Andrew J. Petruska

2.7k total citations · 2 hit papers
55 papers, 2.2k citations indexed

About

Andrew J. Petruska is a scholar working on Biomedical Engineering, Condensed Matter Physics and Mechanical Engineering. According to data from OpenAlex, Andrew J. Petruska has authored 55 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Biomedical Engineering, 25 papers in Condensed Matter Physics and 16 papers in Mechanical Engineering. Recurrent topics in Andrew J. Petruska's work include Micro and Nano Robotics (25 papers), Soft Robotics and Applications (14 papers) and Modular Robots and Swarm Intelligence (11 papers). Andrew J. Petruska is often cited by papers focused on Micro and Nano Robotics (25 papers), Soft Robotics and Applications (14 papers) and Modular Robots and Swarm Intelligence (11 papers). Andrew J. Petruska collaborates with scholars based in United States, Switzerland and China. Andrew J. Petruska's co-authors include Bradley J. Nelson, Jake J. Abbott, Mahmut Selman Sakar, Salvador Pané, Hen‐Wei Huang, Janis Edelmann, Eric Diller, Ayoung Hong, Ajmal Zemmar and Tian‐Yun Huang and has published in prestigious journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Andrew J. Petruska

53 papers receiving 2.2k citations

Hit Papers

Soft micromachines with programmable motility and morphology 2016 2026 2019 2022 2016 2019 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
Andrew J. Petruska United States 18 1.6k 1.5k 1.0k 162 141 55 2.2k
Islam S. M. Khalil Netherlands 26 1.7k 1.1× 1.8k 1.2× 1.1k 1.0× 149 0.9× 87 0.6× 123 2.4k
Antoine Ferreira France 28 1.5k 1.0× 1.2k 0.8× 782 0.7× 301 1.9× 97 0.7× 124 2.4k
Xiaoguang Dong United States 16 1.5k 1.0× 1.4k 0.9× 1.4k 1.3× 122 0.8× 81 0.6× 33 2.2k
Chenyang Huang China 19 830 0.5× 794 0.5× 653 0.6× 81 0.5× 91 0.6× 43 1.3k
Haojian Lu China 22 1.3k 0.8× 836 0.6× 920 0.9× 235 1.5× 269 1.9× 120 2.3k
Sehyuk Yim South Korea 12 1.2k 0.8× 1.1k 0.8× 716 0.7× 184 1.1× 89 0.6× 30 1.9k
Stefano Palagi Italy 16 1.4k 0.9× 1.3k 0.9× 1.2k 1.2× 125 0.8× 50 0.4× 40 2.1k
I. Kaliakatsos Switzerland 5 1.5k 1.0× 1.9k 1.3× 1.0k 1.0× 134 0.8× 78 0.6× 6 2.2k
Massimo Mastrangeli Netherlands 20 2.1k 1.4× 1.4k 0.9× 1.8k 1.7× 465 2.9× 69 0.5× 85 3.3k
Bradley E. Kratochvil Switzerland 22 2.7k 1.7× 3.0k 2.1× 1.7k 1.7× 342 2.1× 156 1.1× 42 3.8k

Countries citing papers authored by Andrew J. Petruska

Since Specialization
Citations

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

Fields of papers citing papers by Andrew J. Petruska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew J. Petruska. 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 Andrew J. Petruska. The network helps show where Andrew J. Petruska may publish in the future.

