Meghan E. Huber

1.5k total citations
44 papers, 998 citations indexed

About

Meghan E. Huber is a scholar working on Biomedical Engineering, Rehabilitation and Cognitive Neuroscience. According to data from OpenAlex, Meghan E. Huber has authored 44 papers receiving a total of 998 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Biomedical Engineering, 14 papers in Rehabilitation and 13 papers in Cognitive Neuroscience. Recurrent topics in Meghan E. Huber's work include Muscle activation and electromyography studies (15 papers), Stroke Rehabilitation and Recovery (14 papers) and Motor Control and Adaptation (13 papers). Meghan E. Huber is often cited by papers focused on Muscle activation and electromyography studies (15 papers), Stroke Rehabilitation and Recovery (14 papers) and Motor Control and Adaptation (13 papers). Meghan E. Huber collaborates with scholars based in United States, Russia and Germany. Meghan E. Huber's co-authors include Dagmar Sternad, Danielle Levac, Meredith R. Golomb, Grigore Burdea, Bryan Rabin, Moustafa AbdelBaky, Miriam Leeser, Amee L. Seitz, Nikita A. Kuznetsov and Ciprian Docan and has published in prestigious journals such as Advanced Functional Materials, Journal of Neurophysiology and Scientific Reports.

In The Last Decade

Meghan E. Huber

42 papers receiving 968 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meghan E. Huber United States 16 346 287 257 232 151 44 998
Alexander Koenig Switzerland 14 407 1.2× 205 0.7× 183 0.7× 430 1.9× 116 0.8× 35 1.0k
Imre Cikajlo Slovenia 14 535 1.5× 221 0.8× 131 0.5× 300 1.3× 133 0.9× 64 959
Dario G. Liebermann Israel 22 402 1.2× 249 0.9× 438 1.7× 367 1.6× 74 0.5× 55 1.7k
Valentina Squeri Italy 21 545 1.6× 237 0.8× 447 1.7× 399 1.7× 56 0.4× 64 1.1k
Mónica S. Cameirão Portugal 18 927 2.7× 273 1.0× 314 1.2× 160 0.7× 402 2.7× 52 1.4k
Charmayne Hughes United States 20 239 0.7× 184 0.6× 535 2.1× 217 0.9× 41 0.3× 74 1.1k
Julius Verrel Germany 17 130 0.4× 277 1.0× 446 1.7× 167 0.7× 45 0.3× 47 991
Shaw Bronner United States 23 376 1.1× 108 0.4× 238 0.9× 387 1.7× 98 0.6× 56 1.8k
Uttama Lahiri India 20 171 0.5× 144 0.5× 661 2.6× 199 0.9× 212 1.4× 85 1.2k
Alejandro Melendez-Calderon United States 19 654 1.9× 249 0.9× 519 2.0× 635 2.7× 82 0.5× 46 1.5k

Countries citing papers authored by Meghan E. Huber

Since Specialization
Citations

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

Fields of papers citing papers by Meghan E. Huber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Meghan E. Huber. 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 Meghan E. Huber. The network helps show where Meghan E. Huber may publish in the future.

