A. S. Willsky
- Control and Systems Engineering top 1%
- Mechanical Engineering top 10%
- Statistics, Probability and Uncertainty top 1%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Co-authors
- Elaine ChowJohn W. FisherJun-Mo KimAnthony YezziMüjdat ÇetinDmitry MalioutovSujay SanghaviSteven I. Marcus
- Topics
- Fault Detection and Control Systems (6 papers)Control Systems and Identification (5 papers)Advanced Control Systems Optimization (1 paper)
- Cited by
- Control and Systems EngineeringStatistics, Probability and UncertaintyComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Automatic ControlProceedings of the IEEEIEEE Transactions on Information Theory
- Partner nations
- United StatesTürkiye
In The Last Decade
A. S. Willsky
12 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Control and Systems Engineering 1.0k
- Mechanical Engineering 232
- Statistics, Probability and Uncertainty 193
- Computer Vision and Pattern Recognition 180
- Artificial Intelligence 156
Countries citing papers authored by A. S. Willsky
This map shows the geographic impact of A. S. Willsky'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 A. S. Willsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. S. Willsky more than expected).
Fields of papers citing papers by A. S. Willsky
This network shows the impact of papers produced by A. S. Willsky. 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 A. S. Willsky. The network helps show where A. S. Willsky may publish in the future.
Co-authorship network of co-authors of A. S. Willsky
This figure shows the co-authorship network connecting the top 25 collaborators of A. S. Willsky. A scholar is included among the top collaborators of A. S. Willsky 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 A. S. Willsky. A. S. Willsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 40 | |
| 2 | 5 | |
| 3 | 205 | |
| 4 | 4 | |
| 5 | A design methodology for robust failure detection and isolation | 1 |
| 6 | Analytical redundancy and the design of robust failure detection systemsbreakdown → | 1015 |
| 7 | 8 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 15 |
About A. S. Willsky
A. S. Willsky is a scholar working on Statistics, Probability and Uncertainty, Control and Systems Engineering and Bioengineering, having authored 12 papers that have together received 1.3k indexed citations. Recurring topics across this work include Fault Detection and Control Systems (6 papers), Control Systems and Identification (5 papers) and Advanced Control Systems Optimization (1 paper). The work is most often cited by research in Control and Systems Engineering (1.0k citations), Statistics, Probability and Uncertainty (193 citations) and Computer Vision and Pattern Recognition (180 citations). A. S. Willsky has collaborated with scholars based in United States and Türkiye. Frequent co-authors include Elaine Chow, John W. Fisher, Jun-Mo Kim, Anthony Yezzi, Müjdat Çetin, Dmitry Malioutov, Sujay Sanghavi, Steven I. Marcus, David A. Castañón and Bernard C. Levy. Their work appears in journals such as IEEE Transactions on Automatic Control, Proceedings of the IEEE and IEEE Transactions on Information Theory.
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.