The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Karen Willcox sits on this spectrum.
This scientist: 282 publications — 72nd percentile
72% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 804 publications or more.
The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Karen Willcox sits on this spectrum.
This scientist: 65 D-Index — 85th percentile
85% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 107 D-Index or more.
Karen Willcox is affiliated with The University of Texas at Austin in the United States. Their research primarily spans the fields of engineering and physics and astronomy, with a focus on statistical and nonlinear physics, statistics, probability and uncertainty, aerospace engineering, control and systems engineering, and computational theory and mathematics.
Their work covers a variety of topics including model reduction and neural networks, probabilistic and robust engineering design, advanced multi-objective optimization algorithms, nuclear engineering thermal-hydraulics, manufacturing process and optimization, numerical methods for differential equations, and fluid dynamics and turbulent flows.
Among recent publications, the following papers illustrate the scope of their research:
Karen Willcox frequently publishes in venues such as arXiv (Cornell University), Computer Methods in Applied Mechanics and Engineering, Nature Computational Science, AIAA SCITECH 2023 Forum, and AIAA Journal.
Frequent collaborators include Anirban Chaudhuri, Michael G. Kapteyn, Boris Krämer, Shane A. McQuarrie, and Omar Ghattas.
In 2018, Willcox was named a SIAM Fellow for contributions to model reduction and multifidelity methods, particularly related to optimization, control, design, and uncertainty quantification of large-scale systems.
Leia Stirling;Karen Willcox;Philip Ferguson;Dava Newman
Peter Benner;Serkan Gugercin;Karen Willcox
K. Willcox;J. Peraire
Benjamin Peherstorfer;Karen Willcox;Max D. Gunzburger
P. Astrid;S. Weiland;K. Willcox;T. Backx
Tan Bui-Thanh;Murali Damodaran;Karen E. Willcox
Karen E. Willcox
T. Bui-Thanh;K. Willcox;O. Ghattas
Benjamin Peherstorfer;Karen E Willcox
Renee Swischuk;Laura Mainini;Benjamin Peherstorfer;Karen Willcox
D. Galbally;K. Fidkowski;K. Willcox;Omar Nabih Ghattas
Peter Benner;Albert Cohen;Mario Ohlberger;Karen Willcox
Chad Lieberman;Karen Willcox;Omar Ghattas
Benjamin Peherstorfer;Karen Willcox;Max D. Gunzburger
T. Bui-Thanh;Murali Damodaran;Karen Willcox
Benjamin Peherstorfer;Daniel Butnaru;Karen E. Willcox;Hans-Joachim Bungartz
Theresa Robinson;M.S. Eldred;K.E. Willcox;R. Haimes
Nathan Baker;Frank Alexander;Timo Bremer;Aric Hagberg
Elizabeth Qian;Boris Kramer;Benjamin Peherstorfer;Karen Willcox
T. Bui-Thanh;K. Willcox;O. Ghattas;B. van Bloemen Waanders
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