World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
36
Citations
6624
World Ranking
8612
National Ranking
2387

Raymond S. Tuminaro 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 Raymond S. Tuminaro 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: 170 publications — 36th percentile

36% of scientists in this discipline score the same or lower.

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

Raymond S. Tuminaro 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 Raymond S. Tuminaro 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: 36 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Overview

Raymond S. Tuminaro is affiliated with Sandia National Laboratories in the United States. Their research focuses on areas within computer science and engineering, particularly in computational mechanics, computational theory and mathematics, numerical analysis, and artificial intelligence.

Their work covers a range of topics, including:

  • Advanced Numerical Methods in Computational Mathematics
  • Matrix Theory and Algorithms
  • Numerical methods for differential equations
  • Parallel Computing and Optimization Techniques
  • Neural Networks and Applications
  • Advanced Mathematical Modeling in Engineering
  • Computational Fluid Dynamics and Aerodynamics

Among their recent publications are:

  • Smoothed aggregation for difficult stretched mesh and coefficient variation problems, 2022, Numerical Linear Algebra with Applications
  • A monolithic algebraic multigrid framework for multiphysics applications with examples from resistive MHD, 2022, ETNA - Electronic Transactions on Numerical Analysis
  • Monolithic Algebraic Multigrid Preconditioners for the Stokes Equations, 2025, SIAM Journal on Scientific Computing
  • Graph Neural Networks and Applied Linear Algebra, 2025, SIAM Review
  • An Algebraic Sparsified Nested Dissection Algorithm Using Low-Rank Approximations, 2020, SIAM Journal on Matrix Analysis and Applications

Frequent coauthors include:

  • Christopher Siefert
  • Jonathan Joseph Hu
  • Scott MacLachlan
  • Luke N. Olson
  • Eric C. Cyr

Tuminaro publishes regularly in several venues, with notable contributions in:

  • arXiv (Cornell University)
  • SIAM Journal on Scientific Computing
  • Zenodo (CERN European Organization for Nuclear Research)
  • Numerical Linear Algebra with Applications
  • ETNA - Electronic Transactions on Numerical Analysis

Best Publications

  • An overview of the Trilinos project

    Michael A. Heroux;Roscoe A. Bartlett;Vicki E. Howle;Robert J. Hoekstra

  • An overview of Trilinos.

    Kevin R. Long;Raymond Stephen Tuminaro;Roscoe Ainsworth Bartlett;Robert John Hoekstra

  • ML 5.0 Smoothed Aggregation User's Guide

    Michael W. Gee;Christopher M. Siefert;Jonathan J. Hu;Ray S. Tuminaro

  • Parallel multigrid smoothing: polynomial versus Gauss--Seidel

    Mark Adams;Marian Brezina;Jonathan Hu;Ray Tuminaro

  • Block Preconditioners Based on Approximate Commutators

    Howard Elman;Victoria E. Howle;John Shadid;Robert Shuttleworth

  • A taxonomy and comparison of parallel block multi-level preconditioners for the incompressible Navier-Stokes equations

    Howard Elman;V.E. Howle;John Shadid;Robert Shuttleworth

  • ML 3.1 smoothed aggregation user's guide.

    Marzio Sala;Jonathan Joseph Hu;Raymond Stephen Tuminaro

  • PRESERVING LAGRANGIAN STRUCTURE IN NONLINEAR MODEL REDUCTION WITH APPLICATION TO STRUCTURAL DYNAMICS

    Kevin Carlberg;Ray S. Tuminaro;Paul T. Boggs

  • A Survey of Parallelization Techniques for Multigrid Solvers.

    Edmond Chow;Robert D. Falgout;Jonathan J. Hu;Raymond S. Tuminaro

  • Parallel Smoothed Aggregation Multigrid : Aggregation Strategies on Massively Parallel Machines

    R.S. Tuminaro;C. Tong

  • A comparison of eigensolvers for large‐scale 3D modal analysis using AMG‐preconditioned iterative methods

    Peter Arbenz;Ulrich L. Hetmaniuk;Richard B. Lehoucq;Raymond S. Tuminaro

  • Towards a scalable fully-implicit fully-coupled resistive MHD formulation with stabilized FE methods

    J. N. Shadid;R. P. Pawlowski;J. W. Banks;L. Chacón

  • An Improved Algebraic Multigrid Method for Solving Maxwell's Equations

    Pavel B. Bochev;Christopher J. Garasi;Jonathan J. Hu;Allen C. Robinson

  • A New Petrov-Galerkin Smoothed Aggregation Preconditioner for Nonsymmetric Linear Systems

    Marzio Sala;Raymond S. Tuminaro

  • An Inexact Newton Method for Fully Coupled Solution of the Navier-Stokes Equations with Heat and Mass Transport

    John N. Shadid;Ray S. Tuminaro;Homer F. Walker

  • ASSESSMENT OF COLLOCATION AND GALERKIN APPROACHES TO LINEAR DIFFUSION EQUATIONS WITH RANDOM DATA

    Howard C. Elman;Christopher W. Miller;Eric T. Phipps;Raymond S. Tuminaro

  • MPAS-Albany Land Ice (MALI): a variable-resolution ice sheet model for Earth system modeling using Voronoi grids

    Matthew J. Hoffman;Mauro Perego;Stephen F. Price;William H. Lipscomb;William H. Lipscomb

  • Scalable implicit incompressible resistive MHD with stabilized FE and fully-coupled Newton–Krylov-AMG

    John N. Shadid;John N. Shadid;Roger P. Pawlowski;Eric C Cyr;Raymond S. Tuminaro

  • Albany/FELIX : a parallel, scalable and robust, finite element, first-order Stokes approximation ice sheet solver built for advanced analysis

    I. K. Tezaur;M. Perego;A. G. Salinger;R. S. Tuminaro

  • A parallel block multi-level preconditioner for the 3D incompressible Navier--Stokes equations

    Howard C. Elman;Victoria E. Howle;John N. Shadid;Ray S. Tuminaro

  • Least Squares Preconditioners for Stabilized Discretizations of the Navier-Stokes Equations

    Howard Elman;Victoria E. Howle;John Shadid;David Silvester

Frequent Co-Authors

John N. Shadid
John N. Shadid Sandia National Laboratories
Andrew G. Salinger
Andrew G. Salinger Sandia National Laboratories
Haim Waisman
Haim Waisman Columbia University
Howard C. Elman
Howard C. Elman University of Maryland, College Park
David E. Keyes
David E. Keyes King Abdullah University of Science and Technology
Stephen F. Price
Stephen F. Price Los Alamos National Laboratory
Richard B. Lehoucq
Richard B. Lehoucq Sandia National Laboratories
Pavel B. Bochev
Pavel B. Bochev Sandia National Laboratories
Eric Darve
Eric Darve Stanford University
William H. Lipscomb
William H. Lipscomb National Center for Atmospheric Research

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