Paul G. Constantine

2.5k total citations
54 papers, 1.6k citations indexed

About

Paul G. Constantine is a scholar working on Statistics, Probability and Uncertainty, Statistical and Nonlinear Physics and Computational Mechanics. According to data from OpenAlex, Paul G. Constantine has authored 54 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Statistics, Probability and Uncertainty, 20 papers in Statistical and Nonlinear Physics and 16 papers in Computational Mechanics. Recurrent topics in Paul G. Constantine's work include Probabilistic and Robust Engineering Design (36 papers), Model Reduction and Neural Networks (16 papers) and Advanced Multi-Objective Optimization Algorithms (11 papers). Paul G. Constantine is often cited by papers focused on Probabilistic and Robust Engineering Design (36 papers), Model Reduction and Neural Networks (16 papers) and Advanced Multi-Objective Optimization Algorithms (11 papers). Paul G. Constantine collaborates with scholars based in United States, United Kingdom and Canada. Paul G. Constantine's co-authors include Michael Eldred, Eric Phipps, Clayton Webster, Jennifer L. Jefferson, R. M. Maxwell, David F. Gleich, Juan J. Alonso, Trent Lukaczyk, Michael Emory and Johan Larsson and has published in prestigious journals such as Journal of Fluid Mechanics, Journal of Computational Physics and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Paul G. Constantine

52 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul G. Constantine United States 22 871 438 409 391 226 54 1.6k
Clayton Webster United States 16 1.3k 1.5× 539 1.2× 396 1.0× 500 1.3× 374 1.7× 45 1.8k
Houman Owhadi United States 22 935 1.1× 651 1.5× 630 1.5× 704 1.8× 177 0.8× 102 2.5k
Youssef Marzouk United States 29 1.5k 1.7× 540 1.2× 545 1.3× 556 1.4× 371 1.6× 125 3.3k
John Burkardt United States 20 409 0.5× 318 0.7× 335 0.8× 433 1.1× 135 0.6× 38 1.4k
Frances Y. Kuo Australia 24 987 1.1× 397 0.9× 212 0.5× 441 1.1× 98 0.4× 69 2.3k
Benjamin Peherstorfer United States 22 1.3k 1.5× 439 1.0× 1.6k 3.8× 732 1.9× 130 0.6× 63 2.8k
Omar M. Knio United States 17 1.8k 2.1× 429 1.0× 444 1.1× 589 1.5× 691 3.1× 25 2.3k
Robert Scheichl United Kingdom 25 705 0.8× 867 2.0× 206 0.5× 1.0k 2.6× 203 0.9× 85 2.1k
Xiaoliang Wan United States 18 1.3k 1.5× 361 0.8× 563 1.4× 430 1.1× 494 2.2× 50 1.8k
Tan Bui–Thanh United States 20 692 0.8× 255 0.6× 965 2.4× 806 2.1× 108 0.5× 58 2.0k

Countries citing papers authored by Paul G. Constantine

Since Specialization
Citations

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

Fields of papers citing papers by Paul G. Constantine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul G. Constantine. 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 Paul G. Constantine. The network helps show where Paul G. Constantine may publish in the future.

