Samuel Stuart

3.5k total citations
112 papers, 2.1k citations indexed

About

Samuel Stuart is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Biomedical Engineering and Neurology. According to data from OpenAlex, Samuel Stuart has authored 112 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Physical Therapy, Sports Therapy and Rehabilitation, 33 papers in Biomedical Engineering and 27 papers in Neurology. Recurrent topics in Samuel Stuart's work include Balance, Gait, and Falls Prevention (61 papers), Cerebral Palsy and Movement Disorders (23 papers) and Traumatic Brain Injury Research (19 papers). Samuel Stuart is often cited by papers focused on Balance, Gait, and Falls Prevention (61 papers), Cerebral Palsy and Movement Disorders (23 papers) and Traumatic Brain Injury Research (19 papers). Samuel Stuart collaborates with scholars based in United Kingdom, United States and Canada. Samuel Stuart's co-authors include Martina Mancini, Alan Godfrey, Rodrigo Vitório, Lynn Rochester, Rosie Morris, Peter C. Fino, Lisa Alcock, Carolin Curtze, Wai Lok Woo and Annette Pantall and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Samuel Stuart

102 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samuel Stuart United Kingdom 27 867 661 586 426 393 112 2.1k
Lisa Alcock United Kingdom 24 791 0.9× 390 0.6× 500 0.9× 512 1.2× 203 0.5× 59 1.6k
Jasmine C. Menant Australia 29 2.0k 2.3× 612 0.9× 343 0.6× 1.3k 2.9× 273 0.7× 86 3.2k
Inbal Maidan Israel 26 1.6k 1.8× 889 1.3× 1.0k 1.7× 975 2.3× 755 1.9× 65 3.4k
Shmuel Springer Israel 15 1.3k 1.5× 545 0.8× 502 0.9× 1.0k 2.4× 344 0.9× 60 2.3k
Steven Morrison United States 35 1.4k 1.6× 1.0k 1.5× 571 1.0× 932 2.2× 483 1.2× 124 3.6k
Lutz Schega Germany 25 639 0.7× 519 0.8× 124 0.2× 374 0.9× 402 1.0× 84 2.3k
Patrick J. Sparto United States 39 1.3k 1.5× 960 1.5× 429 0.7× 747 1.8× 694 1.8× 141 4.4k
Henning Stolze Germany 26 727 0.8× 468 0.7× 1.2k 2.0× 768 1.8× 357 0.9× 47 2.7k
Arun Jayaraman United States 33 424 0.5× 1.5k 2.3× 314 0.5× 626 1.5× 284 0.7× 129 3.5k
Barbara M. Myklebust United States 20 1.5k 1.7× 689 1.0× 401 0.7× 908 2.1× 488 1.2× 32 2.9k

Countries citing papers authored by Samuel Stuart

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Stuart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel Stuart

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel Stuart. A scholar is included among the top collaborators of Samuel Stuart 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 Samuel Stuart. Samuel Stuart 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.
2.
Vitório, Rodrigo, Richard Walker, Gill Barry, et al.. (2024). Digital Eye-Movement Outcomes (DEMOs) as Biomarkers for Neurological Conditions: A Narrative Review. Big Data and Cognitive Computing. 8(12). 198–198. 1 indexed citations
3.
Çelik, Yunus, Samuel Stuart, Peter McMeekin, et al.. (2024). Using Video Technology and AI within Parkinson’s Disease Free-Living Fall Risk Assessment. Sensors. 24(15). 4914–4914. 4 indexed citations
4.
McMeekin, Peter, Richard Walker, Rosie Morris, et al.. (2024). Contextualizing remote fall risk: Video data capture and implementing ethical AI. npj Digital Medicine. 7(1). 61–61. 3 indexed citations
5.
Martini, Douglas N., Martina Mancini, Paul McDonnell, et al.. (2024). Prefrontal Cortex Activity During Gait in People With Persistent Symptoms After Concussion. Neurorehabilitation and neural repair. 38(5). 364–372. 5 indexed citations
6.
Çelik, Yunus, et al.. (2023). Gait on the Edge: A Proposed Wearable for Continuous Real-Time Monitoring Beyond the Laboratory. IEEE Sensors Journal. 23(23). 29656–29666. 1 indexed citations
7.
Morris, Rosie, et al.. (2023). Internet-of-Things-Enabled Markerless Running Gait Assessment from a Single Smartphone Camera. Sensors. 23(2). 696–696. 10 indexed citations
8.
Stuart, Samuel, et al.. (2023). Better informing everyday fall risk assessment: experimental studies with contemporary technologies. The Lancet. 402. S6–S6. 1 indexed citations
9.
Morris, Rosie, et al.. (2023). IoT-Enabled Gait Assessment: The Next Step for Habitual Monitoring. Sensors. 23(8). 4100–4100. 7 indexed citations
10.
Vitório, Rodrigo, Gill Barry, Alan Godfrey, et al.. (2023). Visual Exploration While Walking With and Without Visual Cues in Parkinson’s Disease: Freezer Versus Non-Freezer. Neurorehabilitation and neural repair. 37(10). 734–743. 8 indexed citations
11.
Stuart, Samuel, Peter McMeekin, Richard Walker, et al.. (2023). Toward enhanced free-living fall risk assessment: Data mining and deep learning for environment and terrain classification. Intelligence-Based Medicine. 8. 100103–100103. 2 indexed citations
12.
Barry, Gill, et al.. (2023). Validity and reliability of the DANU sports system for walking and running gait assessment. Physiological Measurement. 44(11). 115001–115001. 4 indexed citations
13.
Morris, Rosie, et al.. (2023). Combination of Clinical and Gait Measures to Classify Fallers and Non-Fallers in Parkinson’s Disease. Sensors. 23(10). 4651–4651. 4 indexed citations
14.
Stuart, Samuel, et al.. (2023). Enhancing Free-Living Fall Risk Assessment: Contextualizing Mobility Based IMU Data. Sensors. 23(2). 891–891. 16 indexed citations
15.
Barry, Gill, et al.. (2022). Wearables for Running Gait Analysis: A Systematic Review. Sports Medicine. 53(1). 241–268. 66 indexed citations
16.
Silva‐Batista, Carla, Óscar Miranda-Domínguez, Anjanibhargavi Ragothaman, et al.. (2022). Does Cueing Need Attention? A Pilot Study in People with Parkinson’s Disease. Neuroscience. 507. 36–51. 6 indexed citations
17.
Martini, Douglas N., Lucy Parrington, Samuel Stuart, Peter C. Fino, & Laurie A. King. (2020). Gait Performance in People with Symptomatic, Chronic Mild Traumatic Brain Injury. Journal of Neurotrauma. 38(2). 218–224. 26 indexed citations
18.
Stuart, Samuel, Lucy Parrington, Douglas N. Martini, et al.. (2019). Analysis of Free-Living Mobility in People with Mild Traumatic Brain Injury and Healthy Controls: Quality over Quantity. Journal of Neurotrauma. 37(1). 139–145. 19 indexed citations
19.
Stuart, Samuel, et al.. (2019). Validation of a velocity-based algorithm to quantify saccades during walking and turning in mild traumatic brain injury and healthy controls. Physiological Measurement. 40(4). 44006–44006. 15 indexed citations
20.
Stuart, Samuel, Brook Galna, Sue Lord, Lynn Rochester, & Alan Godfrey. (2014). Quantifying saccades while walking: Validity of a novel velocity-based algorithm for mobile eye tracking. PubMed. 2014. 5739–5742. 28 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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