Jonathan Camargo

773 total citations · 1 hit paper
21 papers, 502 citations indexed

About

Jonathan Camargo is a scholar working on Biomedical Engineering, Physical Therapy, Sports Therapy and Rehabilitation and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jonathan Camargo has authored 21 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Biomedical Engineering, 5 papers in Physical Therapy, Sports Therapy and Rehabilitation and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jonathan Camargo's work include Muscle activation and electromyography studies (16 papers), Prosthetics and Rehabilitation Robotics (13 papers) and Balance, Gait, and Falls Prevention (5 papers). Jonathan Camargo is often cited by papers focused on Muscle activation and electromyography studies (16 papers), Prosthetics and Rehabilitation Robotics (13 papers) and Balance, Gait, and Falls Prevention (5 papers). Jonathan Camargo collaborates with scholars based in United States, Colombia and Australia. Jonathan Camargo's co-authors include Aaron J. Young, W. Flanagan, Dean D. Molinaro, Inseung Kang, Kinsey Herrin, Matthew Gombolay, Luke Donovan, Pratik Kunapuli, Omar López and Annabel Sorby‐Adams and has published in prestigious journals such as Journal of Biomechanics, IEEE Transactions on Biomedical Engineering and Journal of Biomechanical Engineering.

In The Last Decade

Jonathan Camargo

19 papers receiving 495 citations

Hit Papers

A comprehensive, open-source dataset of lower limb biomec... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Camargo United States 10 435 106 92 38 37 21 502
Kyle Embry United States 10 293 0.7× 93 0.9× 72 0.8× 29 0.8× 13 0.4× 14 366
Dean D. Molinaro United States 11 359 0.8× 91 0.9× 150 1.6× 16 0.4× 21 0.6× 17 403
Kimberly A. Ingraham United States 14 676 1.6× 65 0.6× 143 1.6× 36 0.9× 45 1.2× 25 722
Daniel Laidig Germany 11 148 0.3× 98 0.9× 60 0.7× 33 0.9× 46 1.2× 21 380
Dheepak Arumukhom Revi United States 6 463 1.1× 71 0.7× 192 2.1× 28 0.7× 27 0.7× 9 540
Dabin K. Choe United States 6 414 1.0× 47 0.4× 146 1.6× 22 0.6× 27 0.7× 10 460
Antonio Prado United States 11 159 0.4× 107 1.0× 115 1.3× 32 0.8× 34 0.9× 19 299
Max K. Shepherd United States 12 561 1.3× 70 0.7× 177 1.9× 52 1.4× 19 0.5× 25 593
Dario J. Villarreal United States 13 672 1.5× 136 1.3× 88 1.0× 47 1.2× 28 0.8× 19 715
Kamran Shamaei United States 10 510 1.2× 59 0.6× 100 1.1× 41 1.1× 23 0.6× 15 568

Countries citing papers authored by Jonathan Camargo

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Camargo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Camargo

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Camargo. A scholar is included among the top collaborators of Jonathan Camargo 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 Jonathan Camargo. Jonathan Camargo 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.
Camargo, Jonathan, et al.. (2024). Continuous-Context, User-Independent, Real-Time Intent Recognition for Powered Lower-Limb Prostheses. Journal of Biomechanical Engineering. 147(2). 2 indexed citations
2.
Sorby‐Adams, Annabel, Jonathan Camargo, Robert G. Crowther, et al.. (2023). Neurological scoring and gait kinematics to assess functional outcome in an ovine model of ischaemic stroke. Frontiers in Neurology. 14. 1071794–1071794.
3.
Camargo, Jonathan, et al.. (2023). User- and Speed-Independent Slope Estimation for Lower-Extremity Wearable Robots. Annals of Biomedical Engineering. 52(3). 487–497. 2 indexed citations
4.
Camargo, Jonathan, Dean D. Molinaro, & Aaron J. Young. (2022). Predicting biological joint moment during multiple ambulation tasks. Journal of Biomechanics. 134. 111020–111020. 21 indexed citations
5.
Camargo, Jonathan, et al.. (2022). Biomechanical Evaluation of Stair Ambulation Using Impedance Control on an Active Prosthesis. Journal of Biomechanical Engineering. 145(2). 7 indexed citations
6.
Molinaro, Dean D., Inseung Kang, Jonathan Camargo, Matthew Gombolay, & Aaron J. Young. (2022). Subject-Independent, Biological Hip Moment Estimation During Multimodal Overground Ambulation Using Deep Learning. IEEE Transactions on Medical Robotics and Bionics. 4(1). 219–229. 51 indexed citations
7.
Camargo, Jonathan, et al.. (2022). OpenSim Model for Biomechanical Analysis with the Open-Source Bionic Leg. 1–6. 5 indexed citations
8.
Camargo, Jonathan. (2021). Data repository for Camargo, et. al. A comprehensive, open-source dataset of lower limb biomechanics. Part 3 of 3. Data Archiving and Networked Services (DANS). 2. 1 indexed citations
9.
Camargo, Jonathan, et al.. (2021). A comprehensive, open-source dataset of lower limb biomechanics in multiple conditions of stairs, ramps, and level-ground ambulation and transitions. Journal of Biomechanics. 119. 110320–110320. 195 indexed citations breakdown →
10.
Camargo, Jonathan, et al.. (2021). A Machine Learning Strategy for Locomotion Classification and Parameter Estimation Using Fusion of Wearable Sensors. IEEE Transactions on Biomedical Engineering. 68(5). 1569–1578. 54 indexed citations
11.
Camargo, Jonathan, et al.. (2021). Evaluation of Continuous Walking Speed Determination Algorithms and Embedded Sensors for a Powered Knee & Ankle Prosthesis. IEEE Robotics and Automation Letters. 6(3). 4820–4826. 14 indexed citations
12.
Camargo, Jonathan. (2021). Data repository for Camargo, et. al. A comprehensive, open-source dataset of lower limb biomechanics. Part 2 of 3. Data Archiving and Networked Services (DANS). 2. 1 indexed citations
13.
Molinaro, Dean D., Inseung Kang, Jonathan Camargo, & Aaron J. Young. (2020). Biological Hip Torque Estimation using a Robotic Hip Exoskeleton. PubMed. 2020. 791–796. 16 indexed citations
14.
Camargo, Jonathan, et al.. (2020). Automated gap-filling for marker-based biomechanical motion capture data. Computer Methods in Biomechanics & Biomedical Engineering. 23(15). 1180–1189. 22 indexed citations
15.
Camargo, Jonathan, et al.. (2020). Machine Learning Model Comparisons of User Independent & Dependent Intent Recognition Systems for Powered Prostheses. IEEE Robotics and Automation Letters. 5(4). 5393–5400. 44 indexed citations
16.
17.
Camargo, Jonathan & Aaron J. Young. (2019). Feature Selection and Non-Linear Classifiers: Effects on Simultaneous Motion Recognition in Upper Limb. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 27(4). 743–750. 36 indexed citations
18.
Camargo, Jonathan, et al.. (2018). Control and Experimental Validation of a Powered Knee and Ankle Prosthetic Device. 9 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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