Youssef Marzouk

5.7k total citations
125 papers, 3.3k citations indexed

About

Youssef Marzouk is a scholar working on Artificial Intelligence, Statistics, Probability and Uncertainty and Statistics and Probability. According to data from OpenAlex, Youssef Marzouk has authored 125 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 38 papers in Statistics, Probability and Uncertainty and 31 papers in Statistics and Probability. Recurrent topics in Youssef Marzouk's work include Probabilistic and Robust Engineering Design (38 papers), Gaussian Processes and Bayesian Inference (31 papers) and Markov Chains and Monte Carlo Methods (26 papers). Youssef Marzouk is often cited by papers focused on Probabilistic and Robust Engineering Design (38 papers), Gaussian Processes and Bayesian Inference (31 papers) and Markov Chains and Monte Carlo Methods (26 papers). Youssef Marzouk collaborates with scholars based in United States, Germany and Finland. Youssef Marzouk's co-authors include Habib N. Najm, Xun Huan, Larry A. Rahn, Dongbin Xiu, Ahmed F. Ghoniem, Tiangang Cui, Patrick R. Conrad, Tarek Moselhy, Karen Willcox and Kody J. H. Law and has published in prestigious journals such as Journal of Fluid Mechanics, Water Resources Research and Journal of Computational Physics.

In The Last Decade

Youssef Marzouk

118 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Youssef Marzouk United States 29 1.5k 741 556 545 540 125 3.3k
Omar Ghattas United States 39 937 0.6× 594 0.8× 1.3k 2.4× 999 1.8× 643 1.2× 122 5.2k
Houman Owhadi United States 22 935 0.6× 445 0.6× 704 1.3× 630 1.2× 651 1.2× 102 2.5k
Phaedon‐Stelios Koutsourelakis Germany 21 1.3k 0.9× 214 0.3× 255 0.5× 583 1.1× 354 0.7× 56 2.5k
Benjamin Peherstorfer United States 22 1.3k 0.9× 287 0.4× 732 1.3× 1.6k 2.9× 439 0.8× 63 2.8k
Raúl Tempone Saudi Arabia 31 3.7k 2.5× 294 0.4× 1.2k 2.2× 927 1.7× 1.6k 2.9× 137 5.0k
Russel E. Caflisch United States 41 902 0.6× 245 0.3× 2.4k 4.3× 698 1.3× 760 1.4× 139 6.5k
Erich Novak Germany 22 693 0.5× 270 0.4× 482 0.9× 217 0.4× 713 1.3× 84 2.5k
Hans‐Joachim Bungartz Germany 27 461 0.3× 201 0.3× 1.3k 2.4× 524 1.0× 489 0.9× 161 3.9k
Paul G. Constantine United States 22 871 0.6× 163 0.2× 391 0.7× 409 0.8× 438 0.8× 54 1.6k
Clayton Webster United States 16 1.3k 0.9× 109 0.1× 500 0.9× 396 0.7× 539 1.0× 45 1.8k

Countries citing papers authored by Youssef Marzouk

Since Specialization
Citations

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

Fields of papers citing papers by Youssef Marzouk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Youssef Marzouk

