Paul G. Constantine

55 papers receiving 1.6k citations

Peers

Paul G. Constantine
Comparison fields: 5 of 106
  • Statistics, Probability and Uncertainty 895
  • Statistical and Nonlinear Physics 423
  • Computational Theory and Mathematics 449
  • Computational Mathematics 16
  • Computational Mechanics 407
Replace Houman Owhadi with:
Houman Owhadi United States
Clayton Webster United States
Xiaoliang Wan United States
Benjamin Peherstorfer United States
Tan Bui–Thanh United States
Youssef Marzouk United States
Frances Y. Kuo Australia
Omar M. Knio United States
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Citations per year

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-authors

The 25 scholars most cited alongside Paul G. Constantine, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Paul G. Constantine Line = papers co-authored together Paul G. Constantine links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015156
2 2015155
3 2012142
4 2008128
5 2015119
6 2014108
7 201572
8
Gradient-based dimension reduction of multivariate vector-valued functions
201853
9 201850
10 201737
11 201737
12 201033
13 201130
14 201628
15 201128
16 201827
17 201826
18 201725
19 201625
20 200924

About Paul G. Constantine

Paul G. Constantine is a scholar working on Statistics, Probability and Uncertainty, Statistical and Nonlinear Physics, Computational Mechanics, Computational Theory and Mathematics and Artificial Intelligence, having authored 57 papers that have together received 1.6k indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (38 papers), Model Reduction and Neural Networks (17 papers), Advanced Multi-Objective Optimization Algorithms (11 papers), Computational Fluid Dynamics and Aerodynamics (8 papers), Hydrology and Watershed Management Studies (5 papers), Advanced Numerical Methods in Computational Mathematics (4 papers), Wind and Air Flow Studies (4 papers) and Turbomachinery Performance and Optimization (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (895 citations), Statistical and Nonlinear Physics (423 citations), Computational Theory and Mathematics (449 citations), Computational Mathematics (16 citations) and Computational Mechanics (407 citations). Paul G. Constantine has collaborated with scholars based in United States, United Kingdom and France. Frequent 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. Their work appears in journals such as SIAM Journal on Scientific Computing, Computer Methods in Applied Mechanics and Engineering, Journal of Computational Physics, International Journal for Numerical Methods in Engineering and Advances in Water Resources.

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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