World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
58
Citations
15109
World Ranking
2449
National Ranking
21

Omar M. Knio publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Omar M. Knio sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 353 publications — 84th percentile

84% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Omar M. Knio D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Omar M. Knio sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 58 D-Index — 75th percentile

75% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Omar M. Knio is affiliated with King Abdullah University of Science and Technology in Saudi Arabia. Their research spans multiple fields including Earth and Planetary Sciences, Environmental Science, and Engineering, with a significant focus on Oceanography, Atmospheric Science, and Global and Planetary Change. The scientist has contributed extensively to topics such as Oceanographic and Atmospheric Processes, Meteorological Phenomena and Simulations, Climate variability and models, Fractional Differential Equations Solutions, Oil Spill Detection and Mitigation, Ocean Waves and Remote Sensing, and Marine and coastal ecosystems.

Knio's recent publications demonstrate a diverse engagement across interdisciplinary domains. Selected papers include:

  • "A review of hydrogen production and supply chain modeling and optimization", 2023, International Journal of Hydrogen Energy
  • "Towards an End-to-End Analysis and Prediction System for Weather, Climate, and Marine Applications in the Red Sea", 2020, Bulletin of the American Meteorological Society
  • "Visualization and Visual Analytics Approaches for Image and Video Datasets: A Survey", 2023, ACM Transactions on Interactive Intelligent Systems
  • "Time-series weather prediction in the Red sea using ensemble transformers", 2024, Applied Soft Computing
  • "Evaluating Cumulus Parameterization Schemes for the Simulation of Arabian Peninsula Winter Rainfall", 2020, Journal of Hydrometeorology

The scientist frequently collaborates with other researchers, with the most common coauthors being Ibrahim Hoteit, Mohamad Abed El Rahman Hammoud, Olivier Le Maı̂tre, Sabique Langodan, and Ricardo Lima.

Knio's work has been disseminated through various publication venues, with multiple contributions to arXiv (Cornell University), Computational Geosciences, Ocean Engineering, Combustion and Flame, and the Bulletin of the American Meteorological Society.

Best Publications

  • Spectral methods for uncertainty quantification : with applications to computational fluid dynamics

    O. P. Le Maître;O. M. Knio

  • Spectral Methods for Uncertainty Quantification

    O. P. Le Maître;Omar M. Knio

  • Numerical Challenges in the Use of Polynomial Chaos Representations for Stochastic Processes

    Bert J. Debusschere;Habib N. Najm;Philippe P. Pébay;Omar M. Knio

  • Uncertainty propagation using Wiener-Haar expansions

    O. P. Le Maître;O. M. Knio;H. N. Najm;R. G. Ghanem

  • A stochastic projection method for fluid flow II.: random process

    Olivier P. Le Maîetre;Matthew T. Reagan;Habib N. Najm;Roger G. Ghanem

  • Multi-resolution analysis of wiener-type uncertainty propagation schemes

    O. P. Le Maître;H. N. Najm;R. G. Ghanem;O. M. Knio

  • Uncertainty quantification in reacting-flow simulations through non-intrusive spectral projection

    Matthew T. Reagan;Habib N. Najm;Roger G. Ghanem;Omar M. Knio

  • Uncertainty propagation in CFD using polynomial chaos decomposition

    O.M. Knio;O.P. Le Maître

  • A Semi-implicit Numerical Scheme for Reacting Flow

    Habib N. Najm;Peter S. Wyckoff;Omar M. Knio

  • Joining of stainless-steel specimens with nanostructured Al/Ni foils

    J. Wang;E. Besnoin;A. Duckham;S. J. Spey

  • Room-temperature soldering with nanostructured foils

    J. Wang;E. Besnoin;A. Duckham;S. J. Spey

  • A review of hydrogen production and supply chain modeling and optimization

    Unknown

  • Reactive nanostructured foil used as a heat source for joining titanium

    A. Duckham;S. J. Spey;J. Wang;M. E. Reiss

  • SPH Modelling of Water Waves

    Robert A. Dalrymple;Omar Knio

  • Effect of varying bilayer spacing distribution on reaction heat and velocity in reactive Al/Ni multilayers

    Robert Knepper;Murray R. Snyder;Greg Fritz;Kaitlynn Fisher

  • Freestanding reactive multilayer foils

    Timothy P. Weihs;Todd Hufnagel;Omar Knio;Michael Reiss

  • Numerical study of a three-dimensional vortex method

    Omar M. Knio;Ahmed F. Ghoniem

  • Effect of reactant and product melting on self-propagating reactions in multilayer foils

    Etienne Besnoin;Stefano Cerutti;Omar M. Knio;Timothy P. Weihs

  • Regular Article: A Semi-implicit Numerical Scheme for Reacting Flow

    Omar M Knio;Habib N Najm;Peter S Wyckoff

  • Investigating the effect of applied pressure on reactive multilayer foil joining

    J. Wang;E. Besnoin;O.M. Knio;T.P. Weihs

  • A Study of Flame Observables in Premixed Methane - Air Flames

    H. N. Najm;O. M. Knio;P. H. Paul;P.S. Wyckoff

  • Spectral stochastic uncertainty quantification in chemical systems

    M T Reagan;H N Najm;B J Debusschere;O P Le Maître

  • Numerical predictions of oscillatory combustion in reactive multilayers

    S. Jayaraman;O. M. Knio;A. B. Mann;T. P. Weihs

Frequent Co-Authors

Timothy P. Weihs
Timothy P. Weihs Johns Hopkins University
Ibrahim Hoteit
Ibrahim Hoteit King Abdullah University of Science and Technology
Habib N. Najm
Habib N. Najm Sandia National Laboratories
Rupert Klein
Rupert Klein Freie Universität Berlin
Roger Ghanem
Roger Ghanem University of Southern California
Todd C. Hufnagel
Todd C. Hufnagel Johns Hopkins University
Jiaping Wang
Jiaping Wang Tsinghua University
Clint Dawson
Clint Dawson The University of Texas at Austin
Charles Meneveau
Charles Meneveau Johns Hopkins University

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