parkinson's Disease Mechanisms and Treatments
- Neurological disorders and treatments
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- Balance, Gait, and Falls Prevention
Papers in
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- Balance, Gait, and Falls Prevention 3
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- Advanced Sensor and Energy Harvesting Materials 3
- Co-authors
- Alexander J. Aranyosi (1 shared paper)Gaurav Sharma (1 shared paper)Karthik Dinesh (1 shared paper)Steven B. Goldenthal (1 shared paper)Christopher G. Tarolli (1 shared paper)Earl Ray Dorsey (1 shared paper)Jamie Adams (1 shared paper)Saloni Sharma (1 shared paper)
- Journals
- npj Digital Medicine (2 papers)PLoS ONE (2 papers)Extreme Mechanics Letters (1 paper)Parkinsonism & Related Disorders (1 paper)PubMed (3 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Nirav Sheth
10 papers receiving 3.3k citations
Nirav Sheth's Hit Papers
Peers
Comparison fields: 5 of 124
- Neurology 1.5k
- Physical Therapy, Sports Therapy and Rehabilitation 403
- Cellular and Molecular Neuroscience 486
- Psychiatry and Mental health 282
- Neurology 151
Countries citing papers authored by Nirav Sheth
This map shows the geographic impact of Nirav Sheth'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 Nirav Sheth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nirav Sheth more than expected).
Fields of papers citing papers by Nirav Sheth
This network shows the impact of papers produced by Nirav Sheth. 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 Nirav Sheth. The network helps show where Nirav Sheth may publish in the future.
Co-authors
The 25 scholars most cited alongside Nirav Sheth, 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 | Multiple Wearable Sensors in Parkinson and Huntington Disease Individuals: A Pilot Study in Clinic and at Home Hit paper breakdown → | 2017 | 2646 |
| 2 | 2018 | 192 | |
| 3 | 2017 | 115 | |
| 4 | 2017 | 74 | |
| 5 | 2018 | 65 | |
| 6 | 2018 | 59 | |
| 7 | 2015 | 50 | |
| 8 | 2019 | 50 | |
| 9 | 2018 | 39 | |
| 10 | 2016 | 3 |
About Nirav Sheth
Nirav Sheth is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Biomedical Engineering, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Applied Psychology, having authored 10 papers that have together received 3.3k indexed citations. Recurring topics across this work include Balance, Gait, and Falls Prevention (3 papers), Advanced Sensor and Energy Harvesting Materials (3 papers), Mobile Health and mHealth Applications (2 papers), Multiple Sclerosis Research Studies (1 paper), Parkinson's Disease Mechanisms and Treatments (1 paper), Neuroscience and Neural Engineering (1 paper), Genetic Neurodegenerative Diseases (1 paper) and ECG Monitoring and Analysis (1 paper). The work is most often cited by research in Neurology (1.5k citations), Physical Therapy, Sports Therapy and Rehabilitation (403 citations), Cellular and Molecular Neuroscience (486 citations), Psychiatry and Mental health (282 citations) and Neurology (151 citations). Nirav Sheth has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Alexander J. Aranyosi, Gaurav Sharma, Karthik Dinesh, Steven B. Goldenthal, Christopher G. Tarolli, Earl Ray Dorsey, Jamie Adams, Saloni Sharma, William Y. Zhu and Kevin Biglan. Their work appears in journals such as npj Digital Medicine, PLoS ONE, Extreme Mechanics Letters, Parkinsonism & Related Disorders and PubMed.
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.