Nirav Sheth

4.0k total citations · 1 hit paper
9 papers, 3.0k citations indexed

About

Nirav Sheth is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Biomedical Engineering and Pathology and Forensic Medicine. According to data from OpenAlex, Nirav Sheth has authored 9 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Physical Therapy, Sports Therapy and Rehabilitation, 4 papers in Biomedical Engineering and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Nirav Sheth's work include Balance, Gait, and Falls Prevention (4 papers), Wireless Body Area Networks (2 papers) and Multiple Sclerosis Research Studies (2 papers). Nirav Sheth is often cited by papers focused on Balance, Gait, and Falls Prevention (4 papers), Wireless Body Area Networks (2 papers) and Multiple Sclerosis Research Studies (2 papers). Nirav Sheth collaborates with scholars based in United States, United Kingdom and China. Nirav Sheth's co-authors include Alexander J. Aranyosi, Karthik Dinesh, Kevin Biglan, Christopher G. Tarolli, Gaurav Sharma, William Zhu, Jamie Adams, Mulin Xiong, Saloni Sharma and E. Ray Dorsey and has published in prestigious journals such as PLoS ONE, Parkinsonism & Related Disorders and npj Digital Medicine.

In The Last Decade

Nirav Sheth

9 papers receiving 3.0k citations

Hit Papers

Multiple Wearable Sensors in Parkinson and Huntington Dis... 2017 2026 2020 2023 2017 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nirav Sheth United States 9 1.8k 533 529 481 463 9 3.0k
Christopher G. Tarolli United States 16 2.2k 1.2× 603 1.1× 589 1.1× 460 1.0× 525 1.1× 36 3.3k
Jamie Adams United States 16 2.1k 1.2× 576 1.1× 603 1.1× 458 1.0× 502 1.1× 38 3.2k
Mulin Xiong United States 9 1.8k 1.0× 541 1.0× 515 1.0× 394 0.8× 433 0.9× 15 2.8k
Saloni Sharma United States 20 2.1k 1.2× 571 1.1× 571 1.1× 430 0.9× 689 1.5× 65 3.6k
William Zhu United States 10 1.8k 1.0× 524 1.0× 494 0.9× 386 0.8× 430 0.9× 17 2.7k
Steven Goldenthal United States 6 1.8k 1.0× 529 1.0× 502 0.9× 386 0.8× 408 0.9× 11 2.6k
Mandar Jog Canada 30 2.3k 1.3× 1.1k 2.0× 660 1.2× 558 1.2× 993 2.1× 206 4.4k
Roongroj Bhidayasiri Thailand 33 3.0k 1.7× 874 1.6× 550 1.0× 248 0.5× 395 0.9× 222 4.0k
Tien K. Khoo Australia 33 3.1k 1.8× 642 1.2× 736 1.4× 380 0.8× 774 1.7× 69 4.2k
Georg Ebersbach Germany 34 2.9k 1.6× 552 1.0× 994 1.9× 745 1.5× 675 1.5× 140 4.1k

Countries citing papers authored by Nirav Sheth

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Nirav Sheth

This figure shows the co-authorship network connecting the top 25 collaborators of Nirav Sheth. A scholar is included among the top collaborators of Nirav Sheth based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nirav Sheth. Nirav Sheth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Bakker, Jessie P., Jennifer C. Goldsack, Mike Clarke, et al.. (2019). A systematic review of feasibility studies promoting the use of mobile technologies in clinical research. npj Digital Medicine. 2(1). 47–47. 42 indexed citations
2.
Boroojerdi, Babak, Roozbeh Ghaffari, Nikhil Mahadevan, et al.. (2018). Clinical feasibility of a wearable, conformable sensor patch to monitor motor symptoms in Parkinson's disease. Parkinsonism & Related Disorders. 61. 70–76. 30 indexed citations
3.
Perry, Brian, William G. Herrington, Jennifer C. Goldsack, et al.. (2018). Use of Mobile Devices to Measure Outcomes in Clinical Research, 2010–2016: A Systematic Literature Review. PubMed. 2(1). 11–30. 56 indexed citations
4.
Sun, Ruopeng, Yaejin Moon, Ryan S. McGinnis, et al.. (2018). Assessment of Postural Sway in Individuals with Multiple Sclerosis Using a Novel Wearable Inertial Sensor. PubMed. 2(1). 1–10. 54 indexed citations
5.
Lee, Stephen P., Yinji Ma, Ellora Sen-Gupta, et al.. (2018). Highly flexible, wearable, and disposable cardiac biosensors for remote and ambulatory monitoring. npj Digital Medicine. 1(1). 2–2. 170 indexed citations
6.
Moon, Yaejin, Ryan S. McGinnis, Kirsten Seagers, et al.. (2017). Monitoring gait in multiple sclerosis with novel wearable motion sensors. PLoS ONE. 12(2). e0171346–e0171346. 105 indexed citations
7.
Adams, Jamie, Karthik Dinesh, Mulin Xiong, et al.. (2017). Multiple Wearable Sensors in Parkinson and Huntington Disease Individuals: A Pilot Study in Clinic and at Home. PubMed. 1(1). 52–63. 2449 indexed citations breakdown →
8.
McGinnis, Ryan S., Nikhil Mahadevan, Yaejin Moon, et al.. (2017). A machine learning approach for gait speed estimation using skin-mounted wearable sensors: From healthy controls to individuals with multiple sclerosis. PLoS ONE. 12(6). e0178366–e0178366. 74 indexed citations
9.
Klinker, Lauren, Stephen P. Lee, John A. Wright, et al.. (2015). Balloon catheters with integrated stretchable electronics for electrical stimulation, ablation and blood flow monitoring. Extreme Mechanics Letters. 3. 45–54. 43 indexed citations

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.

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