Drew Kouri

767 total citations
42 papers, 457 citations indexed

About

Drew Kouri is a scholar working on Computational Theory and Mathematics, Statistics, Probability and Uncertainty and Management Science and Operations Research. According to data from OpenAlex, Drew Kouri has authored 42 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computational Theory and Mathematics, 19 papers in Statistics, Probability and Uncertainty and 14 papers in Management Science and Operations Research. Recurrent topics in Drew Kouri's work include Probabilistic and Robust Engineering Design (19 papers), Advanced Multi-Objective Optimization Algorithms (10 papers) and Risk and Portfolio Optimization (10 papers). Drew Kouri is often cited by papers focused on Probabilistic and Robust Engineering Design (19 papers), Advanced Multi-Objective Optimization Algorithms (10 papers) and Risk and Portfolio Optimization (10 papers). Drew Kouri collaborates with scholars based in United States, Germany and Netherlands. Drew Kouri's co-authors include Thomas M. Surowiec, Denis Ridzal, Matthias Heinkenschloss, Bart G. van Bloemen Waanders, Harbir Antil, Martin-D. Lacasse, Wilkins Aquino, Zilong Zou, Peter A. Zimmerman and Ivo Müeller and has published in prestigious journals such as Journal of Clinical Microbiology, Computer Methods in Applied Mechanics and Engineering and SIAM Journal on Numerical Analysis.

In The Last Decade

Drew Kouri

36 papers receiving 411 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Drew Kouri United States 11 236 192 120 100 95 42 457
Thomas M. Surowiec Germany 12 117 0.5× 260 1.4× 88 0.7× 57 0.6× 126 1.3× 38 388
Mohammad Ali Fariborzi Araghi Iran 15 44 0.2× 50 0.3× 48 0.4× 17 0.2× 280 2.9× 81 706
Abdellah Chkifa France 6 264 1.1× 112 0.6× 8 0.1× 160 1.6× 94 1.0× 16 400
Roland Pulch Germany 12 159 0.7× 62 0.3× 18 0.1× 35 0.3× 42 0.4× 50 283
Stephen Montgomery-Smith United States 20 16 0.1× 156 0.8× 42 0.3× 97 1.0× 77 0.8× 68 1.0k
A. Di Bucchianico Netherlands 14 72 0.3× 45 0.2× 44 0.4× 20 0.2× 13 0.1× 60 470
L. Socha Poland 12 252 1.1× 46 0.2× 7 0.1× 32 0.3× 25 0.3× 59 660
S. Mohammad Hosseini Iran 12 17 0.1× 77 0.4× 25 0.2× 44 0.4× 284 3.0× 44 522
Alessandro Alla Italy 9 107 0.5× 51 0.3× 5 0.0× 156 1.6× 70 0.7× 27 469
Dante Kalise United Kingdom 13 17 0.1× 59 0.3× 16 0.1× 59 0.6× 50 0.5× 40 526

Countries citing papers authored by Drew Kouri

Since Specialization
Citations

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

Fields of papers citing papers by Drew Kouri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Drew Kouri. 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 Drew Kouri. The network helps show where Drew Kouri may publish in the future.

Co-authorship network of co-authors of Drew Kouri

This figure shows the co-authorship network connecting the top 25 collaborators of Drew Kouri. A scholar is included among the top collaborators of Drew Kouri 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 Drew Kouri. Drew Kouri 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.
Walsh, Timothy, et al.. (2025). Greedy Source Placement Optimization for MIMO Control ofGround-Based Vibration Tests. 85–94. 1 indexed citations
2.
Kouri, Drew, et al.. (2025). Efficient proximal subproblem solvers for a nonsmooth trust-region method. Computational Optimization and Applications. 90(1). 193–226.
3.
Cheng, Peng, Drew Kouri, & Stan Uryasev. (2023). Efficient and robust optimal design for quantile regression based on linear programming. Computational Statistics & Data Analysis. 192. 107892–107892.
4.
Antil, Harbir, Drew Kouri, Denis Ridzal, David Robinson, & Maher Salloum. (2023). Uniform flow in axisymmetric devices through permeability optimization. Optimization and Engineering. 25(2). 669–697. 1 indexed citations
5.
Kouri, Drew, Mathias Staudigl, & Thomas M. Surowiec. (2023). A relaxation-based probabilistic approach for PDE-constrained optimization under uncertainty with pointwise state constraints. Computational Optimization and Applications. 85(2). 441–478. 6 indexed citations
6.
Antil, Harbir, Drew Kouri, & Denis Ridzal. (2023). ALESQP: An Augmented Lagrangian Equality-Constrained SQP Method for Optimization with General Constraints. SIAM Journal on Optimization. 33(1). 237–266. 1 indexed citations
7.
Jakeman, John, et al.. (2022). Surrogate modeling for efficiently, accurately and conservatively estimating measures of risk. Reliability Engineering & System Safety. 221. 108280–108280. 10 indexed citations
8.
Kouri, Drew, et al.. (2022). Risk-Adapted Optimal Experimental Design. SIAM/ASA Journal on Uncertainty Quantification. 10(2). 687–716. 3 indexed citations
9.
Kouri, Drew, et al.. (2022). Get ROL-ing: An Introduction to Sandia's Rapid Optimization Library.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
10.
Antil, Harbir, et al.. (2022). Spectral, Tensor and Domain Decomposition Methods for Fractional PDEs. Computational Methods in Applied Mathematics. 22(4). 987–1005. 2 indexed citations
11.
Kouri, Drew, et al.. (2022). A proximal trust-region method for nonsmooth optimization with inexact function and gradient evaluations. Mathematical Programming. 201(1-2). 559–598. 7 indexed citations
12.
Kouri, Drew, et al.. (2021). Randomized Sketching Algorithms for Low-Memory Dynamic Optimization. SIAM Journal on Optimization. 31(2). 1242–1275. 4 indexed citations
13.
Kouri, Drew. (2021). An Inexact Trust-Region Newton Method for Large-Scale Convex-Constrained Optimization.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
14.
Kouri, Drew. (2019). Higher-moment buffered probability. Optimization Letters. 13(6). 1223–1237. 2 indexed citations
15.
Kouri, Drew & Thomas M. Surowiec. (2019). Epi-Regularization of Risk Measures. Mathematics of Operations Research. 45(2). 774–795. 15 indexed citations
16.
Antil, Harbir, Drew Kouri, Martin-D. Lacasse, & Denis Ridzal. (2018). Frontiers in PDE-Constrained Optimization. CERN Document Server (European Organization for Nuclear Research). 34 indexed citations
17.
Zou, Zilong, Drew Kouri, & Wilkins Aquino. (2018). An adaptive local reduced basis method for solving PDEs with uncertain inputs and evaluating risk. Computer Methods in Applied Mechanics and Engineering. 345. 302–322. 15 indexed citations
18.
Zou, Zilong, Drew Kouri, & Wilkins Aquino. (2017). An Adaptive Sampling Approach for Solving PDEs with Uncertain Inputs and Evaluating Risk. 5 indexed citations
19.
Kouri, Drew, et al.. (2010). Differentiating Plasmodium falciparum alleles by transforming Cartesian X,Y data to polar coordinates. BMC Genetics. 11(1). 57–57. 7 indexed citations
20.

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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