World's Best Scientists 2026 revealed!
Youssef M. Marzouk

Youssef M. Marzouk

D-Index & Metrics

Computer Science

D-Index
41
Citations
7515
World Ranking
8814
National Ranking
3766

Youssef M. Marzouk publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Youssef M. Marzouk sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 206 publications — 48th percentile

48% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Youssef M. Marzouk D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Youssef M. Marzouk sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Youssef M. Marzouk is affiliated with MIT in the United States. Their research contributions span the fields of computer science and mathematics, with a significant focus on artificial intelligence, statistics, and probability.

Their main fields of study include:

  • Computer Science (82 publications)
  • Mathematics (72 publications)

Within these fields, they have contributed extensively to subfields such as:

  • Artificial Intelligence (57 publications)
  • Statistics and Probability (51 publications)
  • Statistics, Probability and Uncertainty (24 publications)
  • Computational Theory and Mathematics (14 publications)
  • Statistical and Nonlinear Physics (11 publications)

Major topics covered in their research include:

  • Markov Chains and Monte Carlo Methods (64 publications)
  • Gaussian Processes and Bayesian Inference (48 publications)
  • Probabilistic and Robust Engineering Design (46 publications)
  • Statistical Methods and Inference (30 publications)
  • Target Tracking and Data Fusion in Sensor Networks (22 publications)
  • Model Reduction and Neural Networks (20 publications)
  • Advanced Multi-Objective Optimization Algorithms (18 publications)

Youssef M. Marzouk has published extensively, with frequent venue contributions including:

  • arXiv (Cornell University) - 60 publications
  • SIAM Journal on Scientific Computing - 5 publications
  • Mathematics of Computation - 2 publications
  • Journal of Computational Physics - 2 publications
  • Constructive Approximation - 2 publications

Some of their recent papers are:

  • Certified dimension reduction in nonlinear Bayesian inverse problems, 2022, Mathematics of Computation
  • Coupling Techniques for Nonlinear Ensemble Filtering, 2022, SIAM Review
  • Multifidelity Dimension Reduction via Active Subspaces, 2020, SIAM Journal on Scientific Computing
  • On the Representation and Learning of Monotone Triangular Transport Maps, 2023, Foundations of Computational Mathematics
  • Optimal experimental design: Formulations and computations, 2024, Acta Numerica

Frequent co-authors collaborating with Youssef M. Marzouk include:

  • Ricardo Baptista (15 and 13 co-authored papers)
  • Olivier Zahm (12 co-authored papers)
  • Fengyi Li (9 co-authored papers)
  • B. Zhang (7 co-authored papers)

Best Publications

  • Stochastic spectral methods for efficient Bayesian solution of inverse problems

    Youssef M. Marzouk;Habib N. Najm;Larry A. Rahn

  • Simulation-based optimal Bayesian experimental design for nonlinear systems

    Xun Huan;Youssef M. Marzouk

  • Dimensionality reduction and polynomial chaos acceleration of Bayesian inference in inverse problems

    Youssef M. Marzouk;Habib N. Najm

  • A stochastic collocation approach to Bayesian inference in inverse problems

    Youssef Marzouk;Dongbin Xiu

  • Bayesian inference with optimal maps

    Tarek A. El Moselhy;Youssef M. Marzouk

  • Data-driven model reduction for the Bayesian solution of inverse problems

    Tiangang Cui;Youssef M. Marzouk;Karen E. Willcox

  • Large-Scale Inverse Problems and Quantification of Uncertainty

    Lorenz Biegler;George Biros;Omar Nabih Ghattas;Matthias Heinkenschloss

  • Transport Map Accelerated Markov Chain Monte Carlo

    Matthew D. Parno;Youssef M. Marzouk

  • Dimension-independent likelihood-informed MCMC

    Tiangang Cui;Kody J.H. Law;Youssef M. Marzouk

  • Adaptive Smolyak Pseudospectral Approximations

    Patrick R. Conrad;Youssef M. Marzouk

  • Uncertainty quantification in chemical systems

    Habib N. Najm;Bert Debusschere;Youssef Marzouk;S. Widmer

  • Likelihood-informed dimension reduction for nonlinear inverse problems

    T Cui;J Martin;Y M Marzouk;A Solonen;A Solonen

  • Surrogate and reduced-order modeling: a comparison of approaches for large-scale statistical inverse problems [Chapter 7]

    M. Frangos;Y. Marzouk;K. Willcox;B. van Bloemen Waanders

  • Multifidelity importance sampling

    Benjamin Peherstorfer;Tiangang Cui;Youssef M Marzouk;Karen E Willcox

  • Optimal low-rank approximations of Bayesian linear inverse problems

    Alessio Spantini;Antti Solonen;Tiangang Cui;James Martin

  • Improved profile fitting and quantification of uncertainty in experimental measurements of impurity transport coefficients using Gaussian process regression

    Mark Alan Chilenski;Martin J. Greenwald;Youssef M. Marzouk;Nathaniel Thomas Howard

  • Sampling via Measure Transport: An Introduction

    Youssef Marzouk;Tarek Moselhy;Matthew Parno;Alessio Spantini

  • GRADIENT-BASED STOCHASTIC OPTIMIZATION METHODS IN BAYESIAN EXPERIMENTAL DESIGN

    Xun Huan;Youssef M. Marzouk

  • Spectral Tensor-Train Decomposition

    Daniele Bigoni;Allan Peter Engsig-Karup;Youssef M. Marzouk

  • Adaptive Construction of Surrogates for the Bayesian Solution of Inverse Problems

    Jinglai Li;Youssef M. Marzouk

  • Accelerating Asymptotically Exact MCMC for Computationally Intensive Models via Local Approximations

    Patrick R. Conrad;Youssef M. Marzouk;Natesh S. Pillai;Aaron Smith

  • A Stein variational Newton method

    Gianluca Detommaso;Tiangang Cui;Alessio Spantini;Youssef Marzouk

Frequent Co-Authors

Habib N. Najm
Habib N. Najm Sandia National Laboratories
Karen Willcox
Karen Willcox The University of Texas at Austin
Jeff D. Eldredge
Jeff D. Eldredge University of California, Los Angeles
Chung King Law
Chung King Law Princeton University
Heikki Haario
Heikki Haario Lappeenranta University of Technology
Omar M. Knio
Omar M. Knio King Abdullah University of Science and Technology
Julien M. Hendrickx
Julien M. Hendrickx Université Catholique de Louvain

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