Andrew Packard
- Control and Systems Engineering top 0.2%
- Advanced Control Systems Optimization 37
- Control Systems and Identification 35
- Stability and Control of Uncertain Systems 34
- Fault Detection and Control Systems 17
- Adaptive Control of Nonlinear Systems 9
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- Probabilistic and Robust Engineering Design 17
- Numerical Analysis top 2%
- Advanced Optimization Algorithms Research 12
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- Model Reduction and Neural Networks 13
- Co-authors
- John C. DoyleG. BeckerPeter SeilerMichael FrenklachUfuk TopcuWeehong TanRyan FeeleyMurat Arcak
- Cited by
- Control and Systems EngineeringStatistics, Probability and UncertaintyFluid Flow and Transfer Processes
- Journals
- IEEE Transactions on Automatic Control (10 papers)Automatica (7 papers)Journal of Guidance Control and Dynamics (4 papers)
- Partner nations
- United StatesGermanySingapore
In The Last Decade
Andrew Packard
111 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Control and Systems Engineering 2.8k
- Statistics, Probability and Uncertainty 536
- Fluid Flow and Transfer Processes 367
- Numerical Analysis 298
- Computational Theory and Mathematics 479
Countries citing papers authored by Andrew Packard
This map shows the geographic impact of Andrew Packard'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 Packard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Packard more than expected).
Fields of papers citing papers by Andrew Packard
This network shows the impact of papers produced by Andrew Packard. 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 Packard. The network helps show where Andrew Packard may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andrew Packard, 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 | 2021 | 11 | |
| 2 | 2020 | 8 | |
| 3 | 2020 | 2 | |
| 4 | 2017 | 29 | |
| 5 | 2015 | 1 | |
| 6 | 2014 | 10 | |
| 7 | 2014 | 14 | |
| 8 | 2012 | 14 | |
| 9 | 2010 | 12 | |
| 10 | 2009 | 15 | |
| 11 | 2009 | 88 | |
| 12 | 2009 | 4 | |
| 13 | 2003 | 1 | |
| 14 | 2000 | 3 | |
| 15 | 2000 | 25 | |
| 16 | 1999 | 13 | |
| 17 | 1997 | 5 | |
| 18 | 1994 | 5 | |
| 19 | 1987 | 19 | |
| 20 | 1987 | 10 |
About Andrew Packard
Andrew Packard is a scholar working on Control and Systems Engineering, Numerical Analysis, Statistics, Probability and Uncertainty, Statistical and Nonlinear Physics and Computational Theory and Mathematics, having authored 113 papers that have together received 4.0k indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (37 papers), Control Systems and Identification (35 papers), Stability and Control of Uncertain Systems (34 papers), Fault Detection and Control Systems (17 papers), Probabilistic and Robust Engineering Design (17 papers), Model Reduction and Neural Networks (13 papers), Advanced Optimization Algorithms Research (12 papers) and Adaptive Control of Nonlinear Systems (9 papers). The work is most often cited by research in Control and Systems Engineering (2.8k citations), Statistics, Probability and Uncertainty (536 citations), Fluid Flow and Transfer Processes (367 citations), Numerical Analysis (298 citations) and Computational Theory and Mathematics (479 citations). Andrew Packard has collaborated with scholars based in United States, Germany and Singapore. Frequent co-authors include John C. Doyle, G. Becker, Peter Seiler, Michael Frenklach, Ufuk Topcu, Weehong Tan, Ryan Feeley, Murat Arcak, Gary Balas and Pradeep Pandey. Their work appears in journals such as IEEE Transactions on Automatic Control, Automatica, Journal of Guidance Control and Dynamics, The Journal of Physical Chemistry A and Systems & Control Letters.
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.