Ryan J. Farris

1.4k total citations
27 papers, 1.1k citations indexed

About

Ryan J. Farris is a scholar working on Biomedical Engineering, Pathology and Forensic Medicine and Rehabilitation. According to data from OpenAlex, Ryan J. Farris has authored 27 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Biomedical Engineering, 11 papers in Pathology and Forensic Medicine and 8 papers in Rehabilitation. Recurrent topics in Ryan J. Farris's work include Prosthetics and Rehabilitation Robotics (18 papers), Muscle activation and electromyography studies (14 papers) and Spinal Cord Injury Research (11 papers). Ryan J. Farris is often cited by papers focused on Prosthetics and Rehabilitation Robotics (18 papers), Muscle activation and electromyography studies (14 papers) and Spinal Cord Injury Research (11 papers). Ryan J. Farris collaborates with scholars based in United States. Ryan J. Farris's co-authors include Hugo Quintero, Michael Goldfarb, Clare Hartigan, Spencer A. Murray, Michael Goldfarb, Kevin H. Ha, Jerzy T. Sawicki, Casey Kandilakis, Skyler A. Dalley and Scott Morrison and has published in prestigious journals such as Archives of Physical Medicine and Rehabilitation, Journal of Biomechanical Engineering and IEEE Sensors Journal.

In The Last Decade

Ryan J. Farris

25 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan J. Farris United States 17 962 517 269 124 72 27 1.1k
Hugo Quintero United States 12 742 0.8× 386 0.7× 170 0.6× 76 0.6× 62 0.9× 22 821
Mukul Talaty United States 8 863 0.9× 589 1.1× 289 1.1× 202 1.6× 109 1.5× 12 1.1k
Seok Hun Kim United States 13 950 1.0× 720 1.4× 128 0.5× 189 1.5× 159 2.2× 34 1.2k
Brendan Quinlivan Ireland 12 968 1.0× 324 0.6× 90 0.3× 71 0.6× 93 1.3× 27 1.1k
Clare Hartigan United States 7 600 0.6× 452 0.9× 274 1.0× 113 0.9× 50 0.7× 10 731
Christopher Siviy United States 14 1.3k 1.3× 504 1.0× 142 0.5× 160 1.3× 186 2.6× 20 1.4k
Sai K. Banala United States 17 1.5k 1.5× 1.0k 1.9× 170 0.6× 156 1.3× 114 1.6× 20 1.7k
Fausto A. Panizzolo United States 15 840 0.9× 260 0.5× 86 0.3× 154 1.2× 154 2.1× 29 1.1k
Joan Lobo-Prat Netherlands 13 555 0.6× 391 0.8× 75 0.3× 90 0.7× 33 0.5× 40 740
Adam Zoss United States 8 1.4k 1.5× 597 1.2× 88 0.3× 48 0.4× 89 1.2× 9 1.5k

Countries citing papers authored by Ryan J. Farris

Since Specialization
Citations

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

Fields of papers citing papers by Ryan J. Farris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan J. Farris. 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 Ryan J. Farris. The network helps show where Ryan J. Farris may publish in the future.

