Matthew Millard

3.2k total citations · 2 hit papers
38 papers, 1.9k citations indexed

About

Matthew Millard is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Physical Therapy, Sports Therapy and Rehabilitation. According to data from OpenAlex, Matthew Millard has authored 38 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Biomedical Engineering, 7 papers in Cognitive Neuroscience and 7 papers in Physical Therapy, Sports Therapy and Rehabilitation. Recurrent topics in Matthew Millard's work include Muscle activation and electromyography studies (22 papers), Prosthetics and Rehabilitation Robotics (12 papers) and Balance, Gait, and Falls Prevention (7 papers). Matthew Millard is often cited by papers focused on Muscle activation and electromyography studies (22 papers), Prosthetics and Rehabilitation Robotics (12 papers) and Balance, Gait, and Falls Prevention (7 papers). Matthew Millard collaborates with scholars based in Germany, Canada and United States. Matthew Millard's co-authors include Scott L. Delp, Ajay Seth, Thomas K. Uchida, Samuel R. Hamner, Katja Mombaur, Jennifer L. Hicks, Carmichael Ong, Shrinidhi Kowshika Lakshmikanth, Joy P. Ku and Ayman Habib and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Biomechanics.

In The Last Decade

Matthew Millard

36 papers receiving 1.8k citations

Hit Papers

OpenSim: Simulating musculoskeletal dynamics and neur... 2013 2026 2017 2021 2018 2013 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Millard Germany 14 1.3k 329 314 252 205 38 1.9k
Tommaso D’Alessio Italy 25 989 0.8× 242 0.7× 548 1.7× 350 1.4× 154 0.8× 88 1.8k
C.T.M. Baten Netherlands 22 1.1k 0.9× 358 1.1× 284 0.9× 386 1.5× 101 0.5× 64 2.4k
Valentina Agostini Italy 25 1.1k 0.9× 259 0.8× 386 1.2× 620 2.5× 349 1.7× 108 2.0k
Jack M. Winters United States 18 1.5k 1.2× 286 0.9× 928 3.0× 286 1.1× 184 0.9× 73 2.5k
Elena Bergamini Italy 22 652 0.5× 497 1.5× 71 0.2× 466 1.8× 204 1.0× 64 1.6k
Silvia Fantozzi Italy 24 1.1k 0.9× 807 2.5× 170 0.5× 408 1.6× 93 0.5× 87 2.4k
Kamran Iqbal United States 18 728 0.6× 105 0.3× 331 1.1× 577 2.3× 235 1.1× 129 1.5k
Edward A. Clancy United States 30 2.0k 1.6× 191 0.6× 1.3k 4.3× 74 0.3× 105 0.5× 110 3.2k
Thomas K. Uchida Canada 18 1.6k 1.2× 399 1.2× 340 1.1× 283 1.1× 222 1.1× 51 2.4k
Philippe Gorce France 21 733 0.6× 270 0.8× 371 1.2× 147 0.6× 190 0.9× 233 2.0k

Countries citing papers authored by Matthew Millard

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Millard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Millard

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Millard. A scholar is included among the top collaborators of Matthew Millard 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 Matthew Millard. Matthew Millard 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.
Millard, Matthew & Lizeth H. Sloot. (2025). A polygon model of the functional base-of-support during standing improves the accuracy of balance analysis. Journal of Biomechanics. 192. 112927–112927.
2.
Millard, Matthew, David W. Franklin, & Walter Herzog. (2024). A three filament mechanistic model of musculotendon force and impedance. eLife. 12. 2 indexed citations
3.
Millard, Matthew, Norman Stutzig, Jörg Fehr, & Tobias Siebert. (2024). A benchmark of muscle models to length changes great and small. Journal of the mechanical behavior of biomedical materials. 160. 106740–106740.
4.
Leib, Raz, Ian S. Howard, Matthew Millard, & David W. Franklin. (2024). Behavioral Motor Performance. Comprehensive physiology. 14(1). 5179–5224. 1 indexed citations
5.
Millard, Matthew, David W. Franklin, & Walter Herzog. (2023). A three filament mechanistic model of musculotendon force and impedance. eLife. 12(6). 92–94. 5 indexed citations
7.
Millard, Matthew, et al.. (2021). Comparing the risk of low-back injury using model-based optimization: Improved technique versus exoskeleton assistance. SHILAP Revista de lepidopterología. 2. e13–e13. 7 indexed citations
8.
Millard, Matthew, et al.. (2021). I3SA: The Increased Step Size Stability Assessment Benchmark and its Application to the Humanoid Robot REEM-C. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 5357–5363. 5 indexed citations
9.
Millard, Matthew, et al.. (2020). A little damping goes a long way: a simulation study of how damping influences task-level stability in running. Biology Letters. 16(9). 7 indexed citations
10.
Millard, Matthew, et al.. (2020). Biomechanical Analysis of the Slow-Twitch (Red) Muscle Force Transmission Pathways in Tunas. Physiological and Biochemical Zoology. 93(3). 185–198. 4 indexed citations
11.
Sloot, Lizeth H., Matthew Millard, Christian Werner, & Katja Mombaur. (2020). Slow but Steady: Similar Sit-to-Stand Balance at Seat-Off in Older vs. Younger Adults. Frontiers in Sports and Active Living. 2. 548174–548174. 12 indexed citations
13.
Millard, Matthew, et al.. (2019). A reduced muscle model and planar musculoskeletal model fit for the simulation of whole-body movements. Journal of Biomechanics. 89. 11–20. 17 indexed citations
14.
Seth, Ajay, Jennifer L. Hicks, Thomas K. Uchida, et al.. (2018). OpenSim: Simulating musculoskeletal dynamics and neuromuscular control to study human and animal movement. PLoS Computational Biology. 14(7). e1006223–e1006223. 653 indexed citations breakdown →
15.
Sreenivasa, Manish, Matthew Millard, Idsart Kingma, Jaap H. van Dieën, & Katja Mombaur. (2018). Predicting the influence of hip and lumbar flexibility on lifting motions using optimal control. Journal of Biomechanics. 78. 118–125. 9 indexed citations
16.
Sreenivasa, Manish, Matthew Millard, Martin L. Felis, Katja Mombaur, & Sebastian I. Wolf. (2017). Optimal Control Based Stiffness Identification of an Ankle-Foot Orthosis Using a Predictive Walking Model. Frontiers in Computational Neuroscience. 11. 23–23. 23 indexed citations
17.
Sreenivasa, Manish, et al.. (2017). Parameter optimization for passive spinal exoskeletons based on experimental data and optimal control. 535–540. 10 indexed citations
18.
Näf, Matthias B., et al.. (2017). Towards low back support with a passive biomimetic exo-spine. PubMed. 2017. 1165–1170. 10 indexed citations
19.
Hamner, Samuel R., et al.. (2013). How muscle fiber lengths and velocities affect muscle force generation as humans walk and run at different speeds. Journal of Experimental Biology. 216(Pt 11). 2150–60. 203 indexed citations
20.
Millard, Matthew, et al.. (2010). Player testing and statistical analysis of two different methods for spine-aligning golf club shafts. Procedia Engineering. 2(2). 3355–3360. 1 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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