Andy Packard
- Control and Systems Engineering top 0.2%
- Stability and Control of Uncertain Systems 31
- Control Systems and Identification 20
- Adaptive Control of Nonlinear Systems 15
- Advanced Control Systems Optimization 13
- Numerical Analysis top 2%
- Numerical methods for differential equations 6
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- Probabilistic and Robust Engineering Design 6
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- Matrix Theory and Algorithms 9
- Automotive Engineering top 2%
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- Model Reduction and Neural Networks 5
- Journals
- IEEE Transactions on Automatic Control (5 papers)Systems & Control Letters (3 papers)Journal of Guidance Control and Dynamics (2 papers)
- Partner nations
- United StatesSouth AfricaUnited Kingdom
In The Last Decade
Andy Packard
61 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Control and Systems Engineering 3.3k
- Numerical Analysis 253
- Statistics, Probability and Uncertainty 293
- Computational Theory and Mathematics 429
- Automotive Engineering 317
Countries citing papers authored by Andy Packard
This map shows the geographic impact of Andy 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 Andy Packard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andy Packard more than expected).
Fields of papers citing papers by Andy Packard
This network shows the impact of papers produced by Andy 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 Andy Packard. The network helps show where Andy Packard may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andy 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 | Robust Control Toolbox™ User's Guide | 2015 | 40 |
| 2 | 2006 | 46 | |
| 3 | 2004 | 132 | |
| 4 | 2004 | 12 | |
| 5 | 2003 | 48 | |
| 6 | 2001 | 18 | |
| 7 | 2000 | 13 | |
| 8 | 2000 | 126 | |
| 9 | 1999 | 0 | |
| 10 | μ-analysis and synthesis toolbox: for use with Matlab, user’s guide version 3 | 1998 | 122 |
| 11 | 1998 | 20 | |
| 12 | 1998 | 20 | |
| 13 | 1997 | 11 | |
| 14 | 1995 | 16 | |
| 15 | 1995 | 9 | |
| 16 | Theoretical and Computational Aspects of the Structured Singular Value (数値的最適化アプロ-チによる制御理論 ) | 1994 | 1 |
| 17 | 1992 | 99 | |
| 18 | Review of LFTs, LMIs, and mu. [Linear Fractional Transformations, Linear Matrix Inequalities | 1991 | 2 |
| 19 | 1991 | 9 | |
| 20 | 1991 | 22 |
About Andy Packard
Andy Packard is a scholar working on Control and Systems Engineering, Numerical Analysis and Computational Theory and Mathematics, having authored 64 papers that have together received 3.9k indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (31 papers), Control Systems and Identification (20 papers), Adaptive Control of Nonlinear Systems (15 papers), Advanced Control Systems Optimization (13 papers), Matrix Theory and Algorithms (9 papers), Probabilistic and Robust Engineering Design (6 papers), Numerical methods for differential equations (6 papers) and Model Reduction and Neural Networks (5 papers). The work is most often cited by research in Control and Systems Engineering (3.3k citations), Numerical Analysis (253 citations) and Statistics, Probability and Uncertainty (293 citations). Andy Packard has collaborated with scholars based in United States, South Africa and United Kingdom. Frequent co-authors include Fen Wu, G. Becker, Xin Hua Yang, John C. Doyle, Gary Balas, Kemin Zhou, K. Glover, Weehong Tan, J. H. Doyle and G.J. Balas. Their work appears in journals such as IEEE Transactions on Automatic Control, Systems & Control Letters, Journal of Guidance Control and Dynamics, Journal of Dynamic Systems Measurement and Control and International Journal of Robust and Nonlinear Control.
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.