Karen Willcox
Active 2002–2026
- 117
- Papers
- 19,078
- Citations
- 53
- h-index
- 95
- i10-index
Citations
Citation sources
Countries
Institutions
Fields
- Physics and Astronomy37.7%
- Engineering18.2%
- Computer Science17.3%
- Decision Sciences12%
- Mathematics3.1%
- Medicine2.3%
- Other9.4%
Topics
- Model Reduction and Neural Networks16%
- Probabilistic and Robust Engineering Design10.3%
- Advanced Multi-Objective Optimization Algorithms5.4%
- Numerical methods for differential equations2.7%
- Gaussian Processes and Bayesian Inference2.6%
- Advanced Numerical Methods in Computational Mathematics1.9%
- Other61.1%
Coauthors
- Benjamin Peherstorfer20
- Omar Ghattas13
- Anirban Chaudhuri11
- Boris Kramer11
- Douglas Allaire7
- Douglas L. Allaire7
- Rémi Lam7
- Max D. Gunzburger5
- Elizabeth Qian4
- Nicole Aretz4
- Tan Bui-Thanh4
- Tiangang Cui4
- Alexandre Noll Marques3
- Andrew March3
- Bart G. van Bloemen Waanders3
- Chad Lieberman3
- David A. Hormuth II3
- Graham Pash3
- Julie Pham3
- Laura Mainini3
- Michael Eldred3
- Peter Benner3
- Robert Haimes3
- Rudy Geelen3
All papers
- A Survey of Projection-Based Model Reduction Methods for Parametric Dynamical Systems
Authors: Peter Benner, Serkan Gugercin, Karen Willcox - SIAM Review, SIAM Rev. 2015 cited by 1,842
- Survey of Multifidelity Methods in Uncertainty Propagation, Inference, and Optimization
Authors: Benjamin Peherstorfer, Karen Willcox, Max D. Gunzburger - SIAM Review, SIAM Rev. 2018 cited by 1,022
- Data-driven operator inference for nonintrusive projection-based model reduction
Authors: Benjamin Peherstorfer, Karen Willcox - Computer Methods in Applied Mechanics and Engineering 2016 cited by 449
- Lift & Learn: Physics-informed machine learning for large-scale nonlinear dynamical systems
Authors: Elizabeth Qian, Boris Kramer, Benjamin Peherstorfer, Karen Willcox - Physica D Nonlinear Phenomena 2020 cited by 264
- Learning physics-based models from data: perspectives from inverse problems and model reduction
Authors: Omar Ghattas, Karen Willcox - Acta Numerica, Acta Numer. 2021 cited by 154
- Scaling digital twins from the artisanal to the industrial
Authors: Steven A. Niederer, Michael S. Sacks, Mark Girolami, Karen Willcox - Nature Computational Science, Nat. Comput. Sci. 2021 cited by 221
- Workshop Report on Basic Research Needs for Scientific Machine Learning: Core Technologies for Artificial Intelligence
Authors: Nathan Baker, Frank Alexander, Peer‐Timo Bremer, Aric Hagberg, Yannis Kevrekidis, Habib N. Najm, Manish Parashar, Abani Patra, James A. Sethian, Stefan M. Wild, Karen Willcox, Steven Lee - USDOE Office of Science (SC) (United States) 2019 cited by 291
- Online Adaptive Model Reduction for Nonlinear Systems via Low-Rank Updates
Authors: Benjamin Peherstorfer, Karen Willcox - SIAM Journal on Scientific Computing, SIAM J. Sci. Comput. 2015 cited by 229
- Balanced Model Reduction via the Proper Orthogonal Decomposition
Authors: Karen Willcox, J. Peraire - AIAA Journal 2002 cited by 989
- Data‐driven physics‐based digital twins via a library of component‐based reduced‐order models
Authors: Michael G. Kapteyn, David J. Knezevic, D.B.P. Huynh, M. D. Tran, Karen Willcox - International Journal for Numerical Methods in Engineering 2020 cited by 220
- Localized Discrete Empirical Interpolation Method
Authors: Benjamin Peherstorfer, Daniel Butnaru, Karen Willcox, Hans-Joachim Bungartz - SIAM Journal on Scientific Computing, SIAM J. Sci. Comput. 2014 cited by 271
- Optimal Model Management for Multifidelity Monte Carlo Estimation
Authors: Benjamin Peherstorfer, Karen Willcox, Max D. Gunzburger - SIAM Journal on Scientific Computing, SIAM J. Sci. Comput. 2016 cited by 252
- Operator inference for non-intrusive model reduction of systems with non-polynomial nonlinear terms
Authors: Peter Benner, Pawan Goyal, Boris Kramer, Benjamin Peherstorfer, Karen Willcox - Computer Methods in Applied Mechanics and Engineering 2020 cited by 130
- Digital twins in mechanical and aerospace engineering
Authors: Alberto Ferrari, Karen Willcox - Nature Computational Science, Nat. Comput. Sci. 2024 cited by 96
- Survey and perspective on verification, validation, and uncertainty quantification of digital twins for precision medicine
Authors: Kaan Sel, Andrea Hawkins-Daarud, Anirban Chaudhuri, Deen Osman, Ahmad Bahai, David Paydarfar, Karen Willcox, Caroline Chung, Roozbeh Jafari - npj Digital Medicine, npj Digit. Medicine 2025 cited by 70
- Parameter and State Model Reduction for Large-Scale Statistical Inverse Problems
Authors: Chad Lieberman, Karen Willcox, Omar Ghattas - SIAM Journal on Scientific Computing, SIAM J. Sci. Comput. 2010 cited by 256
- Engineering Design with Digital Thread
Authors: Victor Singh, Karen Willcox - AIAA Journal 2018 cited by 134
- Missing Point Estimation in Models Described by Proper Orthogonal Decomposition
Authors: Patricia Astrid, Siep Weiland, Karen Willcox, Ton Backx - 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601) 2004 cited by 443
- Model Reduction for Large-Scale Systems with High-Dimensional Parametric Input Space
Authors: Tan Bui-Thanh, Karen Willcox, Omar Ghattas - SIAM Journal on Scientific Computing, SIAM J. Sci. Comput. 2008 cited by 359
- Reduced Operator Inference for Nonlinear Partial Differential Equations
Authors: Elizabeth Qian, Ionut-Gabriel Farcas, Karen Willcox - SIAM Journal on Scientific Computing, SIAM J. Sci. Comput. 2022 cited by 44
- Aerodynamic Data Reconstruction and Inverse Design Using Proper Orthogonal Decomposition
Authors: Tan Bui–Thanh, M. Damodaran, Karen Willcox - AIAA Journal 2004 cited by 533
- Unsteady flow sensing and estimation via the gappy proper orthogonal decomposition
Authors: Karen Willcox - Computers & Fluids 2005 cited by 454
- Dynamic data-driven reduced-order models
Authors: Benjamin Peherstorfer, Karen Willcox - Computer Methods in Applied Mechanics and Engineering 2015 cited by 217
- Nonlinear Model Order Reduction via Lifting Transformations and Proper Orthogonal Decomposition
Authors: Boris Kramer, Karen Willcox - AIAA Journal 2019 cited by 128
