Alexander Robey

581 total citations
14 papers, 67 citations indexed

About

Alexander Robey is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Alexander Robey has authored 14 papers receiving a total of 67 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Control and Systems Engineering. Recurrent topics in Alexander Robey's work include Adversarial Robustness in Machine Learning (6 papers), Anomaly Detection Techniques and Applications (4 papers) and Machine Learning and Algorithms (3 papers). Alexander Robey is often cited by papers focused on Adversarial Robustness in Machine Learning (6 papers), Anomaly Detection Techniques and Applications (4 papers) and Machine Learning and Algorithms (3 papers). Alexander Robey collaborates with scholars based in United States and Australia. Alexander Robey's co-authors include Hamed Hassani, Vidya Ganapati, George J. Pappas, Edgar Dobriban, Eric Wong, Lars Lindemann, Nikolai Matni, David Hong, Stephen Tu and Corina S. Păsăreanu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Information Theory and Optics Express.

In The Last Decade

Alexander Robey

10 papers receiving 63 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexander Robey United States 6 33 14 10 9 8 14 67
C. H. Kim South Korea 5 10 0.3× 5 0.4× 8 0.8× 3 0.3× 14 1.8× 7 60
Majid Janzamin United States 7 28 0.8× 10 0.7× 2 0.2× 3 0.3× 2 0.3× 11 79
Clyde C. W. Robson Sweden 7 8 0.2× 12 0.9× 21 2.1× 6 0.7× 4 0.5× 14 80
Gongde Guo China 5 40 1.2× 12 0.9× 2 0.2× 3 0.3× 1 0.1× 10 61
Chao Chang China 5 56 1.7× 12 0.9× 2 0.2× 3 0.3× 5 0.6× 12 90
Kofi P. Adragni United States 6 35 1.1× 15 1.1× 6 0.6× 1 0.1× 1 0.1× 10 100
Qingcan Wang United States 3 28 0.8× 7 0.5× 6 0.6× 2 0.2× 4 62
Ling Qian China 5 31 0.9× 13 0.9× 9 1.0× 27 65
Xiyu Zhai United States 5 78 2.4× 25 1.8× 2 0.2× 2 0.2× 5 95
Owen Lockwood United States 4 99 3.0× 3 0.2× 8 0.8× 14 1.6× 5 124

Countries citing papers authored by Alexander Robey

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Robey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Robey

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

All Works

14 of 14 papers shown
1.
Robey, Alexander, et al.. (2026). Safety Guardrails for LLM-Enabled Robots. IEEE Robotics and Automation Letters. 11(4). 4649–4656.
2.
Robey, Alexander, et al.. (2025). Jailbreaking LLM-Controlled Robots. 11948–11956. 1 indexed citations
3.
Robey, Alexander, et al.. (2025). Jailbreaking Black Box Large Language Models in Twenty Queries. 23–42. 15 indexed citations
4.
Andriushchenko, Maksym, Francesco Croce, Edgar Dobriban, et al.. (2024). JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models. 55005–55029.
5.
Lindemann, Lars, et al.. (2024). Learning Robust Output Control Barrier Functions From Safe Expert Demonstrations. SHILAP Revista de lepidopterología. 3. 158–172. 8 indexed citations
6.
Dobriban, Edgar, Hamed Hassani, David Hong, & Alexander Robey. (2023). Provable Tradeoffs in Adversarially Robust Classification. IEEE Transactions on Information Theory. 69(12). 7793–7822. 4 indexed citations
7.
Wu, Haoze, Alexander Robey, Nikolai Matni, et al.. (2023). Toward Certified Robustness Against Real-World Distribution Shifts. 537–553. 5 indexed citations
8.
Lindemann, Lars, et al.. (2022). Chordal Sparsity for Lipschitz Constant Estimation of Deep Neural Networks. 2022 IEEE 61st Conference on Decision and Control (CDC). 3389–3396. 2 indexed citations
9.
Robey, Alexander, et al.. (2021). Optimal Algorithms for Submodular Maximization with Distributed Constraints. 150–162. 6 indexed citations
10.
Robey, Alexander, Luiz F. O. Chamon, George J. Pappas, Hamed Hassani, & Alejandro Ribeiro. (2021). Adversarial Robustness with Semi-Infinite Constrained Learning. arXiv (Cornell University). 34.
11.
Robey, Alexander, Hamed Hassani, & George J. Pappas. (2020). Model-Based Robust Deep Learning.. arXiv (Cornell University). 8 indexed citations
12.
Lindemann, Lars, Haimin Hu, Alexander Robey, et al.. (2020). Learning Hybrid Control Barrier Functions from Data. arXiv (Cornell University). 1351–1370. 1 indexed citations
13.
Robey, Alexander & Vidya Ganapati. (2018). Optimal physical preprocessing for example-based super-resolution. Optics Express. 26(24). 31333–31333. 16 indexed citations
14.
Robey, Alexander, Geoff West, & Svetha Venkatesh. (2002). An investigation into the use of physical modelling for the prediction of various feature types visible from different view points. Deakin Research Online (Deakin University). 282–290. 1 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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