Jay L. Alberts

5.9k total citations
173 papers, 4.3k citations indexed

About

Jay L. Alberts is a scholar working on Neurology, Psychiatry and Mental health and Physical Therapy, Sports Therapy and Rehabilitation. According to data from OpenAlex, Jay L. Alberts has authored 173 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Neurology, 64 papers in Psychiatry and Mental health and 41 papers in Physical Therapy, Sports Therapy and Rehabilitation. Recurrent topics in Jay L. Alberts's work include Parkinson's Disease Mechanisms and Treatments (59 papers), Cerebral Palsy and Movement Disorders (57 papers) and Balance, Gait, and Falls Prevention (41 papers). Jay L. Alberts is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (59 papers), Cerebral Palsy and Movement Disorders (57 papers) and Balance, Gait, and Falls Prevention (41 papers). Jay L. Alberts collaborates with scholars based in United States, Germany and Slovakia. Jay L. Alberts's co-authors include Anson B. Rosenfeldt, Susan M. Linder, Jerrold L. Vitek, Claudia Voelcker‐Rehage, Steven L. Wolf, Mandy Miller Koop, Angela L. Ridgel, George E. Stelmach, Amanda L. Penko and Sarah J. Ozinga and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Jay L. Alberts

159 papers receiving 4.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jay L. Alberts United States 36 1.9k 1.1k 990 881 823 173 4.3k
Alessandro Picelli Italy 34 1.9k 1.0× 1.3k 1.1× 1.4k 1.4× 477 0.5× 288 0.3× 166 3.6k
Beth E. Fisher United States 27 2.0k 1.1× 1.4k 1.3× 2.1k 2.1× 962 1.1× 1.1k 1.3× 96 5.5k
Nancy N. Byl United States 43 1.3k 0.7× 604 0.5× 1.1k 1.1× 437 0.5× 993 1.2× 96 5.0k
Valerie M. Pomeroy United Kingdom 33 930 0.5× 1.1k 1.0× 2.4k 2.4× 584 0.7× 898 1.1× 108 4.0k
Graham Kerr Australia 35 1.4k 0.8× 1.2k 1.1× 295 0.3× 1.7k 1.9× 760 0.9× 141 5.1k
Eric Kerckhofs Belgium 32 1.0k 0.5× 1.2k 1.1× 782 0.8× 641 0.7× 512 0.6× 79 3.4k
A. Yelnik France 27 1.2k 0.6× 751 0.7× 1.0k 1.1× 850 1.0× 375 0.5× 103 3.0k
Maria Gabriella Ceravolo Italy 35 1.6k 0.9× 718 0.6× 783 0.8× 283 0.3× 612 0.7× 135 3.8k
Thomas A. Matyas Australia 37 2.1k 1.1× 2.0k 1.7× 1.6k 1.6× 1.7k 1.9× 1.2k 1.5× 88 5.3k
Yea‐Ru Yang Taiwan 37 852 0.4× 1.6k 1.4× 2.1k 2.2× 1.5k 1.7× 358 0.4× 102 4.1k

Countries citing papers authored by Jay L. Alberts

Since Specialization
Citations

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

Fields of papers citing papers by Jay L. Alberts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay L. Alberts. 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 Jay L. Alberts. The network helps show where Jay L. Alberts may publish in the future.

