Matthew Spenko

5.2k total citations · 3 hit papers
100 papers, 4.1k citations indexed

About

Matthew Spenko is a scholar working on Mechanics of Materials, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, Matthew Spenko has authored 100 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Mechanics of Materials, 37 papers in Biomedical Engineering and 26 papers in Mechanical Engineering. Recurrent topics in Matthew Spenko's work include Adhesion, Friction, and Surface Interactions (34 papers), Force Microscopy Techniques and Applications (19 papers) and Robotics and Sensor-Based Localization (17 papers). Matthew Spenko is often cited by papers focused on Adhesion, Friction, and Surface Interactions (34 papers), Force Microscopy Techniques and Applications (19 papers) and Robotics and Sensor-Based Localization (17 papers). Matthew Spenko collaborates with scholars based in United States, Iran and Canada. Matthew Spenko's co-authors include Mark R. Cutkosky, Daniel Santos, Steven Dubowsky, Sangbae Kim, Haoyong Yu, S. Trujillo, Barrett Heyneman, Arash Kalantari, Donald Ruffatto and Andrew Dittmore and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and ACS Applied Materials & Interfaces.

In The Last Decade

Matthew Spenko

97 papers receiving 3.9k citations

Hit Papers

Smooth Vertical Surface Climbing With Directional Adhesion 2006 2026 2012 2019 2008 2006 2016 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Spenko United States 27 2.1k 1.6k 1.2k 792 638 100 4.1k
Elliot W. Hawkes United States 44 4.0k 1.9× 737 0.5× 2.9k 2.4× 1.0k 1.3× 259 0.4× 106 5.8k
Hongwei Zhao China 40 1.7k 0.8× 1.2k 0.8× 2.3k 1.9× 1.8k 2.2× 566 0.9× 333 5.6k
Roger D. Quinn United States 43 3.8k 1.8× 390 0.3× 1.7k 1.4× 1.1k 1.4× 143 0.2× 230 5.8k
Aaron Parness United States 22 1.1k 0.5× 1.1k 0.7× 731 0.6× 398 0.5× 422 0.7× 58 2.2k
Gengkai Hu China 50 6.1k 2.9× 1.8k 1.2× 2.5k 2.1× 677 0.9× 846 1.3× 202 9.0k
Sergej Fatikow Germany 32 1.5k 0.7× 355 0.2× 846 0.7× 1.9k 2.4× 1.5k 2.3× 276 4.2k
Lining Sun China 37 2.3k 1.1× 228 0.1× 1.4k 1.2× 2.0k 2.5× 824 1.3× 394 4.8k
Yuanming Zhu United States 14 4.3k 2.0× 524 0.3× 822 0.7× 266 0.3× 367 0.6× 41 4.7k
Wenming Zhang China 33 990 0.5× 425 0.3× 1.4k 1.1× 954 1.2× 249 0.4× 105 3.2k
Lien-Wen Chen Taiwan 29 556 0.3× 1.3k 0.9× 519 0.4× 664 0.8× 246 0.4× 100 2.5k

Countries citing papers authored by Matthew Spenko

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Spenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Spenko

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Spenko. A scholar is included among the top collaborators of Matthew Spenko 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 Spenko. Matthew Spenko 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.
Spenko, Matthew, et al.. (2024). Fault-Free Integrity of Urban Driverless Vehicle Navigation with Multi-Sensor Integration: A Case Study in Downtown Chicago. NAVIGATION Journal of the Institute of Navigation. 71(1). navi.631–navi.631. 6 indexed citations
2.
Spenko, Matthew, et al.. (2024). A self-organizing robotic aggregate using solid and liquid-like collective states. Science Robotics. 9(86). eadh4130–eadh4130. 24 indexed citations
3.
Joerger, Mathieu, et al.. (2024). Quantifying mobile robot localization safety for an EKF-based SLAM estimator: An integrity monitoring approach. The International Journal of Robotics Research. 44(6). 972–988.
4.
Srivastava, Ankit, et al.. (2023). SLAM and Shape Estimation for Soft Robots. 9133–9138. 4 indexed citations
5.
Spenko, Matthew, et al.. (2022). Using R-Functions to Control the Shape of Soft Robots. IEEE Robotics and Automation Letters. 7(4). 8598–8603. 2 indexed citations
6.
Spenko, Matthew. (2021). Making Contact: A Review of Robotic Attachment Mechanisms for Extraterrestrial Applications. SHILAP Revista de lepidopterología. 5(3). 26 indexed citations
7.
Jaeger, Heinrich M., et al.. (2021). A Self-Reconfigurable Variable-Stiffness Soft Robot Based on Boundary-Constrained Modular Units. IEEE Transactions on Robotics. 38(2). 810–821. 23 indexed citations
8.
Spenko, Matthew, et al.. (2019). A microstructured adhesive gripper with piezoelectric controlled adhesion, cleaning, and sensing. Smart Materials and Structures. 28(11). 115037–115037. 10 indexed citations
9.
Spenko, Matthew, et al.. (2019). Development of a gecko-like robotic gripper using Scott–Russell mechanisms. Robotica. 38(3). 541–549. 14 indexed citations
10.
Joerger, Mathieu, et al.. (2019). Recursive Integrity Monitoring for Mobile Robot Localization Safety. 305–311. 22 indexed citations
11.
Spenko, Matthew, et al.. (2019). Evaluation of silicone elastomers as structural materials for microstructured adhesives. Bioinspiration & Biomimetics. 14(4). 46005–46005. 13 indexed citations
12.
Spenko, Matthew, et al.. (2019). Crosslinker and catalyst as silicone elastomer bonding enhancers: applications to fabrication of hybrid electrostatic/gecko-like adhesives. Journal of Micromechanics and Microengineering. 29(7). 77001–77001. 6 indexed citations
13.
Joerger, Mathieu, et al.. (2017). Landmark Data Selection and Unmapped Obstacle Detection in Lidar-Based Navigation. Proceedings of the Satellite Division's International Technical Meeting (Online). 1886–1903. 12 indexed citations
14.
Graule, Moritz A., Pakpong Chirarattananon, Sawyer B. Fuller, et al.. (2016). Perching and takeoff of a robotic insect on overhangs using switchable electrostatic adhesion. Science. 352(6288). 978–982. 279 indexed citations breakdown →
15.
Kalantari, Arash & Matthew Spenko. (2014). Modeling and Performance Assessment of the HyTAQ, a Hybrid Terrestrial/Aerial Quadrotor. IEEE Transactions on Robotics. 30(5). 1278–1285. 86 indexed citations
16.
Kalantari, Arash & Matthew Spenko. (2013). Design and experimental validation of HyTAQ, a Hybrid Terrestrial and Aerial Quadrotor. 4445–4450. 109 indexed citations
17.
Kim, Sangbae, Matthew Spenko, S. Trujillo, et al.. (2007). Whole body adhesion: hierarchical, directional and distributed control of adhesive forces for a climbing robot. Proceedings - IEEE International Conference on Robotics and Automation/Proceedings. 1268–1273. 208 indexed citations
18.
Spenko, Matthew, et al.. (2006). Foot design and integration for bioinspired climbing robots. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6230. 623019–623019. 27 indexed citations
19.
Autumn, Kellar, Andrew Dittmore, Daniel Santos, Matthew Spenko, & Mark R. Cutkosky. (2006). Frictional adhesion: a new angle on gecko attachment. Journal of Experimental Biology. 209(18). 3569–3579. 522 indexed citations breakdown →
20.
Forest, Craig R., et al.. (2002). Precision Assembly and Metrology of X-ray Foil Optics. 3 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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