Phil Snyder

993 total citations
3 papers, 55 citations indexed

About

Phil Snyder is a scholar working on Neurology, Cognitive Neuroscience and Signal Processing. According to data from OpenAlex, Phil Snyder has authored 3 papers receiving a total of 55 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Neurology, 1 paper in Cognitive Neuroscience and 1 paper in Signal Processing. Recurrent topics in Phil Snyder's work include Neurological disorders and treatments (1 paper), Digital Mental Health Interventions (1 paper) and Parkinson's Disease Mechanisms and Treatments (1 paper). Phil Snyder is often cited by papers focused on Neurological disorders and treatments (1 paper), Digital Mental Health Interventions (1 paper) and Parkinson's Disease Mechanisms and Treatments (1 paper). Phil Snyder collaborates with scholars based in United States and United Kingdom. Phil Snyder's co-authors include Thanneer M. Perumal, Larsson Omberg, Andrew D. Trister, Stephen Friend, Abhishek Pratap, Elias Chaibub Neto, Lara M. Mangravite, Brian M. Bot and E. Ray Dorsey and has published in prestigious journals such as npj Digital Medicine and The Journal of Open Source Software.

In The Last Decade

Phil Snyder

3 papers receiving 55 citations

Peers

Phil Snyder
R. Zou Sweden
Bethany L. Bartley United States
James Liley United Kingdom
Phil Snyder
Citations per year, relative to Phil Snyder Phil Snyder (= 1×) peers Fernando Villalba-Meneses

Countries citing papers authored by Phil Snyder

Since Specialization
Citations

This map shows the geographic impact of Phil Snyder'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 Phil Snyder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phil Snyder more than expected).

Fields of papers citing papers by Phil Snyder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phil Snyder. 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 Phil Snyder. The network helps show where Phil Snyder may publish in the future.

Co-authorship network of co-authors of Phil Snyder

This figure shows the co-authorship network connecting the top 25 collaborators of Phil Snyder. A scholar is included among the top collaborators of Phil Snyder 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 Phil Snyder. Phil Snyder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

3 of 3 papers shown
1.
Snyder, Phil, et al.. (2020). mhealthtools: A Modular R Package for Extracting Features from Mobile and Wearable Sensor Data. The Journal of Open Source Software. 5(47). 2106–2106. 7 indexed citations
2.
Neto, Elias Chaibub, Abhishek Pratap, Thanneer M. Perumal, et al.. (2019). Detecting the impact of subject characteristics on machine learning-based diagnostic applications. npj Digital Medicine. 2(1). 99–99. 46 indexed citations
3.
Perumal, Thanneer M., Phil Snyder, Elias Chaibub Neto, et al.. (2018). Remote Assessment, in Real-World Setting, of Tremor Severity in Parkinson's Disease Patients Using Smartphone Inertial Sensors. 215–218. 2 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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2026