Patrick Walters
Impact in
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- Adaptive Dynamic Programming Control
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- Adaptive Control of Nonlinear Systems
- Advanced Control Systems Optimization
- Control and Dynamics of Mobile Robots
Papers in
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- Adaptive Dynamic Programming Control 14
- Optimization and Variational Analysis 2
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- Adaptive Control of Nonlinear Systems 7
- Advanced Control Systems Optimization 2
- Stability and Control of Uncertain Systems 1
- Co-authors
- Warren E. Dixon (15 shared papers)Rushikesh Kamalapurkar (14 shared papers)Nicholas Fischer (1 shared paper)Eric M. Schwartz (1 shared paper)Joel A. Rosenfeld (7 shared papers)
- Journals
- Automatica (1 paper)IEEE Transactions on Robotics (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)Communications and control engineering (7 papers)Elsevier eBooks (1 paper)
- Partner nations
- United States
In The Last Decade
Patrick Walters
14 papers receiving 648 citations
Peers
Comparison fields: 5 of 51
- Computational Theory and Mathematics 394
- Control and Systems Engineering 438
- Artificial Intelligence 229
- Ocean Engineering 100
- Biomedical Engineering 93
Countries citing papers authored by Patrick Walters
This map shows the geographic impact of Patrick Walters'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 Walters with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Walters more than expected).
Fields of papers citing papers by Patrick Walters
This network shows the impact of papers produced by Patrick Walters. 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 Walters. The network helps show where Patrick Walters may publish in the future.
Co-authors
The 5 scholars most cited alongside Patrick Walters, 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 | 2014 | 195 | |
| 2 | 2015 | 159 | |
| 3 | 2016 | 122 | |
| 4 | 2018 | 103 | |
| 5 | 2013 | 25 | |
| 6 | 2014 | 12 | |
| 7 | 2018 | 10 | |
| 8 | 2015 | 9 | |
| 9 | 2016 | 9 | |
| 10 | 2014 | 8 | |
| 11 | 2018 | 3 | |
| 12 | 2018 | 1 | |
| 13 | 2018 | 1 | |
| 14 | 2018 | 1 | |
| 15 | 2018 | 0 |
About Patrick Walters
Patrick Walters is a scholar working on Computational Theory and Mathematics, Control and Systems Engineering, Artificial Intelligence, Biomedical Engineering and Ocean Engineering, having authored 15 papers that have together received 658 indexed citations. Recurring topics across this work include Adaptive Dynamic Programming Control (14 papers), Reinforcement Learning in Robotics (10 papers), Adaptive Control of Nonlinear Systems (7 papers), Mechanical Circulatory Support Devices (4 papers), Optimization and Variational Analysis (2 papers), Advanced Control Systems Optimization (2 papers), Stability and Control of Uncertain Systems (1 paper) and Underwater Vehicles and Communication Systems (1 paper). The work is most often cited by research in Computational Theory and Mathematics (394 citations), Control and Systems Engineering (438 citations), Artificial Intelligence (229 citations), Ocean Engineering (100 citations) and Biomedical Engineering (93 citations). Patrick Walters has collaborated with scholars based in United States. Frequent co-authors include Warren E. Dixon, Rushikesh Kamalapurkar, Nicholas Fischer, Eric M. Schwartz and Joel A. Rosenfeld. Their work appears in journals such as Automatica, IEEE Transactions on Robotics, IEEE Transactions on Neural Networks and Learning Systems, Communications and control engineering and Elsevier eBooks.
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.