World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
32
Citations
7111
World Ranking
3105
National Ranking
1052

T. Strouboulis publication distribution in Mechanical and Aerospace Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mechanical and Aerospace Engineering in 2026. The highlighted bar marks where T. Strouboulis sits on this spectrum.

47–56 publications: 10 scientists 57–66 publications: 23 scientists 67–76 publications: 32 scientists 77–86 publications: 62 scientists 87–96 publications: 67 scientists 97–106 publications: 91 scientists 107–116 publications: 113 scientists 117–126 publications: 114 scientists 127–136 publications: 130 scientists 137–146 publications: 140 scientists 147–156 publications: 155 scientists 157–166 publications: 132 scientists 167–176 publications: 133 scientists 177–186 publications: 130 scientists 187–196 publications: 140 scientists 197–206 publications: 115 scientists 207–216 publications: 125 scientists 217–226 publications: 117 scientists 227–236 publications: 99 scientists 237–246 publications: 92 scientists 247–256 publications: 100 scientists 257–266 publications: 95 scientists 267–276 publications: 88 scientists 277–286 publications: 77 scientists 287–296 publications: 74 scientists 297–306 publications: 74 scientists 307–316 publications: 61 scientists 317–326 publications: 69 scientists 327–336 publications: 59 scientists 337–346 publications: 58 scientists 347–356 publications: 45 scientists 357–366 publications: 44 scientists 367–376 publications: 36 scientists 377–386 publications: 41 scientists 387–396 publications: 32 scientists 397–406 publications: 23 scientists 407–416 publications: 28 scientists 417–426 publications: 27 scientists 427–436 publications: 25 scientists 437–446 publications: 23 scientists 447–456 publications: 23 scientists 457–466 publications: 20 scientists 467–476 publications: 12 scientists 477–486 publications: 24 scientists 487–496 publications: 18 scientists 497–506 publications: 12 scientists 507–516 publications: 13 scientists 517–526 publications: 21 scientists 527–536 publications: 12 scientists 537–546 publications: 8 scientists 547–556 publications: 16 scientists 557–566 publications: 3 scientists 567–576 publications: 11 scientists 577–586 publications: 6 scientists 587–596 publications: 5 scientists 597–606 publications: 6 scientists 607–616 publications: 7 scientists 617–626 publications: 7 scientists 627–636 publications: 10 scientists 637–646 publications: 4 scientists 647–656 publications: 3 scientists 657–658 publications: 2 scientists 659+ publications: 100 scientists
47 publications 659+

This scientist: 66 publications — 1st percentile

1% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 659 publications or more.

T. Strouboulis D-index placement in Mechanical and Aerospace Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where T. Strouboulis sits on this spectrum.

30 D-Index: 83 scientists 31 D-Index: 113 scientists 32 D-Index: 144 scientists 33 D-Index: 153 scientists 34 D-Index: 189 scientists 35 D-Index: 158 scientists 36 D-Index: 139 scientists 37 D-Index: 127 scientists 38 D-Index: 130 scientists 39 D-Index: 125 scientists 40 D-Index: 104 scientists 41 D-Index: 100 scientists 42 D-Index: 106 scientists 43 D-Index: 101 scientists 44 D-Index: 103 scientists 45 D-Index: 79 scientists 46 D-Index: 88 scientists 47 D-Index: 70 scientists 48 D-Index: 83 scientists 49 D-Index: 44 scientists 50 D-Index: 64 scientists 51 D-Index: 56 scientists 52 D-Index: 50 scientists 53 D-Index: 48 scientists 54 D-Index: 58 scientists 55 D-Index: 52 scientists 56 D-Index: 48 scientists 57 D-Index: 42 scientists 58 D-Index: 34 scientists 59 D-Index: 42 scientists 60 D-Index: 37 scientists 61 D-Index: 42 scientists 62 D-Index: 44 scientists 63 D-Index: 22 scientists 64 D-Index: 33 scientists 65 D-Index: 29 scientists 66 D-Index: 23 scientists 67 D-Index: 29 scientists 68 D-Index: 24 scientists 69 D-Index: 19 scientists 70 D-Index: 34 scientists 71 D-Index: 26 scientists 72 D-Index: 19 scientists 73 D-Index: 18 scientists 74 D-Index: 19 scientists 75 D-Index: 14 scientists 76 D-Index: 19 scientists 77 D-Index: 8 scientists 78 D-Index: 18 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 17 scientists 82 D-Index: 11 scientists 83 D-Index: 16 scientists 84 D-Index: 7 scientists 85 D-Index: 9 scientists 86 D-Index: 8 scientists 87 D-Index: 6 scientists 88 D-Index: 6 scientists 89 D-Index: 7 scientists 90 D-Index: 10 scientists 91 D-Index: 4 scientists 92 D-Index: 4 scientists 93+ D-Index: 99 scientists
30 D-Index 93+

