John McPhee

7.0k total citations
307 papers, 5.0k citations indexed

About

John McPhee is a scholar working on Control and Systems Engineering, Biomedical Engineering and Automotive Engineering. According to data from OpenAlex, John McPhee has authored 307 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Control and Systems Engineering, 106 papers in Biomedical Engineering and 89 papers in Automotive Engineering. Recurrent topics in John McPhee's work include Dynamics and Control of Mechanical Systems (62 papers), Muscle activation and electromyography studies (57 papers) and Vehicle Dynamics and Control Systems (54 papers). John McPhee is often cited by papers focused on Dynamics and Control of Mechanical Systems (62 papers), Muscle activation and electromyography studies (57 papers) and Vehicle Dynamics and Control Systems (54 papers). John McPhee collaborates with scholars based in Canada, United States and India. John McPhee's co-authors include Nasser L. Azad, Thanh-Son Dao, Aden Seaman, C. P. Vyasarayani, Yuping He, Thomas K. Uchida, Brokoslaw Laschowski, Reza Sharif Razavian, Yuan Lin and William McNally and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Power Sources and Journal of The Electrochemical Society.

In The Last Decade

John McPhee

291 papers receiving 4.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John McPhee Canada 33 1.9k 1.8k 1.3k 1.1k 974 307 5.0k
Jingang Yi United States 37 1.0k 0.5× 1.3k 0.7× 1.5k 1.1× 949 0.9× 502 0.5× 280 4.7k
Francesco Braghin Italy 32 673 0.4× 934 0.5× 1.3k 1.0× 1.5k 1.4× 333 0.3× 262 3.8k
Kyoung Kwan Ahn South Korea 45 947 0.5× 3.6k 2.0× 2.2k 1.7× 3.5k 3.2× 1.2k 1.2× 412 8.0k
M. O. Tokhi United Kingdom 30 441 0.2× 2.4k 1.4× 1.0k 0.8× 901 0.8× 248 0.3× 389 4.5k
Roberto Horowitz United States 47 1.1k 0.6× 6.1k 3.5× 1.1k 0.8× 1.8k 1.7× 1.6k 1.7× 368 8.5k
Fazel Naghdy Australia 31 653 0.3× 1.1k 0.6× 397 0.3× 927 0.8× 347 0.4× 198 3.0k
Maarouf Saad Canada 37 381 0.2× 3.3k 1.9× 1.2k 0.9× 893 0.8× 1.6k 1.7× 344 5.8k
Haiping Du Australia 59 3.7k 2.0× 4.7k 2.6× 1.8k 1.3× 3.6k 3.2× 1.0k 1.0× 426 12.8k
Subhash Rakheja Canada 47 2.0k 1.1× 2.5k 1.4× 1.1k 0.8× 2.5k 2.2× 350 0.4× 405 8.9k
Jan Swevers Belgium 46 890 0.5× 6.3k 3.6× 950 0.7× 3.6k 3.2× 393 0.4× 389 8.2k

Countries citing papers authored by John McPhee

Since Specialization
Citations

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

Fields of papers citing papers by John McPhee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John McPhee

This figure shows the co-authorship network connecting the top 25 collaborators of John McPhee. A scholar is included among the top collaborators of John McPhee 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 John McPhee. John McPhee 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
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McPhee, John, et al.. (2025). Acetabular cup orientation optimization following total hip arthroplasty using predictive simulation. Multibody System Dynamics. 66(1). 131–153.
3.
Bhanot, Kunal, et al.. (2024). Landet: an efficient physics-informed deep learning approach for automatic detection of anatomical landmarks and measurement of spinopelvic alignment. Journal of Orthopaedic Surgery and Research. 19(1). 199–199. 2 indexed citations
4.
Taghavipour, Amir, et al.. (2024). A Robust Model Order Reduction Scheme for Lithium-Ion Batteries in Control-Oriented Vehicle Models. Journal of The Electrochemical Society. 171(5). 53501–53501. 4 indexed citations
5.
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Dickerson, Clark R., et al.. (2023). Evaluation of a machine-learning-driven active–passive upper-limb exoskeleton robot: Experimental human-in-the-loop study. SHILAP Revista de lepidopterología. 4. e13–e13. 15 indexed citations
7.
Zhao, Jian, et al.. (2023). A computationally efficient and high-fidelity 1D steady-state performance model for PEM fuel cells. Journal of Physics Energy. 5(1). 15003–15003. 3 indexed citations
8.
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Orzechowski, Grzegorz, et al.. (2023). Multibody dynamics and control using machine learning. Multibody System Dynamics. 58(3-4). 397–431. 21 indexed citations
10.
Razavian, Reza Sharif, et al.. (2019). On the Relationship Between Muscle Synergies and Redundant Degrees of Freedom in Musculoskeletal Systems. Frontiers in Computational Neuroscience. 13. 23–23. 6 indexed citations
11.
Razavian, Reza Sharif, et al.. (2018). A modified homotopy optimization for parameter identification in dynamic systems with backlash discontinuity. Nonlinear Dynamics. 95(1). 57–72. 10 indexed citations
12.
Razavian, Reza Sharif, et al.. (2018). Feedback Control of Functional Electrical Stimulation for 2-D Arm Reaching Movements. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 26(10). 2033–2043. 30 indexed citations
13.
Razavian, Reza Sharif, et al.. (2018). Configuration-Dependent Optimal Impedance Control of an Upper Extremity Stroke Rehabilitation Manipulandum. Frontiers in Robotics and AI. 5. 124–124. 6 indexed citations
14.
Shourijeh, Mohammad S. & John McPhee. (2016). DYNAMIC OPTIMIZATION OF HUMAN FOREARM SIMULATIONS BY PARAMETERIZING THE MUSCLE EXCITATIONS.
15.
Uchida, Thomas K., et al.. (2015). Parameter estimation of an electrochemistry-based lithium-ion battery model. Journal of Power Sources. 291. 215–224. 56 indexed citations
16.
Razavian, Reza Sharif, et al.. (2015). A model-based approach to predict muscle synergies using optimization: application to feedback control. Frontiers in Computational Neuroscience. 9. 121–121. 32 indexed citations
17.
Vyasarayani, C. P., Thomas K. Uchida, & John McPhee. (2012). Single-shooting homotopy method for parameter identification in dynamical systems. Physical Review E. 85(3). 36201–36201. 8 indexed citations
18.
Zhou, Wei, et al.. (2008). Implicit Reduced Involutive Forms and Their Application to Engineering Multibody Systems.
19.
Seth, Ajay, John McPhee, & Marcus G. Pandy. (2003). Multi-joint coordination of vertical arm movement. SHILAP Revista de lepidopterología. 1(1). 45–56. 5 indexed citations
20.
Shi, Pengfei, John McPhee, & G. R. Heppler. (2001). A Deformation Field for Euler–Bernoulli Beams with Applications to Flexible Multibody Dynamics. Multibody System Dynamics. 5(1). 79–104. 63 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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