Co-authorship network of co-authors of Paul G. Constantine

This figure shows the co-authorship network connecting the top 25 collaborators of Paul G. Constantine. A scholar is included among the top collaborators of Paul G. Constantine 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 Paul G. Constantine. Paul G. Constantine 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.
Constantine, Paul G., et al.. (2020). Gradient-Based Dimension Reduction of Multivariate Vector-Valued Functions. SIAM Journal on Scientific Computing. 42(1). A534–A558. 1 indexed citations
2.
Glaws, Andrew, Paul G. Constantine, & R. Dennis Cook. (2019). Inverse regression for ridge recovery: a data-driven approach for parameter reduction in computer experiments. Statistics and Computing. 30(2). 237–253. 11 indexed citations
3.
Constantine, Paul G., et al.. (2019). Forward and backward uncertainty quantification with active subspaces: Application to hypersonic flows around a cylinder. Journal of Computational Physics. 407. 109079–109079. 17 indexed citations
4.
Glaws, Andrew & Paul G. Constantine. (2019). Gaussian Quadrature and Polynomial Approximation for One-Dimensional Ridge Functions. SIAM Journal on Scientific Computing. 41(5). S106–S128. 2 indexed citations
5.
Constantine, Paul G., et al.. (2018). Active Subspaces of Airfoil Shape Parameterizations. AIAA Journal. 56(5). 2003–2017. 48 indexed citations
6.
Constantine, Paul G., et al.. (2018). Gradient-based dimension reduction of multivariate vector-valued functions. HAL (Le Centre pour la Communication Scientifique Directe). 50 indexed citations
7.
Constantine, Paul G., et al.. (2018). Data-Driven Polynomial Ridge Approximation Using Variable Projection. SIAM Journal on Scientific Computing. 40(3). A1566–A1589. 26 indexed citations
8.
Glaws, Andrew, Paul G. Constantine, John N. Shadid, & Timothy Wildey. (2017). Dimension reduction in magnetohydrodynamics power generation models: Dimensional analysis and active subspaces. Statistical Analysis and Data Mining The ASA Data Science Journal. 10(5). 312–325. 11 indexed citations
9.
Alonso, Juan J., Michael Eldred, Paul G. Constantine, et al.. (2017). Scalable Environment for Quantification of Uncertainty and Optimization in Industrial Applications (SEQUOIA). Deep Blue (University of Michigan). 20 indexed citations
10.
Constantine, Paul G., et al.. (2016). A density-matching approach for optimization under uncertainty. Computer Methods in Applied Mechanics and Engineering. 305. 562–578. 22 indexed citations
11.
Constantine, Paul G.. (2015). Active Subspaces. Society for Industrial and Applied Mathematics eBooks. 152 indexed citations
12.
Jefferson, Jennifer L., et al.. (2015). Reprint of: Active subspaces for sensitivity analysis and dimension reduction of an integrated hydrologic model. Computers & Geosciences. 90. 78–89. 15 indexed citations
13.
Constantine, Paul G., et al.. (2014). Aggressive design: A density-matching approach for optimization under uncertainty. arXiv (Cornell University). 1 indexed citations
14.
Constantine, Paul G., et al.. (2014). Model Reduction With MapReduce-enabled Tall and Skinny Singular Value Decomposition. SIAM Journal on Scientific Computing. 36(5). S166–S191. 13 indexed citations
15.
Larsson, Johan, Michael Emory, Paul G. Constantine, et al.. (2012). Quantification of multiple types of uncertainties in the HyShot II scramjet. Bulletin of the American Physical Society. 1 indexed citations
16.
Constantine, Paul G. & David F. Gleich. (2012). Distinguishing signal from noise in an SVD of simulation data. 45. 5333–5336. 1 indexed citations
17.
Constantine, Paul G., Qiqi Wang, Alireza Doostan, & Gianluca Iaccarino. (2011). A Surrogate Accelerated Bayesian Inverse Analysis of the HyShot II Flight Data. 52nd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference. 11 indexed citations
18.
Constantine, Paul G., David F. Gleich, & Gianluca Iaccarino. (2011). A Factorization of the Spectral Galerkin System for Parameterized Matrix Equations: Derivation and Applications. SIAM Journal on Scientific Computing. 33(5). 2995–3009. 4 indexed citations
19.
Wang, Qiqi, Han Chen, Rui Hu, & Paul G. Constantine. (2011). Conditional sampling and experiment design for quantifying manufacturing error of transonic airfoil. 49th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition. 29 indexed citations
20.
Constantine, Paul G., Alireza Doostan, & Gianluca Iaccarino. (2009). A hybrid collocation/Galerkin scheme for convective heat transfer problems with stochastic boundary conditions. International Journal for Numerical Methods in Engineering. 80(6-7). 868–880. 19 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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