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D-Index & Metrics

Engineering and Technology

D-Index
42
Citations
13224
World Ranking
6372
National Ranking
403

Garth N. Wells 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 Garth N. Wells 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: 154 publications — 29th percentile

29% of scientists in this discipline score the same or lower.

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

Garth N. Wells 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 Garth N. Wells 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: 42 D-Index — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Overview

Garth N. Wells is affiliated with the University of Cambridge in the United Kingdom. Their research focuses primarily on the fields of engineering and computer science, with a concentration on computational mechanics, computational theory and mathematics, biomedical engineering, computer networks and communications, and computer graphics and computer-aided design.

The main topics covered in their work include advanced numerical methods in computational mathematics, computational fluid dynamics and aerodynamics, computational geometry and mesh generation, advanced mathematical modeling in engineering, scientific computing and data management, advanced numerical analysis techniques, and elasticity and material modeling.

Among their recent publications are:

  • Construction of Arbitrary Order Finite Element Degree-of-Freedom Maps on Polygonal and Polyhedral Cell Meshes, 2022, ACM Transactions on Mathematical Software
  • Basix: a runtime finite element basis evaluation library, 2022, The Journal of Open Source Software
  • A new mechanism of strain transfer in polycrystals, 2020, Scientific Reports
  • Preconditioning for a Pressure-Robust HDG Discretization of the Stokes Equations, 2022, SIAM Journal on Scientific Computing
  • Analysis of Pressure-Robust Embedded-Hybridized Discontinuous Galerkin Methods for the Stokes Problem Under Minimal Regularity, 2022, Journal of Scientific Computing

The venues where this work has frequently appeared include:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • ACM Transactions on Mathematical Software
  • The Journal of Open Source Software
  • Scientific Reports

Frequent collaborators in Garth N. Wells's research are:

  • Chris Richardson
  • Sander Rhebergen
  • Matthew W. Scroggs
  • J. Dean
  • Jørgen S. Dokken

Best Publications

  • Automated Solution of Differential Equations by the Finite Element Method: The FEniCS Book

    Anders Logg;Kent-Andre Mardal;Garth Wells

  • The FEniCS Project Version 1.5

    Martin S. Alnæs;Jan Blechta;Johan Hake;August Johansson

  • A new method for modelling cohesive cracks using finite elements

    G. N. Wells;L. J. Sluys

  • DOLFIN: Automated finite element computing

    Anders Logg;Garth N. Wells

  • Unified form language: A domain-specific language for weak formulations of partial differential equations

    Martin S. Alnæs;Anders Logg;Kristian B. Ølgaard;Marie E. Rognes

  • DOLFIN: a C++/Python Finite Element Library

    Anders Logg;Anders Logg;Garth N. Wells;Johan Hake;Johan Hake

  • From continuous to discontinuous failure in a gradient-enhanced continuum damage model

    Angelo Simone;Garth N. Wells;Lambertus J. Sluys

  • A discontinuous Galerkin method for the Cahn-Hilliard equation

    Garth N. Wells;Ellen Kuhl;Krishna Garikipati

  • Basix: a runtime finite element basis evaluation library

    Unknown

  • Three-dimensional embedded discontinuity model for brittle fracture

    G.N. Wells;L.J. Sluys

  • On the use of embedded discontinuity elements with crack path continuity for mode-I and mixed-mode fracture

    J. Alfaiate;G.N. Wells;L.J. Sluys

  • A consistent geometrically non‐linear approach for delamination

    G. N. Wells;R. de Borst;L. J. Sluys

  • Construction of arbitrary order finite element degree-of-freedom maps on polygonal and polyhedral cell meshes.

    Matthew W. Scroggs;Jørgen S. Dokken;Chris N. Richardson;Garth N. Wells

  • Simulating the propagation of displacement discontinuities in a regularized strain‐softening medium

    G. N. Wells;L. J. Sluys;R. de Borst

  • Modeling an Augmented Lagrangian for Blackbox Constrained Optimization

    Robert B. Gramacy;Genetha A. Gray;Sébastien Le Digabel;Herbert K. H. Lee

  • Discontinuous modelling of strain localisation and failure

    G.N. Wells

  • Cohesive-zone models, higher-order continuum theories and reliability methods for computational failure analysis

    René de Borst;Miguel A. Gutiérrez;Garth N. Wells;Joris J. C. Remmers

  • Optimizations for quadrature representations of finite element tensors through automated code generation

    Kristian B. Ølgaard;Garth N. Wells

  • Conservation properties for the Galerkin and stabilised forms of the advection–diffusion and incompressible Navier–Stokes equations

    Thomas J.R. Hughes;Garth N. Wells

  • FFC: the FEniCS Form Compiler

    Anders Logg;Anders Logg;Kristian Breum Ølgaard;Marie E. Rognes;Garth N. Wells

  • A solid-like shell element allowing for arbitrary delaminations

    Joris J. C. Remmers;Garth N. Wells;René de Borst

  • Cohesive-zone models, higher order continuum theories and reliability methods for computational failure analysis

    René de Borst;M.A. Gutierrez de la Merced;G.N. Wells;G.N. Remmers

Frequent Co-Authors

Lambertus J. Sluys
Lambertus J. Sluys Delft University of Technology
Harm Askes
Harm Askes Maastricht University
Thomas J. R. Hughes
Thomas J. R. Hughes The University of Texas at Austin
Robert B. Gramacy
Robert B. Gramacy Virginia Tech
Stefan M. Wild
Stefan M. Wild Lawrence Berkeley National Laboratory
Andrew J. Wathen
Andrew J. Wathen University of Oxford
Andrew W. Woods
Andrew W. Woods University of Cambridge
Barry Smith
Barry Smith Argonne National Laboratory
William J. Clegg
William J. Clegg University of Cambridge

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