Andrew Packard

6.0k total citations · 2 hit papers
113 papers, 4.0k citations indexed

About

Andrew Packard is a scholar working on Control and Systems Engineering, Computational Theory and Mathematics and Statistics, Probability and Uncertainty. According to data from OpenAlex, Andrew Packard has authored 113 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Control and Systems Engineering, 17 papers in Computational Theory and Mathematics and 17 papers in Statistics, Probability and Uncertainty. Recurrent topics in Andrew Packard's work include Advanced Control Systems Optimization (37 papers), Control Systems and Identification (35 papers) and Stability and Control of Uncertain Systems (34 papers). Andrew Packard is often cited by papers focused on Advanced Control Systems Optimization (37 papers), Control Systems and Identification (35 papers) and Stability and Control of Uncertain Systems (34 papers). Andrew Packard collaborates with scholars based in United States, Germany and Singapore. Andrew Packard's 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 and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.

In The Last Decade

Andrew Packard

111 papers receiving 3.8k citations

Hit Papers

The complex structured singular value 1993 2026 2004 2015 1993 1994 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Andrew Packard United States 30 2.8k 536 479 446 404 113 4.0k
Andy Packard United States 28 3.3k 1.2× 293 0.5× 429 0.9× 511 1.1× 151 0.4× 64 3.9k
Bassam Bamieh United States 31 2.6k 0.9× 180 0.3× 397 0.8× 353 0.8× 729 1.8× 171 4.6k
D.J.N. Limebeer United Kingdom 31 2.5k 0.9× 191 0.4× 290 0.6× 434 1.0× 293 0.7× 154 3.9k
C. N. Nett United States 24 2.6k 0.9× 261 0.5× 280 0.6× 394 0.9× 388 1.0× 82 3.1k
Wilson J. Rugh United States 27 4.9k 1.7× 185 0.3× 411 0.9× 849 1.9× 343 0.8× 78 6.3k
S. Bittanti Italy 34 2.7k 1.0× 161 0.3× 490 1.0× 424 1.0× 290 0.7× 261 4.4k
G. Stein United States 26 3.6k 1.3× 272 0.5× 360 0.8× 629 1.4× 308 0.8× 85 4.8k
Johannes P. Schlöder Germany 22 1.6k 0.6× 122 0.2× 309 0.6× 222 0.5× 130 0.3× 43 2.6k
M.J. Grimble United Kingdom 34 3.8k 1.3× 151 0.3× 175 0.4× 425 1.0× 237 0.6× 406 4.7k
Didier Henrion France 33 2.7k 1.0× 246 0.5× 1.3k 2.7× 336 0.8× 305 0.8× 202 4.2k

Countries citing papers authored by Andrew Packard

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Andrew Packard

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Packard. A scholar is included among the top collaborators of Andrew Packard based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andrew Packard. Andrew Packard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yin, He, Murat Arcak, Andrew Packard, & Peter Seiler. (2021). Backward Reachability for Polynomial Systems on a Finite Horizon. IEEE Transactions on Automatic Control. 66(12). 6025–6032. 11 indexed citations
2.
Yin, He, Andrew Packard, Murat Arcak, & Peter Seiler. (2020). Reachability analysis using dissipation inequalities for uncertain nonlinear systems. Systems & Control Letters. 142. 104736–104736. 8 indexed citations
3.
Arcak, Murat, et al.. (2020). Optimal assignment of collaborating agents in multi-body asset-guarding games. 858–864. 2 indexed citations
4.
Slavinskaya, N., Jan Hendrik Starcke, Uwe Riedel, et al.. (2017). Development of an Uncertainty Quantification Predictive Chemical Reaction Model for Syngas Combustion. Energy & Fuels. 31(3). 2274–2297. 29 indexed citations
5.
Modavi, Cyrus, et al.. (2015). Tracking transience: a method for dynamic monitoring of biological events in Arabidopsis thaliana biosensors. Planta. 242(5). 1251–1261. 1 indexed citations
6.
Zubarev, Dmitry Yu., et al.. (2014). Interval Prediction of Molecular Properties in Parametrized Quantum Chemistry. Physical Review Letters. 112(25). 253003–253003. 10 indexed citations
7.
Li, Wenjun, et al.. (2014). Integrated data-model analysis facilitated by an Instrumental Model. Proceedings of the Combustion Institute. 35(1). 597–605. 14 indexed citations
8.
Arcak, Murat, et al.. (2012). Delay Robustness of Interconnected Passive Systems: An Integral Quadratic Constraint Approach. IEEE Transactions on Automatic Control. 58(3). 712–724. 14 indexed citations
9.
Packard, Andrew, et al.. (2010). L<inf>2</inf> gain verification for interconnections of locally stable systems using integral quadratic constraints. Zenodo (CERN European Organization for Nuclear Research). 53. 1460–1465. 12 indexed citations
10.
Topcu, Ufuk & Andrew Packard. (2009). Linearized analysis versus optimization-based nonlinear analysis for nonlinear systems. 790–795. 15 indexed citations
11.
Topcu, Ufuk, Andrew Packard, Peter Seiler, & G.J. Balas. (2009). Robust Region-of-Attraction Estimation. IEEE Transactions on Automatic Control. 55(1). 137–142. 88 indexed citations
12.
Seiler, Peter, Gary Balas, Andrew Packard, & Ufuk Topcu. (2009). Analytical Validation Tools for Safety Critical Systems. 4 indexed citations
13.
Packard, Andrew & Kemin Zhou. (2003). Improved upper bounds for the structured singular value. 8. 934–935. 1 indexed citations
14.
Shin, Jong-Yeob, G.J. Balas, & Andrew Packard. (2000). H/sub /spl infin// control of the V132 X-38 lateral-directional axis. 1862–1866 vol.3. 3 indexed citations
15.
Fialho, Ian J., et al.. (2000). Gain-Scheduled Lateral Control of the F-14 Aircraft During Powered Approach Landing. Journal of Guidance Control and Dynamics. 23(3). 450–458. 25 indexed citations
16.
Packard, Andrew, et al.. (1999). On the identification of nonlinear maps in a general interconnected system. 3456–3461 vol.5. 13 indexed citations
17.
Allan, Brian, Maurice Holt, & Andrew Packard. (1997). Simulation of a controlled airfoil with jets. 35th Aerospace Sciences Meeting and Exhibit. 5 indexed citations
18.
Tongue, Benson H., et al.. (1994). A Method for Determining the Optimal Location of a Distributed Sensor/Actuator. SHILAP Revista de lepidopterología. 5 indexed citations
19.
Doyle, John C. & Andrew Packard. (1987). Uncertain Multivariable Systems from a State Space Perspective. American Control Conference. 2147–2152. 19 indexed citations
20.
Packard, Andrew & John C. Doyle. (1987). Robust Control with an H 2 Performance Objective. American Control Conference. 2141–2146. 10 indexed citations

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.

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