This figure shows the co-authorship network connecting the top 25 collaborators of Youssef Marzouk. A scholar is included among the top collaborators of Youssef Marzouk 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 Youssef Marzouk. Youssef Marzouk 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.
2.
Peherstorfer, Benjamin, et al.. (2025). Multifidelity Covariance Estimation via Regression on the Manifold of Symmetric Positive Definite Matrices. SIAM Journal on Mathematics of Data Science. 7(1). 189–223.
3.
Marzouk, Youssef, et al.. (2024). Principal feature detection via ϕ-Sobolev inequalities. Bernoulli. 30(4). 1 indexed citations
4.
Li, Fengyi & Youssef Marzouk. (2024). Diffusion map particle systems for generative modeling. 7(3). 814–837. 1 indexed citations
5.
Marzouk, Youssef, Sebastian Reich, & Aretha L. Teckentrup. (2023). Data Assimilation – Mathematical Foundation and Applications. Oberwolfach Reports. 19(1). 489–515. 1 indexed citations
6.
Geraci, Gianluca, et al.. (2023). MULTILEVEL MONTE CARLO ESTIMATORS FOR DERIVATIVE-FREE OPTIMIZATION UNDER UNCERTAINTY. International Journal for Uncertainty Quantification. 14(3). 21–65. 2 indexed citations
7.
Waheed, Umair bin, et al.. (2023). Robust Bayesian moment tensor inversion with optimal transport misfits: layered medium approximations to the 3-D SEG-EAGE overthrust velocity model. Geophysical Journal International. 234(2). 1169–1190. 3 indexed citations
8.
Marzouk, Youssef, et al.. (2023). A method for direct in-space thrust estimation from low-acceleration orbital maneuvers. Deep Blue (University of Michigan). 2(1). 2 indexed citations
9.
Parno, Matthew, et al.. (2022). MParT: Monotone Parameterization Toolkit. The Journal of Open Source Software. 7(80). 4843–4843. 1 indexed citations
10.
Tong, Xin T., Matthias Morzfeld, & Youssef Marzouk. (2020). MALA-within-Gibbs Samplers for High-Dimensional Distributions with Sparse Conditional Structure. SIAM Journal on Scientific Computing. 42(3). A1765–A1788. 11 indexed citations
11.
Conrad, Patrick R., Youssef Marzouk, Natesh S. Pillai, & Aaron Smith. (2019). Accelerating Asymptotically Exact MCMC for Computationally Intensive Models via Local Approximations. Figshare. 29 indexed citations
12.
Chilenski, Mark, M. Greenwald, Youssef Marzouk, J. E. Rice, & A. E. White. (2019). On the importance of model selection when inferring impurity transport coefficient profiles. Plasma Physics and Controlled Fusion. 61(12). 125012–125012. 7 indexed citations
13.
Chilenski, Mark, M. Greenwald, Youssef Marzouk, J. E. Rice, & A. E. White. (2018). Efficient design and verification of diagnostics for impurity transport experiments. Review of Scientific Instruments. 89(1). 13504–13504. 4 indexed citations
14.
Absil, Pierre-Antoine, et al.. (2017). Piecewise-Bezier C1 smoothing on manifolds with application to wind field estimation. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 2 indexed citations
15.
Conrad, Patrick R., Youssef Marzouk, Natesh S. Pillai, & Aaron Smith. (2014). Asymptotically Exact MCMC Algorithms via Local Approximations of Computationally Intensive Models. arXiv (Cornell University). 8 indexed citations
16.
Marzouk, Youssef, et al.. (2014). NOWPAC: A provably convergent nonlinear optimizer with path-augmented constraints for noisy regimes. arXiv (Cornell University). 1 indexed citations
17.
Winokur, Justin, Ihab Sraj, Omar Knio, et al.. (2013). A priori testing of sparse adaptive polynomial chaos expansions using an ocean general circulation model database. DSpace@MIT (Massachusetts Institute of Technology). 2 indexed citations
18.
Marzouk, Youssef & Patrick R. Conrad. (2013). Adaptive Smolyak Pseudospectral Approximations. DSpace@MIT (Massachusetts Institute of Technology). 112 indexed citations
19.
Ray, Jaideep, Youssef Marzouk, & Habib N. Najm. (2010). A Bayesian approach for estimating bioterror attacks from patient data. Statistics in Medicine. 30(2). 101–126. 6 indexed citations
20.
Sargsyan, Khachik, Bert Debusschere, Habib N. Najm, & Youssef Marzouk. (2008). Predictability Assessment in Stochastic Reaction Networks.. Journal of Computational and Theoretical Nanoscience.

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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