Andrew Lamperski
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- Advanced Control Systems Optimization 11
- Stability and Control of Uncertain Systems 10
- Control Systems and Identification 5
- Adaptive Control of Nonlinear Systems 3
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- Formal Methods in Verification 4
- Optimization and Variational Analysis 3
- Adaptive Dynamic Programming Control 3
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- Reinforcement Learning in Robotics 4
- Co-authors
- John C. DoyleAaron D. AmesLaurent LessardNoah J. CowanJianjun YuanOwen LohThéoden I. NetoffTichakorn Wongpiromsarn
- Cited by
- Control and Systems EngineeringComputational Theory and MathematicsComputer Networks and Communications
- Journals
- IEEE Transactions on Automatic Control (6 papers)Automatica (1 paper)IEEE Transactions on Signal Processing (1 paper)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Andrew Lamperski
41 papers receiving 609 citations
Peers
Comparison fields: 5 of 93
- Control and Systems Engineering 300
- Computational Theory and Mathematics 129
- Computer Networks and Communications 133
- Management Science and Operations Research 57
- Software 13
Countries citing papers authored by Andrew Lamperski
This map shows the geographic impact of Andrew Lamperski'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 Andrew Lamperski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Lamperski more than expected).
Fields of papers citing papers by Andrew Lamperski
This network shows the impact of papers produced by Andrew Lamperski. 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 Andrew Lamperski. The network helps show where Andrew Lamperski may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andrew Lamperski, 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 | 2024 | 1 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 12 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 3 | |
| 6 | 2021 | 15 | |
| 7 | 2021 | 6 | |
| 8 | 2021 | 0 | |
| 9 | 2021 | 1 | |
| 10 | 2021 | 18 | |
| 11 | 2019 | 2 | |
| 12 | Online convex optimization for cumulative constraints | 2018 | 29 |
| 13 | 2017 | 8 | |
| 14 | 2017 | 3 | |
| 15 | 2015 | 51 | |
| 16 | The $H_2$ Control Problem for Decentralized Systems with Delays. | 2013 | 7 |
| 17 | 2013 | 3 | |
| 18 | 2012 | 51 | |
| 19 | 2009 | 3 | |
| 20 | 2008 | 56 |
About Andrew Lamperski
Andrew Lamperski is a scholar working on Control and Systems Engineering, Computational Theory and Mathematics and Statistical and Nonlinear Physics, having authored 45 papers that have together received 632 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (11 papers), Stability and Control of Uncertain Systems (10 papers), Control Systems and Identification (5 papers), Reinforcement Learning in Robotics (4 papers), Formal Methods in Verification (4 papers), Optimization and Variational Analysis (3 papers), Adaptive Control of Nonlinear Systems (3 papers) and Adaptive Dynamic Programming Control (3 papers). The work is most often cited by research in Control and Systems Engineering (300 citations), Computational Theory and Mathematics (129 citations) and Computer Networks and Communications (133 citations). Andrew Lamperski has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include John C. Doyle, Aaron D. Ames, Laurent Lessard, Noah J. Cowan, Jianjun Yuan, Owen Loh, Théoden I. Netoff, Tichakorn Wongpiromsarn, Robert J. Full and Ufuk Topcu. Their work appears in journals such as IEEE Transactions on Automatic Control, Automatica and IEEE Transactions on Signal Processing.
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.