Andrew Singletary

1.2k total citations
20 papers, 586 citations indexed

About

Andrew Singletary is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Andrew Singletary has authored 20 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Control and Systems Engineering, 8 papers in Computer Vision and Pattern Recognition and 5 papers in Computational Theory and Mathematics. Recurrent topics in Andrew Singletary's work include Advanced Control Systems Optimization (9 papers), Robotic Path Planning Algorithms (8 papers) and Fault Detection and Control Systems (5 papers). Andrew Singletary is often cited by papers focused on Advanced Control Systems Optimization (9 papers), Robotic Path Planning Algorithms (8 papers) and Fault Detection and Control Systems (5 papers). Andrew Singletary collaborates with scholars based in United States, Italy and Saudi Arabia. Andrew Singletary's co-authors include Aaron D. Ames, Yuxiao Chen, Thomas Gurriet, Tamás G. Molnár, Petter Nilsson, Andrew J. Taylor, Andrew C. Browning, Yisong Yue, Gábor Orosz and Éric Féron and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Access and IEEE Robotics and Automation Letters.

In The Last Decade

Andrew Singletary

20 papers receiving 574 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Singletary United States 14 370 183 94 89 89 20 586
Ahmad Fakharian Iran 15 548 1.5× 97 0.5× 70 0.7× 40 0.4× 58 0.7× 134 797
Wang Yao-nan China 11 261 0.7× 87 0.5× 110 1.2× 39 0.4× 39 0.4× 104 530
Paul Glotfelter United States 9 287 0.8× 158 0.9× 90 1.0× 57 0.6× 96 1.1× 11 540
Ming-Ying Hsiao Taiwan 8 258 0.7× 103 0.6× 137 1.5× 27 0.3× 36 0.4× 24 424
Zhuo‐Yun Nie China 17 716 1.9× 82 0.4× 212 2.3× 22 0.2× 62 0.7× 46 878
E. Aranda-Bricaire Mexico 14 620 1.7× 141 0.8× 34 0.4× 31 0.3× 38 0.4× 70 756
Humin Lei China 14 643 1.7× 66 0.4× 99 1.1× 45 0.5× 196 2.2× 73 880
Bin Guo China 13 391 1.1× 43 0.2× 70 0.7× 71 0.8× 51 0.6× 44 514
Aldo Jonathan Muñoz‐Vázquez Mexico 20 1.1k 2.9× 92 0.5× 83 0.9× 40 0.4× 92 1.0× 83 1.4k

Countries citing papers authored by Andrew Singletary

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Singletary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Singletary

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Singletary. A scholar is included among the top collaborators of Andrew Singletary 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 Singletary. Andrew Singletary 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.
Ferraguti, Federica, Chiara Talignani Landi, Andrew Singletary, et al.. (2022). Safety and Efficiency in Robotics: The Control Barrier Functions Approach. IEEE Robotics & Automation Magazine. 29(3). 139–151. 38 indexed citations
2.
Singletary, Andrew, et al.. (2022). Safety-Critical Manipulation for Collision-Free Food Preparation. IEEE Robotics and Automation Letters. 7(4). 10954–10961. 33 indexed citations
3.
Singletary, Andrew, et al.. (2022). Onboard Safety Guarantees for Racing Drones: High-Speed Geofencing With Control Barrier Functions. IEEE Robotics and Automation Letters. 7(2). 2897–2904. 33 indexed citations
4.
Singletary, Andrew, Mohamadreza Ahmadi, & Aaron D. Ames. (2022). Safe Control for Nonlinear Systems With Stochastic Uncertainty via Risk Control Barrier Functions. IEEE Control Systems Letters. 7. 349–354. 16 indexed citations
5.
Rosolia, Ugo, Andrew Singletary, & Aaron D. Ames. (2022). Unified Multirate Control: From Low-Level Actuation to High-Level Planning. IEEE Transactions on Automatic Control. 67(12). 6627–6640. 21 indexed citations
6.
Singletary, Andrew, et al.. (2022). Safe Drone Flight with Time-Varying Backup Controllers. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 4577–4584. 6 indexed citations
7.
Singletary, Andrew, et al.. (2021). Measurement-Robust Control Barrier Functions: Certainty in Safety with Uncertainty in State. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 6286–6291. 23 indexed citations
8.
Singletary, Andrew, et al.. (2021). Comparative Analysis of Control Barrier Functions and Artificial Potential Fields for Obstacle Avoidance. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 8129–8136. 94 indexed citations
9.
Taylor, Andrew J., Andrew Singletary, Yisong Yue, & Aaron D. Ames. (2020). A Control Barrier Perspective on Episodic Learning via Projection-to-State Safety. IEEE Control Systems Letters. 5(3). 1019–1024. 25 indexed citations
10.
Molnár, Tamás G., Andrew Singletary, Gábor Orosz, & Aaron D. Ames. (2020). Safety-Critical Control of Compartmental Epidemiological Models With Measurement Delays. IEEE Control Systems Letters. 5(5). 1537–1542. 23 indexed citations
11.
Taylor, Andrew J., Andrew Singletary, Yisong Yue, & Aaron D. Ames. (2020). Learning for Safety-Critical Control with Control Barrier Functions. CaltechAUTHORS (California Institute of Technology). 708–717. 27 indexed citations
12.
Ames, Aaron D., Tamás G. Molnár, Andrew Singletary, & Gábor Orosz. (2020). Safety-Critical Control of Active Interventions for COVID-19 Mitigation. IEEE Access. 8. 188454–188474. 23 indexed citations
13.
Singletary, Andrew, Thomas Gurriet, Petter Nilsson, & Aaron D. Ames. (2020). Safety-Critical Rapid Aerial Exploration of Unknown Environments. 10 indexed citations
14.
Chen, Yuxiao, Andrew Singletary, & Aaron D. Ames. (2020). Guaranteed Obstacle Avoidance for Multi-Robot Operations With Limited Actuation: A Control Barrier Function Approach. IEEE Control Systems Letters. 5(1). 127–132. 110 indexed citations
15.
Chen, Yuxiao, Andrew Singletary, & Aaron D. Ames. (2020). Density Functions for Guaranteed Safety on Robotic Systems. 3199–3204. 3 indexed citations
16.
Gurriet, Thomas, Mark Mote, Andrew Singletary, et al.. (2020). A Scalable Safety Critical Control Framework for Nonlinear Systems. IEEE Access. 8. 187249–187275. 48 indexed citations
17.
Xiong, Xiaobin, et al.. (2019). Optimal Motion Planning for Multi-Modal Hybrid Locomotion. 1 indexed citations
18.
Singletary, Andrew, Petter Nilsson, Thomas Gurriet, & Aaron D. Ames. (2019). Online Active Safety for Robotic Manipulators. 173–178. 26 indexed citations
19.
Gurriet, Thomas, Mark Mote, Andrew Singletary, Éric Féron, & Aaron D. Ames. (2019). A Scalable Controlled Set Invariance Framework with Practical Safety Guarantees. 2046–2053. 13 indexed citations
20.
Gurriet, Thomas, Petter Nilsson, Andrew Singletary, & Aaron D. Ames. (2019). Realizable Set Invariance Conditions for Cyber-Physical Systems. 3642–3649. 13 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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