World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
8022
World Ranking
6880
National Ranking
3016

Adrian Sandu 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 Adrian Sandu 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: 314 publications — 76th percentile

76% of scientists in this discipline score the same or lower.

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

Adrian Sandu 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 Adrian Sandu 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: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Overview

Adrian Sandu is affiliated with Virginia Tech in the United States and has a research focus concentrated in the field of Engineering. Their work spans several subfields including Numerical Analysis, Atmospheric Science, Computational Mechanics, Statistical and Nonlinear Physics, and Global and Planetary Change.

The primary topics addressed in their research include numerical methods for differential equations, model reduction and neural networks, meteorological phenomena and simulations, advanced numerical methods in computational mathematics, climate variability and models, dynamics and control of mechanical systems, as well as electromagnetic simulation and numerical methods.

Sandu's recent publications cover a variety of themes within computational science and atmospheric modeling. Selected recent papers include:

  • Machine learning based algorithms for uncertainty quantification in numerical weather prediction models, 2021, Journal of Computational Science
  • An Adaptive Auto-Reduction Solver for Speeding Up Integration of Chemical Kinetics in Atmospheric Chemistry Models: Implementation and Evaluation in the Kinetic Pre-Processor (KPP) Version 3.0.0, 2023, Journal of Advances in Modeling Earth Systems
  • Evaluating oil and gas contributions to ambient nonmethane hydrocarbon mixing ratios and ozone-related metrics in the Colorado Front Range, 2020, Atmospheric Environment
  • Adjoint-Matching Neural Network Surrogates for Fast 4D-Var Data Assimilation, 2021, arXiv (Cornell University)
  • Adjoint sensitivity index-3 augmented Lagrangian formulation with projections, 2021, Mechanics Based Design of Structures and Machines

Frequent co-authors in Sandu's publications include:

  • Andrey A. Popov
  • Arash Sarshar
  • Amit N. Subrahmanya
  • Corina Sandu
  • Steven Roberts

The scientific venues where Sandu most commonly publishes are:

  • arXiv (Cornell University)
  • SIAM Journal on Scientific Computing
  • Mechanics Based Design of Structures and Machines
  • Multibody System Dynamics
  • Applied Numerical Mathematics

Sandu's research contributions provide cross-disciplinary insights that intersect computational mathematics with atmospheric and mechanical systems. This integration reflects the broad application of numerical and model reduction methods in diverse scientific domains.

Best Publications

  • The kinetic preprocessor KPP*/a software environment for solving chemical kinetics

    Valeriu Damian;Adrian Sandu;Mirela Damian;Florian Potra

  • Benchmarking stiff ode solvers for atmospheric chemistry problems II: Rosenbrock solvers

    A. Sandu;Jan Verwer;Joke Blom;E.J. Spee

  • Technical note: Simulating chemical systems in Fortran90 and Matlab with the Kinetic PreProcessor KPP-2.1

    Adrian Sandu;Rolf Sander

  • Adjoint sensitivity analysis of regional air quality models

    Adrian Sandu;Dacian N. Daescu;Gregory R. Carmichael;Tianfeng Chai

  • Modeling Multibody Systems with Uncertainties. Part I: Theoretical and Computational Aspects

    Adrian Sandu;Corina Sandu;Mehdi Ahmadian

  • Direct and adjoint sensitivity analysis of chemical kinetic systems with KPP: Part I—theory and software tools

    Adrian Sandu;Dacian N. Daescu;Gregory R. Carmichael

  • Benchmarking stiff ode solvers for atmospheric chemistry problems-I. implicit vs explicit

    A. Sandu;J.G. Verwer;M. Van Loon;G.R. Carmichael

  • The atmospheric chemistry box model CAABA/MECCA-3.0

    Rolf Sander;Andreas Baumgaertner;Sergey Gromov;Hartwig Harder

  • Predicting air quality: Improvements through advanced methods to integrate models and measurements

    Gregory R. Carmichael;Adrian Sandu;Tianfeng Chai;Dacian N. Daescu

  • Multirate Timestepping Methods for Hyperbolic Conservation Laws

    Emil M. Constantinescu;Adrian Sandu

  • The adjoint of CMAQ.

    Amir Hakami;Daven K. Henze;John H. Seinfeld;Kumaresh Singh

  • Ensemble-based chemical data assimilation. I: General approach

    Emil M. Constantinescu;Adrian Sandu;Tianfeng Chai;Gregory R. Carmichael

  • Chemical Data Assimilation—An Overview

    Adrian Sandu;Tianfeng Chai

  • Direct and adjoint sensitivity analysis of chemical kinetic systems with KPP: II—numerical validation and applications

    Dacian N. Daescu;Adrian Sandu;Gregory R. Carmichael

  • A Polynomial Chaos-Based Kalman Filter Approach for Parameter Estimation of Mechanical Systems

    Emmanuel D. Blanchard;Adrian Sandu;Corina Sandu

  • Comparison of POD reduced order strategies for the nonlinear 2D shallow water equations

    Razvan Stefanescu;Adrian Sandu;Ionel Michael Navon

  • POD/DEIM reduced-order strategies for efficient four dimensional variational data assimilation

    R. Ştefănescu;A. Sandu;I.M. Navon

  • Adjoint Sensitivity Analysis of Ozone Nonattainment over the Continental United States

    Amir Hakami;John H. Seinfeld;Tianfeng Chai;Youhua Tang

  • Masking Resonance Artifacts in Force-Splitting Methods for Biomolecular Simulations by Extrapolative Langevin Dynamics

    Adrian Sandu;Tamar Schlick

  • Multirate generalized additive Runge Kutta methods

    Michael Günther;Adrian Sandu

  • Propagating Uncertainty in Power System Dynamic Simulations Using Polynomial Chaos

    Yijun Xu;Lamine Mili;Adrian Sandu;Michael R. von Spakovsky

  • Efficient Implementation of Fully Implicit Methods for Atmospheric Chemical Kinetics

    A. Sandu;F.A. Potra;G.R. Carmichael;V. Damian

  • Benchmarking Stiff ODE Solvers for Atmospheric Chemistry Problems I: Implicit versus Explicit

    A. Sandu;J.G. Verwer;M. van Loon;G.R. Carmichael

Frequent Co-Authors

Gregory R. Carmichael
Gregory R. Carmichael University of Iowa
Daven K. Henze
Daven K. Henze University of Colorado Boulder
Youhua Tang
Youhua Tang George Mason University
John H. Seinfeld
John H. Seinfeld California Institute of Technology
Kevin W. Bowman
Kevin W. Bowman California Institute of Technology
Florian A. Potra
Florian A. Potra University of Maryland, Baltimore County
Armistead G. Russell
Armistead G. Russell Georgia Institute of Technology
Robert W. Pinder
Robert W. Pinder Environmental Protection Agency
Jesse O. Bash
Jesse O. Bash Environmental Protection Agency
Athanasios Nenes
Athanasios Nenes École Polytechnique Fédérale de Lausanne

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