Co-authorship network of co-authors of Andrew J. Petruska

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew J. Petruska. A scholar is included among the top collaborators of Andrew J. Petruska 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 Andrew J. Petruska. Andrew J. Petruska 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.
Petruska, Andrew J., et al.. (2024). Magnetic needle steering control using Lyapunov redesign. The International Journal of Robotics Research. 43(11). 1676–1692. 1 indexed citations
2.
Petruska, Andrew J., et al.. (2024). Advancing Geotechnical Analysis with Octree-based Processing: Voxel-Level Integration of Mobile Laser Scanning Data, Geological Models, and Microseismic Data. Rock Mechanics and Rock Engineering. 57(4). 2661–2680. 1 indexed citations
3.
Segal, Ava D., et al.. (2024). Underground mine emergency evacuation planning: AR implementation and case study. 74–74. 1 indexed citations
5.
Petruska, Andrew J., et al.. (2023). Low-Profile Capacitive Load Cells for Underground Mining Material and Wear Classification to Promote Worker Safety. Mining Metallurgy & Exploration. 40(3). 757–771. 1 indexed citations
6.
Petruska, Andrew J., et al.. (2023). Coupling Magnetic Torque and Force for Colloidal Microbot Assembly and Manipulation. SHILAP Revista de lepidopterología. 5(12). 5 indexed citations
7.
Holley, Elizabeth, et al.. (2022). Analysis of SLAM-Based Lidar Data Quality Metrics for Geotechnical Underground Monitoring. Mining Metallurgy & Exploration. 39(5). 1939–1960. 12 indexed citations
8.
Ghezzi, Diego, et al.. (2022). Locomotion of Sensor‐Integrated Soft Robotic Devices Inside Sub‐Millimeter Arteries with Impaired Flow Conditions. SHILAP Revista de lepidopterología. 4(5). 19 indexed citations
9.
Shi, Xiaodong, Jiaoyang Li, Andrew J. Petruska, et al.. (2021). AI-Enabled Robotic NDE for Structural Damage Assessment and Repair. Materials Evaluation. 79(7). 739–751. 3 indexed citations
10.
Gordon, Joshua A., et al.. (2021). Unified Parameterization and Calibration of Serial, Parallel, and Hybrid Manipulators. Robotics. 10(4). 124–124. 7 indexed citations
11.
Petruska, Andrew J., et al.. (2020). Magnetically Steered Robotic Insertion of Cochlear-Implant Electrode Arrays: System Integration and First-In-Cadaver Results. IEEE Robotics and Automation Letters. 5(2). 2240–2247. 43 indexed citations
12.
Mathis-Ullrich, Franziska, et al.. (2017). A Robotic Diathermy System for Automated Capsulotomy. 3(1). 1850001–1850001. 6 indexed citations
13.
Edelmann, Janis, Andrew J. Petruska, & Bradley J. Nelson. (2017). Magnetic control of continuum devices. The International Journal of Robotics Research. 36(1). 68–85. 160 indexed citations
14.
Huang, Hen‐Wei, Mahmut Selman Sakar, Naveen Shamsudhin, et al.. (2016). Magnetic microrobots with addressable shape control. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1719–1724. 14 indexed citations
15.
Mathis-Ullrich, Franziska, et al.. (2016). Perforation forces of the intact porcine anterior lens capsule. Journal of the mechanical behavior of biomedical materials. 62. 347–354. 4 indexed citations
16.
Hong, Ayoung, Samuel Charreyron, Olgaç Ergeneman, et al.. (2016). Real-Time Holographic Tracking and Control of Microrobots. IEEE Robotics and Automation Letters. 2(1). 143–148. 17 indexed citations
17.
Petruska, Andrew J., et al.. (2015). First demonstration of a modular and reconfigurable magnetic-manipulation system. 149–155. 28 indexed citations
18.
Petruska, Andrew J. & Jake J. Abbott. (2014). Omnimagnet: An Omnidirectional Electromagnet for Controlled Dipole-Field Generation. IEEE Transactions on Magnetics. 50(7). 1–10. 56 indexed citations
19.
Petruska, Andrew J., Arthur W. Mahoney, & Jake J. Abbott. (2014). Remote Manipulation With a Stationary Computer-Controlled Magnetic Dipole Source. IEEE Transactions on Robotics. 30(5). 1222–1227. 27 indexed citations
20.
Petruska, Andrew J. & Jake J. Abbott. (2012). Optimal Permanent-Magnet Geometries for Dipole Field Approximation. IEEE Transactions on Magnetics. 49(2). 811–819. 151 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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