Patrick Musau

541 total citations
13 papers, 81 citations indexed

About

Patrick Musau is a scholar working on Artificial Intelligence, Control and Systems Engineering and Automotive Engineering. According to data from OpenAlex, Patrick Musau has authored 13 papers receiving a total of 81 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Control and Systems Engineering and 4 papers in Automotive Engineering. Recurrent topics in Patrick Musau's work include Adversarial Robustness in Machine Learning (8 papers), Fault Detection and Control Systems (5 papers) and Smart Grid Security and Resilience (4 papers). Patrick Musau is often cited by papers focused on Adversarial Robustness in Machine Learning (8 papers), Fault Detection and Control Systems (5 papers) and Smart Grid Security and Resilience (4 papers). Patrick Musau collaborates with scholars based in United States and United Kingdom. Patrick Musau's co-authors include Diego Manzanas Lopez, Taylor T. Johnson, Hoang-Dung Tran, Xiaodong Yang, Luan Viet Nguyen, Weiming Xiang, Nathaniel Hamilton, Jiameng Fan, Chao Huang and Bradley Potteiger and has published in prestigious journals such as Formal Aspects of Computing, Electronic Proceedings in Theoretical Computer Science and EPiC series in computing.

In The Last Decade

Patrick Musau

12 papers receiving 79 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patrick Musau United States 7 59 28 17 14 13 13 81
Diego Manzanas Lopez United States 8 92 1.6× 45 1.6× 19 1.1× 24 1.7× 19 1.5× 18 125
Georg Nührenberg Germany 4 55 0.9× 8 0.3× 8 0.5× 13 0.9× 3 0.2× 4 69
Kai Xiao United States 4 119 2.0× 19 0.7× 4 0.2× 10 0.7× 5 0.4× 5 141
Alexandre Chapoutot France 5 23 0.4× 19 0.7× 2 0.1× 15 1.1× 48 3.7× 22 69
Jan-David Quesel United States 2 43 0.7× 17 0.6× 4 0.2× 33 2.4× 80 6.2× 3 95
André Biedenkapp Germany 4 67 1.1× 11 0.4× 3 0.2× 4 0.3× 24 1.8× 7 90
Tetsuo Ida Japan 7 58 1.0× 9 0.3× 2 0.1× 15 1.1× 36 2.8× 37 117
Mikel Azkarate-Askasua Spain 9 26 0.4× 16 0.6× 9 0.5× 28 2.0× 21 1.6× 23 253
Emmanuel Grolleau France 8 13 0.2× 14 0.5× 8 0.5× 6 0.4× 61 4.7× 44 170
Bohua Zhan China 6 35 0.6× 5 0.2× 18 1.3× 37 2.8× 22 102

Countries citing papers authored by Patrick Musau

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Musau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrick Musau

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

All Works

13 of 13 papers shown
1.
Bogomolov, Sergiy, et al.. (2023). Online Reachability Analysis and Space Convexification for Autonomous Racing. Electronic Proceedings in Theoretical Computer Science. 395. 95–112. 1 indexed citations
2.
Musau, Patrick, et al.. (2022). Table of Contents. 5–7. 1 indexed citations
3.
Hamilton, Nathaniel, Patrick Musau, Diego Manzanas Lopez, & Taylor T. Johnson. (2022). Zero-Shot Policy Transfer in Autonomous Racing: Reinforcement Learning vs Imitation Learning. 11–20. 9 indexed citations
4.
Potteiger, Bradley, et al.. (2022). Discovery of AI/ML Supply Chain Vulnerabilities within Automotive Cyber-Physical Systems. 93–96. 5 indexed citations
5.
Musau, Patrick, et al.. (2022). On Using Real-Time Reachability for the Safety Assurance of Machine Learning Controllers. 1–10. 6 indexed citations
6.
Tran, Hoang-Dung, Diego Manzanas Lopez, Patrick Musau, et al.. (2021). Verification of piecewise deep neural networks: a star set approach with zonotope pre-filter. Formal Aspects of Computing. 33(4-5). 519–545. 7 indexed citations
7.
Tran, Hoang-Dung, Diego Manzanas Lopez, Xiaodong Yang, et al.. (2020). Demo: The Neural Network Verification (NNV) Tool. 2 indexed citations
8.
Johnson, Taylor T., Diego Manzanas Lopez, Patrick Musau, et al.. (2020). ARCH-COMP20 Category Report: Artificial Intelligence and Neural Network Control Systems (AINNCS) for Continuous and Hybrid Systems Plants. EPiC series in computing. 74. 107–73. 6 indexed citations
9.
Lopez, Diego Manzanas, et al.. (2020). Case Study: Safety Verification of an Unmanned Underwater Vehicle. 189–195. 3 indexed citations
10.
Lopez, Diego Manzanas, Patrick Musau, Hoang-Dung Tran, et al.. (2019). ARCH-COMP19 Category Report: Artificial Intelligence and Neural Network Control Systems (AINNCS) for Continuous and Hybrid Systems Plants. EPiC series in computing. 61. 103–85. 7 indexed citations
11.
Lopez, Diego Manzanas, Patrick Musau, Hoang-Dung Tran, & Taylor T. Johnson. (2019). Verification of Closed-loop Systems with Neural Network Controllers. EPiC series in computing. 61. 201–190. 8 indexed citations
12.
Tran, Hoang-Dung, Patrick Musau, Diego Manzanas Lopez, et al.. (2019). Parallelizable Reachability Analysis Algorithms for Feed-Forward Neural Networks. 51–60. 26 indexed citations
13.
Musau, Patrick, Diego Manzanas Lopez, Hoang-Dung Tran, & Taylor T. Johnson. (2018). Linear Differential-Algebraic Equations (Benchmark Proposal). EPiC series in computing. 54. 174–162.

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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