Andrew J. Kurdila

4.3k total citations
197 papers, 3.1k citations indexed

About

Andrew J. Kurdila is a scholar working on Control and Systems Engineering, Aerospace Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Andrew J. Kurdila has authored 197 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Control and Systems Engineering, 76 papers in Aerospace Engineering and 48 papers in Computer Vision and Pattern Recognition. Recurrent topics in Andrew J. Kurdila's work include Aeroelasticity and Vibration Control (30 papers), Model Reduction and Neural Networks (27 papers) and Control Systems and Identification (24 papers). Andrew J. Kurdila is often cited by papers focused on Aeroelasticity and Vibration Control (30 papers), Model Reduction and Neural Networks (27 papers) and Control Systems and Identification (24 papers). Andrew J. Kurdila collaborates with scholars based in United States, Switzerland and China. Andrew J. Kurdila's co-authors include Thomas Strganac, Jeonghwan Ko, G. Webb, Francis J. Narcowich, Richard J. Prazenica, J. D. Ward, Dimitris C. Lagoudas, John Dzielski, Othon K. Rediniotis and Jonghan Ko and has published in prestigious journals such as IEEE Transactions on Automatic Control, The Journal of the Acoustical Society of America and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Andrew J. Kurdila

187 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew J. Kurdila United States 26 1.5k 1.3k 796 562 384 197 3.1k
P. C. Hughes Canada 25 1.6k 1.1× 1.2k 0.9× 179 0.2× 988 1.8× 215 0.6× 83 3.2k
B. Bandyopadhyay India 37 4.7k 3.2× 845 0.6× 222 0.3× 228 0.4× 483 1.3× 312 5.8k
Sahjendra N. Singh United States 37 3.4k 2.3× 2.0k 1.5× 406 0.5× 422 0.8× 391 1.0× 265 4.6k
Marc Bodson United States 37 6.0k 4.1× 810 0.6× 808 1.0× 373 0.7× 199 0.5× 213 7.7k
Bernard Brogliato France 42 5.9k 4.0× 438 0.3× 376 0.5× 538 1.0× 630 1.6× 183 7.4k
Bong Wie United States 35 3.2k 2.2× 3.4k 2.6× 173 0.2× 514 0.9× 116 0.3× 203 5.5k
Pierre T. Kabamba United States 26 1.9k 1.3× 796 0.6× 205 0.3× 179 0.3× 473 1.2× 214 3.2k
D.J.N. Limebeer United Kingdom 31 2.5k 1.7× 434 0.3× 293 0.4× 686 1.2× 551 1.4× 154 3.9k
Hassan Salarieh Iran 30 982 0.7× 418 0.3× 109 0.1× 211 0.4× 863 2.2× 210 2.9k

Countries citing papers authored by Andrew J. Kurdila

Since Specialization
Citations

This map shows the geographic impact of Andrew J. Kurdila'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 J. Kurdila with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew J. Kurdila more than expected).

Fields of papers citing papers by Andrew J. Kurdila

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew J. Kurdila. 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 J. Kurdila. The network helps show where Andrew J. Kurdila may publish in the future.

Co-authorship network of co-authors of Andrew J. Kurdila

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew J. Kurdila. A scholar is included among the top collaborators of Andrew J. Kurdila 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 J. Kurdila. Andrew J. Kurdila 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.
Kurdila, Andrew J., et al.. (2024). Approximation of discrete and orbital Koopman operators over subsets and manifolds. Nonlinear Dynamics. 112(8). 6291–6327. 3 indexed citations
2.
Kurdila, Andrew J., et al.. (2024). Convergence Rates of Online Critic Value Function Approximation in Native Spaces. IEEE Control Systems Letters. 8. 2145–2150. 1 indexed citations
3.
Kurdila, Andrew J., et al.. (2024). Nonparametric adaptive control in native spaces: A DPS framework (Part I). Annual Reviews in Control. 58. 100969–100969. 1 indexed citations
4.
Kurdila, Andrew J., et al.. (2024). Nonparametric adaptive control in native spaces: Finite-dimensional implementations, Part II. Annual Reviews in Control. 58. 100968–100968. 1 indexed citations
5.
Stilwell, Daniel J., et al.. (2023). A Model Reference Adaptive Controller Based on Operator-Valued Kernel Functions. 9. 521–528. 2 indexed citations
6.
Kurdila, Andrew J., et al.. (2023). Rates of Convergence in a Class of Native Spaces for Reinforcement Learning and Control. IEEE Control Systems Letters. 8. 55–60. 1 indexed citations
7.
Stilwell, Daniel J., et al.. (2011). A receding horizon approach to generating dynamically feasible plans for vehicles that operate over large areas. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 10. 1140–1145. 4 indexed citations
8.
Leonessa, Alexander, et al.. (2010). A Real-Time Data Compression for Ground-Based 3D LIDAR Data Using Wavelets and Compressive Sensing. 2010. 772–777. 2 indexed citations
9.
10.
Stepanyan, Vahram & Andrew J. Kurdila. (2009). Asymptotic Tracking of Uncertain Systems With Continuous Control Using Adaptive Bounding. IEEE Transactions on Neural Networks. 20(8). 1320–1329. 27 indexed citations
11.
Kurdila, Andrew J.. (2006). Robust Optimization-Directed Design. Kluwer Academic Publishers eBooks. 11 indexed citations
12.
Vignola, Joseph F., Joseph A. Bucaro, James F. Tressler, et al.. (2004). Proper orthogonal decomposition analysis of scanning laser Doppler vibrometer measurements of plaster status at the U.S. Capitol. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5503. 358–358. 1 indexed citations
13.
Dzielski, John & Andrew J. Kurdila. (2003). A Benchmark Control Problem for Supercavitating Vehicles and an Initial Investigation of Solutions. Journal of Vibration and Control. 9(7). 791–804. 134 indexed citations
14.
Kamakoti, Ramji, et al.. (2002). Computational Aeroelasticity Using a Pressure-Based Solver. Computer Modeling in Engineering & Sciences. 3(6). 773–790. 17 indexed citations
15.
Ko, Jeonghwan, Maruthi R. Akella, John L. Junkins, Thomas Strganac, & Andrew J. Kurdila. (1999). Nonlinear Model Reference Adaptive Control for Limit Cycle Oscillations. 3203–3213. 1 indexed citations
16.
Dahmen, Wolfgang, Andrew J. Kurdila, & Peter Oswald. (1997). Multiscale Wavelet Methods for Partial Differential Equations, Volume 6. Academic Press eBooks. 1 indexed citations
17.
Ko, Jeonghwan, et al.. (1997). Nonlinear dynamics and control for a structurally nonlinear aeroelastic system. 38th Structures, Structural Dynamics, and Materials Conference. 15 indexed citations
18.
Ko, Jonghan, Andrew J. Kurdila, & Michael Pilant. (1995). A class of finite element methods based on orthonormal, compactly supported wavelets. Computational Mechanics. 16(4). 235–244. 2 indexed citations
19.
Ko, Jeonghwan, Cheol‐Ho Kim, Andrew J. Kurdila, & Thomas Strganac. (1993). Wavelet Galerkin METHODES FOR GAME THEORETIC CONTROL OF DISTRIBUTED PARAMETER SYSTEMS. 34th Structures, Structural Dynamics and Materials Conference. 6 indexed citations
20.
Kurdila, Andrew J. & Roy R. Craig. (1985). A modal parameter extraction procedure applicable to linear time-invariant dynamic systems.

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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