Co-authorship network of co-authors of Jay L. Alberts

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

All Works

20 of 20 papers shown
1.
Schlager, John B., et al.. (2025). Bioinspired Materials, Designs, and Manufacturing Strategies for Advanced Impact‐Resistant Helmets. Advanced Engineering Materials. 27(22).
2.
Rosenfeldt, Anson B., Amanda L. Penko, Eric Zimmerman, et al.. (2025). Refining Maximal Heart Rate Estimation to Enhance Exercise Recommendations for Persons With Parkinson Disease. Archives of Physical Medicine and Rehabilitation. 106(11). 1680–1684.
3.
4.
Baker, Kenneth B., et al.. (2025). Effects of augmented reality cueing strategies on freezing of gait: The ELIMINATE FoG trial. Clinical Parkinsonism & Related Disorders. 12. 100332–100332.
5.
Rosenfeldt, Anson B., et al.. (2024). An augmented reality dual-task intervention improves postural stability in individuals with Parkinson’s disease. Gait & Posture. 115. 102–108. 3 indexed citations
6.
Hinds, Sidney R., et al.. (2024). Explainable machine learning for predicting conversion to neurological disease: Results from 52,939 medical records. Digital Health. 10. 599892998–599892998. 4 indexed citations
7.
Alberts, Jay L., et al.. (2023). A Randomized Clinical Trial to Evaluate a Digital Therapeutic to Enhance Gait Function in Individuals With Parkinson’s Disease. Neurorehabilitation and neural repair. 37(9). 603–616. 8 indexed citations
8.
Chakraborty, Sounak, et al.. (2020). Functional modeling of pedaling kinematics for the Stroke patients. Journal of Biopharmaceutical Statistics. 30(4). 674–688. 2 indexed citations
9.
Koop, Mandy Miller, et al.. (2019). Kinematic Metrics from a Wireless Stylus Quantify Tremor and Bradykinesia in Parkinson’s Disease. Parkinson s Disease. 2019. 1–9. 7 indexed citations
10.
Penko, Amanda L., et al.. (2018). Dual-task Interference Disrupts Parkinson’s Gait Across Multiple Cognitive Domains. Neuroscience. 379. 375–382. 42 indexed citations
11.
Rao, Stephen M., Lyla Mourany, David Schindler, et al.. (2017). Processing speed test: Validation of a self-administered, iPad ® -based tool for screening cognitive dysfunction in a clinic setting. Multiple Sclerosis Journal. 23(14). 1929–1937. 117 indexed citations
12.
Alberts, Jay L., Anil K. Thota, Sarah J. Ozinga, et al.. (2015). Quantification of the Balance Error Scoring System with Mobile Technology. Medicine & Science in Sports & Exercise. 47(10). 2233–2240. 47 indexed citations
13.
Beall, Erik B., et al.. (2015). Exercise Therapy for Parkinson's Disease: Pedaling Rate Is Related to Changes in Motor Connectivity. Brain Connectivity. 6(1). 25–36. 59 indexed citations
14.
Rudick, Richard A., François Béthoux, Stephen M. Rao, et al.. (2014). The Multiple Sclerosis Performance Test (MSPT): An iPad-Based Disability Assessment Tool. Journal of Visualized Experiments. 23 indexed citations
15.
Ozinga, Sarah J. & Jay L. Alberts. (2014). Quantification of postural stability in older adults using mobile technology. Experimental Brain Research. 232(12). 3861–3872. 39 indexed citations
16.
Ringenbach, Shannon D. R., et al.. (2014). Acute Bouts of Assisted Cycling Improves Cognitive and Upper Extremity Movement Functions in Adolescents With Down Syndrome. Intellectual and developmental disabilities. 52(2). 124–135. 29 indexed citations
17.
Rudick, Richard A., Deborah Miller, François Béthoux, et al.. (2014). The Multiple Sclerosis Performance Test (MSPT): An iPad-Based Disability Assessment Tool. Journal of Visualized Experiments. e51318–e51318. 86 indexed citations
18.
Beall, Erik B., et al.. (2013). The Effect of Forced-Exercise Therapy for Parkinson's Disease on Motor Cortex Functional Connectivity. Brain Connectivity. 3(2). 190–198. 60 indexed citations
19.
Wu, Jennifer, Angela M. Noecker, Claudia Voelcker‐Rehage, et al.. (2010). Reversing cognitive–motor impairments in Parkinson’s disease patients using a computational modelling approach to deep brain stimulation programming. Brain. 133(3). 746–761. 183 indexed citations
20.
Alberts, Jay L., et al.. (2008). Bilateral subthalamic stimulation impairs cognitive-motor performance in Parkinson's disease patients. Brain. 131(12). 3348–3360. 99 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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