Samuel Phillips

651 total citations
32 papers, 477 citations indexed

About

Samuel Phillips is a scholar working on Biomedical Engineering, Rehabilitation and Pathology and Forensic Medicine. According to data from OpenAlex, Samuel Phillips has authored 32 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Biomedical Engineering, 6 papers in Rehabilitation and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Samuel Phillips's work include Muscle activation and electromyography studies (15 papers), Prosthetics and Rehabilitation Robotics (14 papers) and Stroke Rehabilitation and Recovery (6 papers). Samuel Phillips is often cited by papers focused on Muscle activation and electromyography studies (15 papers), Prosthetics and Rehabilitation Robotics (14 papers) and Stroke Rehabilitation and Recovery (6 papers). Samuel Phillips collaborates with scholars based in United States, United Kingdom and Australia. Samuel Phillips's co-authors include Martin S. Wolfe, William Craelius, M. Jason Highsmith, Jason Ditton, Brian W. Schulz, Linda Resnik, Christine Elnitsky, Thomas E. Nickson, Michael J. Horak and Matthew Borgia and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Endocrinology.

In The Last Decade

Samuel Phillips

30 papers receiving 428 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 Phillips United States 13 221 111 54 53 50 32 477
Antônio Carlos Santos Brazil 11 185 0.8× 41 0.4× 74 1.4× 16 0.3× 11 0.2× 55 578
Wenjuan Zhang China 13 96 0.4× 21 0.2× 76 1.4× 33 0.6× 21 0.4× 33 451
I. K. A. Ibrahim Egypt 10 57 0.3× 241 2.2× 67 1.2× 51 1.0× 9 0.2× 45 487
Elizabeth G. Halsne United States 10 393 1.8× 8 0.1× 25 0.5× 94 1.8× 14 0.3× 25 463
Jussi Valtonen Finland 10 63 0.3× 23 0.2× 85 1.6× 107 2.0× 9 0.2× 24 428
Dhaval S Patel United States 13 27 0.1× 19 0.2× 39 0.7× 5 0.1× 17 0.3× 28 597
Stéphanie Valentin United Kingdom 10 118 0.5× 6 0.1× 13 0.2× 27 0.5× 13 0.3× 43 481
Feifei Qin China 15 10 0.0× 227 2.0× 39 0.7× 4 0.1× 9 0.2× 74 639
Valerie Hill United States 11 44 0.2× 9 0.1× 30 0.6× 147 2.8× 2 0.0× 23 397

Countries citing papers authored by Samuel Phillips

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Phillips

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel Phillips

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel Phillips. A scholar is included among the top collaborators of Samuel Phillips 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 Phillips. Samuel Phillips 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.
Carroll, Michael K., M. Jason Highsmith, Samuel Phillips, et al.. (2025). THE SMART ADAPTIVE SOCKET SYSTEM AND ITS IMPACT ON TRANSTIBIAL PROSTHESIS USERS: A MIXED METHODS RESEARCH STUDY. Technology & Innovation. 24(1). 32–40. 1 indexed citations
2.
Maikos, Jason, Alison L. Pruziner, Brad D. Hendershot, et al.. (2024). Effects of a Powered Ankle-Foot Prosthesis and Physical Therapy on Function for Individuals With Transfemoral Limb Loss: Rationale, Design, and Protocol for a Multisite Clinical Trial. JMIR Research Protocols. 13. e53412–e53412. 1 indexed citations
3.
4.
Maikos, Jason, et al.. (2023). Criteria for Advanced Prosthetic Foot Prescription: Rationale, Design, and Protocol for a Multisite, Randomized Controlled Trial. JMIR Research Protocols. 12. e45612–e45612. 3 indexed citations
5.
Highsmith, M. Jason, et al.. (2023). Duration, frequency, and factors related to lower extremity prosthesis use: systematic review and meta-analysis. Disability and Rehabilitation. 46(20). 4567–4585. 2 indexed citations
6.
Barrett, Blake, et al.. (2022). Evaluation of a new assistive technology: the StandBar. Disability and Rehabilitation Assistive Technology. 19(3). 671–681. 2 indexed citations
7.
Resnik, Linda, Matthew Borgia, M. Jason Highsmith, et al.. (2021). Understanding Implications of Residual Limb Length, Strength, and Range-of-Motion Impairments of Veterans With Upper Limb Amputation. American Journal of Physical Medicine & Rehabilitation. 101(6). 545–554. 3 indexed citations
8.
Resnik, Linda, et al.. (2018). EMG pattern recognition compared to foot control of the DEKA Arm. PLoS ONE. 13(10). e0204854–e0204854. 7 indexed citations
9.
Resnik, Linda, et al.. (2018). EMG Pattern Recognition Control of the DEKA Arm: Impact on User Ratings of Satisfaction and Usability. IEEE Journal of Translational Engineering in Health and Medicine. 7. 1–1. 13 indexed citations
10.
Resnik, Linda, et al.. (2017). Use of the DEKA Arm for amputees with brachial plexus injury: A case series. PLoS ONE. 12(6). e0178642–e0178642. 2 indexed citations
11.
Myaskovsky, Larissa, Shasha Gao, Leslie R. M. Hausmann, et al.. (2017). How Are Race, Cultural, and Psychosocial Factors Associated With Outcomes in Veterans With Spinal Cord Injury?. Archives of Physical Medicine and Rehabilitation. 98(9). 1812–1820.e3. 12 indexed citations
12.
Myaskovsky, Larissa, Shasha Gao, Leslie R. M. Hausmann, et al.. (2016). Quality and Equity in Wheelchairs Used by Veterans. Archives of Physical Medicine and Rehabilitation. 98(3). 442–449. 5 indexed citations
13.
Dorr, Bonnie J., et al.. (2015). Deterioration of Speech as an Indicator of Physiological Degeneration (DESIPHER). National Conference on Artificial Intelligence. 1 indexed citations
14.
Horak, Michael J., et al.. (2015). Characterization of the ecological interactions of Roundup Ready 2 Yield® soybean, MON 89788, for use in ecological risk assessment. GM crops & food. 6(3). 167–182. 8 indexed citations
15.
Horak, Michael J., et al.. (2014). Plant characterization of Roundup Ready 2 Yield® soybean, MON 89788, for use in ecological risk assessment. Transgenic Research. 24(2). 213–225. 20 indexed citations
16.
Phillips, Samuel, et al.. (2013). A Review of Clinical Outcome Assessment Instruments for Gait, Balance, and Fall Risk in Persons With Lower Extremity Amputation. Topics in Geriatric Rehabilitation. 30(1). 70–76. 15 indexed citations
17.
Elnitsky, Christine, et al.. (2012). Patient Safety in the Rehabilitation of the Adult with an Amputation. Physical Medicine and Rehabilitation Clinics of North America. 23(2). 377–392. 13 indexed citations
18.
Phillips, Samuel & William Craelius. (2005). Residual kinetic imaging: a versatile interface for prosthetic control. Robotica. 23(3). 277–282. 51 indexed citations
19.
Phillips, Samuel & William Craelius. (2005). Material Properties of Selected Prosthetic Laminates. JPO Journal of Prosthetics and Orthotics. 17(1). 27–32. 41 indexed citations
20.
Phillips, Samuel, James A. Flint, & William Craelius. (2002). RESIDUAL KINETIC VECTORS FOR PROSTHETIC CONTROL. DukeSpace (Duke University).

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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