Asriel U. Levin
Impact in
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- Adaptive Control of Nonlinear Systems
- Control Systems and Identification
- Advanced Control Systems Optimization
- Fault Detection and Control Systems
- Iterative Learning Control Systems
- Advanced Algorithms and Applications
- Artificial Intelligence top 5%
- Neural Networks and Applications
Papers in
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- Neural Networks and Applications 9
- Neural Networks and Reservoir Computing 1
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- Control Systems and Identification 7
- Fault Detection and Control Systems 4
- Advanced Control Systems Optimization 1
- Co-authors
- Kumpati S. Narendra (7 shared papers)
- Journals
- International Journal of Control (1 paper)Neural Computation (1 paper)OHSU Digital Commons (1 paper)IEEE Transactions on Neural Networks (2 papers)
- Partner nations
- United StatesJapan
In The Last Decade
Asriel U. Levin
8 papers receiving 644 citations
Peers
Comparison fields: 5 of 71
- Control and Systems Engineering 545
- Artificial Intelligence 313
- Statistical and Nonlinear Physics 54
- Computational Theory and Mathematics 53
- Computational Mathematics 1
Countries citing papers authored by Asriel U. Levin
This map shows the geographic impact of Asriel U. Levin'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 Asriel U. Levin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Asriel U. Levin more than expected).
Fields of papers citing papers by Asriel U. Levin
This network shows the impact of papers produced by Asriel U. Levin. 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 Asriel U. Levin. The network helps show where Asriel U. Levin may publish in the future.
Co-authors
The 1 scholars most cited alongside Asriel U. Levin, 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 | 1996 | 323 | |
| 2 | 1993 | 267 | |
| 3 | 1995 | 41 | |
| 4 | 1995 | 40 | |
| 5 | 1991 | 8 | |
| 6 | Neural networks in dynamical systems: a system theoretic approach | 1992 | 6 |
| 7 | 2018 | 5 | |
| 8 | 2003 | 2 | |
| 9 | Stabilization of Non-linear Dynamical Systems Using Neural Networks | 1992 | 0 |
About Asriel U. Levin
Asriel U. Levin is a scholar working on Artificial Intelligence, Control and Systems Engineering, Statistical and Nonlinear Physics, Infectious Diseases and Organic Chemistry, having authored 9 papers that have together received 692 indexed citations. Recurring topics across this work include Neural Networks and Applications (9 papers), Control Systems and Identification (7 papers), Fault Detection and Control Systems (4 papers), Model Reduction and Neural Networks (2 papers), Complex Network Analysis Techniques (1 paper), Neural Networks and Reservoir Computing (1 paper) and Advanced Control Systems Optimization (1 paper). The work is most often cited by research in Control and Systems Engineering (545 citations), Artificial Intelligence (313 citations), Statistical and Nonlinear Physics (54 citations), Computational Theory and Mathematics (53 citations) and Computational Mathematics (1 citation). Asriel U. Levin has collaborated with scholars based in United States and Japan. Frequent co-authors include Kumpati S. Narendra. Their work appears in journals such as International Journal of Control, Neural Computation, OHSU Digital Commons and IEEE Transactions on Neural Networks.
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.