This scientist: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 93 D-Index or more.

Best Publications

  • The design and analysis of the Generalized Finite Element Method

    T. Strouboulis;Ivo M Babuska;K. Copps

  • The finite element method and its reliability

    Ivo Babuška;Theofanis Strouboulis

  • The generalized finite element method

    T. Strouboulis;T. Strouboulis;K. Copps;K. Copps;I. Babuška;I. Babuška

  • The generalized finite element method: an example of its implementation and illustration of its performance

    Unknown

  • Validation of A-Posteriori Error Estimators by Numerical Approach

    Ivo M Babuska;T. Strouboulis;C. S. Upadhyay;S. K. Gangaraj

  • A model study of the quality of a posteriori error estimators for linear elliptic problems. Error estimation in the interior of patchwise uniform grids of triangles

    Ivo M Babuska;T. Strouboulis;C. S. Upadhyay

  • The generalized finite element method for Helmholtz equation: Theory, computation, and open problems

    Theofanis Strouboulis;Ivo Babuška;Realino Hidajat

  • A posteriori estimation and adaptive control of the pollution error in the h‐version of the finite element method

    Ivo M Babuska;Ivo M Babuska;T. Strouboulis;C. S. Upadhyay;S. K. Gangaraj

  • Adaptive finite element methods for the analysis of inviscid compressible flow: Part I. Fast refinement/unrefinement and moving mesh methods for unstructured meshes

    J T Oden;T Strouboulis;P Devloo

  • Adaptive methods for problems in solid and fluid mechanics

    J. T. Oden;L. Demkowicz;T. Strouboulis

  • A posteriori error estimation for finite element solutions of Helmholtz' equation—Part II: estimation of the pollution error

    Ivo M Babuska;F. Ihlenburg;T. Strouboulis;S. K. Gangaraj

  • Computer‐based proof of the existence of superconvergence points in the finite element method; superconvergence of the derivatives in finite element solutions of Laplace's, Poisson's, and the elasticity equations

    Ivo M Babuska;T. Strouboulis;C. S. Upadhyay;S. K. Gangaraj

  • Generalized finite element method using mesh-based handbooks: application to problems in domains with many voids

    Theofanis Strouboulis;Lin Zhang;Ivo M Babuska

  • A posteriori error estimation for finite element solutions of Helmholtz’ equation. part I: the quality of local indicators and estimators

    Ivo M Babuska;F. Ihlenburg;T. Strouboulis;S. K. Gangaraj

  • A posteriori error estimation for generalized finite element methods

    Theofanis Strouboulis;Lin Zhang;Delin Wang;Ivo Babuška

  • Adaptive finite elements for flow problems with moving boundaries. part I: Variational principles and a posteriori estimates

    L. Demkowicz;J.T. Oden;T. Strouboulis

  • Pollution Error in the h-Version of the Finite Element Method and the Local Quality of the Recovered Derivatives.

    Ivo M Babuska;T. Strouboulis;S. K. Gangaraj;C. S. Upadhyay

  • Finite Elements: An Introduction to the Method and Error Estimation

    Ivo Babuška;John Robert Whiteman;Theofanis Strouboulis

  • Pollution-error in the h -version of the finite-element method and the local quality of a-posteriori error estimators

    I. Babuška;T. Strouboulis;A. Mathur;C. S. Upadhyay

  • Implementation of an adaptive refinement technique for the SUPG algorithm

    P. Devloo;J. T. Oden;T. Strouboulis

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