ProfessorsProfessors of University of Colorado BoulderPaul G. Constantine

Paul G. Constantine

University of Colorado Boulder

H-index: 32

North America-United States

About Paul G. Constantine

Paul G. Constantine, With an exceptional h-index of 32 and a recent h-index of 24 (since 2020), a distinguished researcher at University of Colorado Boulder,

His recent articles reflect a diverse array of research interests and contributions to the field:

A Lipschitz matrix for parameter reduction in computational science

Forward and backward uncertainty quantification with active subspaces: application to hypersonic flows around a cylinder

Inverse regression for ridge recovery: a data-driven approach for parameter reduction in computer experiments

Sensitivity and model reduction of simulated snow processes: Contrasting observational and parameter uncertainty to improve prediction

Gradient-based dimension reduction of multivariate vector-valued functions

Paul G. Constantine Information

University	University of Colorado Boulder
Position	Assistant Professor of Computer Science
Citations(all)	4177
Citations(since 2020)	2574
Cited By	2854
hIndex(all)	32
hIndex(since 2020)	24
i10Index(all)	59
i10Index(since 2020)	46
Email	Access Email
University Profile Page	University of Colorado Boulder
Google Scholar	View Google Scholar Profile

Top articles of Paul G. Constantine

Title	Journal	Author(s)	Publication Date
A Lipschitz matrix for parameter reduction in computational science	SIAM Journal on Scientific Computing	Jeffrey M Hokanson Paul G Constantine	2021
Forward and backward uncertainty quantification with active subspaces: application to hypersonic flows around a cylinder	Journal of Computational Physics	Andrea F Cortesi Paul G Constantine Thierry E Magin Pietro M Congedo	2020/4/15
Inverse regression for ridge recovery: a data-driven approach for parameter reduction in computer experiments	Statistics and Computing	Andrew Glaws Paul G Constantine R Dennis Cook	2020/3
Sensitivity and model reduction of simulated snow processes: Contrasting observational and parameter uncertainty to improve prediction	Advances in Water Resources	Anna Ryken Lindsay A Bearup Jennifer L Jefferson Paul Constantine Reed M Maxwell	2020/1/1
Gradient-based dimension reduction of multivariate vector-valued functions	SIAM Journal on Scientific Computing	Olivier Zahm Paul G Constantine Clémentine Prieur Youssef M Marzouk	2020