Co-authorship network of co-authors of Meghan E. Huber

This figure shows the co-authorship network connecting the top 25 collaborators of Meghan E. Huber. A scholar is included among the top collaborators of Meghan E. Huber 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 Meghan E. Huber. Meghan E. Huber 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
2.
Price, Mark, et al.. (2024). Design and Characterization of the AdjuSST: An Adjustable Surface Stiffness Treadmill. IEEE/ASME Transactions on Mechatronics. 30(6). 4754–4765. 1 indexed citations
3.
Price, Mark, Meghan E. Huber, & Wouter Hoogkamer. (2023). Minimum effort simulations of split-belt treadmill walking exploit asymmetry to reduce metabolic energy expenditure. Journal of Neurophysiology. 129(4). 900–913. 9 indexed citations
5.
Huber, Meghan E., et al.. (2022). Dynamic Primitives Limit Human Force Regulation During Motion. IEEE Robotics and Automation Letters. 7(2). 2391–2398. 6 indexed citations
6.
Huber, Meghan E., et al.. (2022). Role of path information in visual perception of joint stiffness. PLoS Computational Biology. 18(11). e1010729–e1010729. 1 indexed citations
7.
Huber, Meghan E., Enrico Chiovetto, Martin A. Giese, & Dagmar Sternad. (2020). Rigid soles improve balance in beam walking, but improvements do not persist with bare feet. Scientific Reports. 10(1). 7629–7629. 11 indexed citations
8.
Lee, Jongwoo, et al.. (2020). Modulating hip stiffness with a robotic exoskeleton immediately changes gait. 733–739. 8 indexed citations
9.
Huber, Meghan E., et al.. (2020). Overground gait patterns changed by modulating hip stiffness with a robotic exoskeleton. 967–972. 2 indexed citations
10.
Levac, Danielle, Meghan E. Huber, & Dagmar Sternad. (2019). Learning and transfer of complex motor skills in virtual reality: a perspective review. Journal of NeuroEngineering and Rehabilitation. 16(1). 121–121. 162 indexed citations
11.
Zhang, Zhaoran, et al.. (2018). Exploiting the geometry of the solution space to reduce sensitivity to neuromotor noise. PLoS Computational Biology. 14(2). e1006013–e1006013. 26 indexed citations
12.
Maurice, Pauline, Meghan E. Huber, Neville Hogan, & Dagmar Sternad. (2017). Velocity-Curvature Patterns Limit Human–Robot Physical Interaction. IEEE Robotics and Automation Letters. 3(1). 249–256. 38 indexed citations
13.
Huber, Meghan E., Adam J. Brown, & Dagmar Sternad. (2016). Girls can play ball: Stereotype threat reduces variability in a motor skill. Acta Psychologica. 169. 79–87. 21 indexed citations
14.
Huber, Meghan E., Amee L. Seitz, Miriam Leeser, & Dagmar Sternad. (2015). Validity and reliability of Kinect skeleton for measuring shoulder joint angles: a feasibility study. Physiotherapy. 101(4). 389–393. 88 indexed citations
15.
Huber, Meghan E., Allison E. Seitchik, Adam J. Brown, Dagmar Sternad, & Stephen G. Harkins. (2015). The effect of stereotype threat on performance of a rhythmic motor skill.. Journal of Experimental Psychology Human Perception & Performance. 41(2). 525–541. 20 indexed citations
16.
Huber, Meghan E. & Dagmar Sternad. (2015). Implicit guidance to stable performance in a rhythmic perceptual-motor skill. Experimental Brain Research. 233(6). 1783–1799. 11 indexed citations
17.
Sternad, Dagmar, Meghan E. Huber, & Nikita A. Kuznetsov. (2014). Acquisition of Novel and Complex Motor Skills: Stable Solutions Where Intrinsic Noise Matters Less. Advances in experimental medicine and biology. 826. 101–124. 47 indexed citations
18.
Huber, Meghan E.. (2010). Next Generation Design for an In-Home Video Game Enhanced Physical Therapy System for Pediatric Patients with Cerebral Palsy. TopSCHOLAR (Western Kentucky University). 4(1). 7. 3 indexed citations
19.
Golomb, Meredith R., Brenna C. McDonald, Stuart J. Warden, et al.. (2010). In-Home Virtual Reality Videogame Telerehabilitation in Adolescents With Hemiplegic Cerebral Palsy. Archives of Physical Medicine and Rehabilitation. 91(1). 1–8.e1. 193 indexed citations
20.
Huber, Meghan E., Bryan Rabin, Ciprian Docan, et al.. (2010). Feasibility of Modified Remotely Monitored In-Home Gaming Technology for Improving Hand Function in Adolescents With Cerebral Palsy. IEEE Transactions on Information Technology in Biomedicine. 14(2). 526–534. 77 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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