Patrick Musau
Impact in
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- Software Testing and Debugging Techniques
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- Adversarial Robustness in Machine Learning
- Neural Networks and Applications
Papers in
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- Adversarial Robustness in Machine Learning 8
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- Fault Detection and Control Systems 5
- Smart Grid Security and Resilience 4
- Advanced Control Systems Optimization 1
- Co-authors
- Diego Manzanas Lopez (11 shared papers)Taylor T. Johnson (10 shared papers)Hoang-Dung Tran (8 shared papers)Weiming Xiang (3 shared papers)Luan Viet Nguyen (3 shared papers)Xiaodong Yang (3 shared papers)Nathaniel Hamilton (4 shared papers)Radoslav Ivanov (1 shared paper)
- Journals
- Formal Aspects of Computing (1 paper)Electronic Proceedings in Theoretical Computer Science (1 paper)EPiC series in computing (4 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Patrick Musau
12 papers receiving 79 citations
Peers
Comparison fields: 5 of 30
- Software 14
- Artificial Intelligence 59
- Automotive Engineering 17
- Control and Systems Engineering 28
- Hardware and Architecture 7
Countries citing papers authored by Patrick Musau
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
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-authors
The 15 scholars most cited alongside Patrick Musau, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 26 | |
| 2 | 2022 | 9 | |
| 3 | 2019 | 8 | |
| 4 | 2019 | 7 | |
| 5 | 2021 | 7 | |
| 6 | 2020 | 6 | |
| 7 | 2022 | 6 | |
| 8 | 2022 | 5 | |
| 9 | 2020 | 3 | |
| 10 | 2020 | 2 | |
| 11 | 2022 | 1 | |
| 12 | 2023 | 1 | |
| 13 | 2018 | 0 |
About Patrick Musau
Patrick Musau is a scholar working on Artificial Intelligence, Control and Systems Engineering, Automotive Engineering, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 13 papers that have together received 81 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (8 papers), Fault Detection and Control Systems (5 papers), Smart Grid Security and Resilience (4 papers), Autonomous Vehicle Technology and Safety (4 papers), Vehicle Dynamics and Control Systems (1 paper), Advanced Malware Detection Techniques (1 paper), Advanced Control Systems Optimization (1 paper) and Software Testing and Debugging Techniques (1 paper). The work is most often cited by research in Software (14 citations), Artificial Intelligence (59 citations), Automotive Engineering (17 citations), Control and Systems Engineering (28 citations) and Hardware and Architecture (7 citations). Patrick Musau has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Diego Manzanas Lopez, Taylor T. Johnson, Hoang-Dung Tran, Weiming Xiang, Luan Viet Nguyen, Xiaodong Yang, Nathaniel Hamilton, Radoslav Ivanov, Chao Huang and Bradley Potteiger. Their work appears in journals such as Formal Aspects of Computing, Electronic Proceedings in Theoretical Computer Science and EPiC series in computing.
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.