Co-authorship network of co-authors of Ryan J. Farris

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan J. Farris. A scholar is included among the top collaborators of Ryan J. Farris 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 Ryan J. Farris. Ryan J. Farris 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.
Farris, Ryan J., et al.. (2025). Real-Time Experimental Validation of an Adaptive Gait Event Detection Algorithm. IEEE Sensors Journal. 25(8). 13819–13827.
2.
Farris, Ryan J., et al.. (2024). Preliminary Experimental Validation of a Cable-Driven Joint System for Custom Orthoses. PubMed. 2024. 1–4. 1 indexed citations
3.
Farris, Ryan J., et al.. (2021). An Anthropometrically Parameterized Assistive Lower Limb Exoskeleton. Journal of Biomechanical Engineering. 143(10). 12 indexed citations
4.
Farris, Ryan J., et al.. (2020). Design and Evaluation of a Pediatric Lower-Limb Exoskeleton Joint Actuator. Actuators. 9(4). 138–138. 21 indexed citations
5.
Farris, Ryan J., et al.. (2020). Angular momentum-based control of an underactuated orthotic system for crouch-to-stand motion. Autonomous Robots. 44(8). 1469–1484. 4 indexed citations
6.
Dalley, Skyler A., Clare Hartigan, Casey Kandilakis, & Ryan J. Farris. (2018). Increased Walking Speed and Speed Control in Exoskeleton Enabled Gait. 689–694. 6 indexed citations
7.
Murray, Spencer A., et al.. (2018). FES Coupled With A Powered Exoskeleton For Cooperative Muscle Contribution In Persons With Paraplegia. PubMed. 2018. 2788–2792. 20 indexed citations
8.
Farris, Ryan J., et al.. (2017). Design and Preliminary Evaluation of a Powered Pediatric Lower Limb Orthosis. 16 indexed citations
9.
Hartigan, Clare, et al.. (2015). Mobility Outcomes Following Five Training Sessions with a Powered Exoskeleton. Topics in Spinal Cord Injury Rehabilitation. 21(2). 93–99. 141 indexed citations
10.
Farris, Ryan J., Hugo Quintero, Spencer A. Murray, et al.. (2013). A Preliminary Assessment of Legged Mobility Provided by a Lower Limb Exoskeleton for Persons With Paraplegia. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 22(3). 482–490. 156 indexed citations
11.
Hartigan, Clare, Michael Goldfarb, Ryan J. Farris, Kevin Ha, & Spencer A. Murray. (2013). Poster 19 Newly Developed Robotic Exoskeleton That Provides Mobility and Option for Functional Electrical Stimulation. Archives of Physical Medicine and Rehabilitation. 94(10). e18–e19. 1 indexed citations
12.
Quintero, Hugo, Ryan J. Farris, Kevin Ha, & Michael Goldfarb. (2012). Preliminary assessment of the efficacy of supplementing knee extension capability in a lower limb exoskeleton with FES. PubMed. 2012. 3360–3363. 28 indexed citations
13.
Farris, Ryan J., Hugo Quintero, & Michael Goldfarb. (2012). Performance evaluation of a lower limb exoskeleton for stair ascent and descent with Paraplegia. PubMed. 2012. 1908–1911. 51 indexed citations
14.
15.
Quintero, Hugo, Ryan J. Farris, & Michael Goldfarb. (2012). A Method for the Autonomous Control of Lower Limb Exoskeletons for Persons With Paraplegia. Journal of Medical Devices. 6(4). 74 indexed citations
16.
Quintero, Hugo, et al.. (2011). A Powered Lower Limb Orthosis for Providing Legged Mobility in Paraplegic Individuals. Topics in Spinal Cord Injury Rehabilitation. 17(1). 25–33. 60 indexed citations
17.
Quintero, Hugo, Ryan J. Farris, & Michael Goldfarb. (2011). Control and implementation of a powered lower limb orthosis to aid walking in paraplegic individuals. PubMed. 2011. 1–6. 64 indexed citations
18.
Farris, Ryan J., Hugo Quintero, & Michael Goldfarb. (2011). Preliminary Evaluation of a Powered Lower Limb Orthosis to Aid Walking in Paraplegic Individuals. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 19(6). 652–659. 249 indexed citations
19.
Quintero, Hugo, Ryan J. Farris, William K. Durfee, & Michael Goldfarb. (2010). Feasibility of a hybrid-FES system for gait restoration in paraplegics. PubMed. 26. 483–486. 19 indexed citations
20.
Farris, Ryan J., Hugo Quintero, Thomas J. Withrow, & Michael Goldfarb. (2009). Design and simulation of a joint-coupled orthosis for regulating FES-aided gait. 1916–1922. 32 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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