Ryan D. Maladen

1.1k total citations
10 papers, 807 citations indexed

About

Ryan D. Maladen is a scholar working on Biomedical Engineering, Aerospace Engineering and Mechanics of Materials. According to data from OpenAlex, Ryan D. Maladen has authored 10 papers receiving a total of 807 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Biomedical Engineering, 3 papers in Aerospace Engineering and 2 papers in Mechanics of Materials. Recurrent topics in Ryan D. Maladen's work include Robotic Locomotion and Control (6 papers), Muscle activation and electromyography studies (3 papers) and Biomimetic flight and propulsion mechanisms (3 papers). Ryan D. Maladen is often cited by papers focused on Robotic Locomotion and Control (6 papers), Muscle activation and electromyography studies (3 papers) and Biomimetic flight and propulsion mechanisms (3 papers). Ryan D. Maladen collaborates with scholars based in United States and Russia. Ryan D. Maladen's co-authors include Daniel I. Goldman, Yang Ding, Chen Li, Paul B. Umbanhowar, Feifei Qian, Nicole Mazouchova, Matt Travers, Jeffrey Aguilar, Benjamin McInroe and Tingnan Zhang and has published in prestigious journals such as Science, Journal of Applied Physiology and Reports on Progress in Physics.

In The Last Decade

Ryan D. Maladen

9 papers receiving 790 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ryan D. Maladen United States	8	457	250	214	180	155	10	807
Yang Ding United States	20	681 1.5×	401 1.6×	508 2.4×	348 1.9×	329 2.1×	50	1.5k
Chaohui Gong United States	17	709 1.6×	399 1.6×	173 0.8×	226 1.3×	38 0.2×	43	1.1k
Jennifer M. Rieser United States	15	305 0.7×	209 0.8×	182 0.9×	118 0.7×	87 0.6×	24	824
Henry C. Astley United States	17	606 1.3×	253 1.0×	110 0.5×	209 1.2×	33 0.2×	42	1.1k
Nicolas Vandenberghe France	17	121 0.3×	124 0.5×	156 0.7×	329 1.8×	424 2.7×	28	880
Jeffrey Aguilar United States	7	207 0.5×	111 0.4×	86 0.4×	73 0.4×	48 0.3×	7	391
Feifei Qian United States	10	250 0.5×	141 0.6×	92 0.4×	91 0.5×	32 0.2×	26	390
Jeffrey M. Aristoff United States	15	116 0.3×	139 0.6×	46 0.2×	167 0.9×	865 5.6×	30	1.3k
Nicole Mazouchova United States	4	191 0.4×	110 0.4×	83 0.4×	84 0.5×	29 0.2×	4	317

Countries citing papers authored by Ryan D. Maladen

Since Specialization

Citations

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

Fields of papers citing papers by Ryan D. Maladen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan D. Maladen

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan D. Maladen. A scholar is included among the top collaborators of Ryan D. Maladen 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 D. Maladen. Ryan D. Maladen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Li, Chen, Yang Ding, Nick Gravish, et al.. (2019). Towards a terramechanics for bio-inspired locomotion in granular environments. arXiv (Cornell University). 264–273.

Aguilar, Jeffrey, Tingnan Zhang, Feifei Qian, et al.. (2016). A review on locomotion robophysics: the study of movement at the intersection of robotics, soft matter and dynamical systems. Reports on Progress in Physics. 79(11). 110001–110001. 185 indexed citations

Maladen, Ryan D., et al.. (2011). Granular lift forces predict vertical motion of a sand-swimming robot. 1398–1403. 26 indexed citations

Maladen, Ryan D., Yang Ding, Paul B. Umbanhowar, & Daniel I. Goldman. (2011). Undulatory swimming in sand: experimental and simulation studies of a robotic sandfish. The International Journal of Robotics Research. 30(7). 793–805. 67 indexed citations

Maladen, Ryan D., et al.. (2011). Mechanical models of sandfish locomotion reveal principles of high performance subsurface sand-swimming. Journal of The Royal Society Interface. 8(62). 1332–1345. 153 indexed citations

Maladen, Ryan D., et al.. (2010). Biophysically inspired development of a sand-swimming robot. 12 indexed citations

Maladen, Ryan D., Yang Ding, Chen Li, & Daniel I. Goldman. (2009). Undulatory Swimming in Sand: Subsurface Locomotion of the Sandfish Lizard. Science. 325(5938). 314–318. 328 indexed citations

Kesar, Trisha M., Jun Ding, Anthony S. Wexler, et al.. (2008). Predicting muscle forces of individuals with hemiparesis following stroke. Journal of NeuroEngineering and Rehabilitation. 5(1). 7–7. 11 indexed citations

Maladen, Ryan D., Ramu Perumal, Anthony S. Wexler, & Stuart A. Binder‐Macleod. (2007). Effects of activation pattern on nonisometric human skeletal muscle performance. Journal of Applied Physiology. 102(5). 1985–1991. 23 indexed citations

10.

Maladen, Ryan D., Ramu Perumal, Anthony S. Wexler, & Stuart A. Binder‐Macleod. (2007). Relationship between stimulation train characteristics and dynamic human skeletal muscle performance. Acta Physiologica. 189(4). 337–346. 2 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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