World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
32
Citations
3333
World Ranking
3215
National Ranking
230

Nikolaos Dervilis 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 Nikolaos Dervilis 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: 115 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: 62 scientists 317–326 publications: 70 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: 200 publications — 44th percentile

44% of scientists in this discipline score the same or lower.

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

Nikolaos Dervilis 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 Nikolaos Dervilis 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: 126 scientists 40 D-Index: 104 scientists 41 D-Index: 100 scientists 42 D-Index: 107 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: 100 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

  • On damage diagnosis for a wind turbine blade using pattern recognition

    N. Dervilis;M. Choi;S.G. Taylor;R.J. Barthorpe

  • Foundations of population-based SHM, Part III: Heterogeneous populations – Mapping and transfer

    P. Gardner;L.A. Bull;J. Gosliga;N. Dervilis

  • On robust regression analysis as a means of exploring environmental and operational conditions for SHM data

    N. Dervilis;K. Worden;E.J. Cross

  • Foundations of population-based SHM, Part I : homogeneous populations and forms

    L.A. Bull;P.A. Gardner;J. Gosliga;T.J. Rogers

  • Foundations of population-based SHM, part II : heterogeneous populations – graphs, networks, and communities

    J. Gosliga;P.A. Gardner;L.A. Bull;N. Dervilis

  • A new methodology for automating acoustic emission detection of metallic fatigue fractures in highly demanding aerospace environments: An overview

    Karen Margaret Holford;Mark Jonathan Eaton;James J. Hensman;Rhys Pullin

  • Aspects of structural health and condition monitoring of offshore wind turbines.

    I. Antoniadou;N. Dervilis;E. Papatheou;A. E. Maguire

  • Probabilistic modelling of wind turbine power curves with application of heteroscedastic Gaussian Process regression

    T.J. Rogers;P. Gardner;N. Dervilis;K. Worden

  • A Bayesian non-parametric clustering approach for semi-supervised Structural Health Monitoring

    T.J. Rogers;K. Worden;R. Fuentes;N. Dervilis

  • A Performance Monitoring Approach for the Novel Lillgrund Offshore Wind Farm

    Evangelos Papatheou;Nikolaos Dervilis;Andrew Eoghan Maguire;Ifigeneia Antoniadou

  • Model selection and parameter estimation in structural dynamics using approximate Bayesian computation

    Anis Ben Abdessalem;Nikolaos Dervilis;David Wagg;Keith Worden

  • Active learning for semi-supervised structural health monitoring

    L.A. Bull;K. Worden;G. Manson;N. Dervilis

  • Damage detection in operational wind turbine blades using a new approach based on machine learning

    Kartik Chandrasekhar;Nevena Stevanovic;Elizabeth J. Cross;Nikolaos Dervilis

  • On the transfer of damage detectors between structures: an experimental case study

    L.A. Bull;P.A. Gardner;N. Dervilis;E. Papatheou

  • Towards semi-supervised and probabilistic classification in structural health monitoring

    L.A. Bull;K. Worden;N. Dervilis

  • Equation discovery for nonlinear dynamical systems: A Bayesian viewpoint

    R. Fuentes;R. Nayek;P. Gardner;N. Dervilis

  • Probabilistic active learning : an online framework for structural health monitoring

    L.A. Bull;T.J. Rogers;C. Wickramarachchi;E.J. Cross

  • On evolutionary system identification with applications to nonlinear benchmarks

    K. Worden;R.J. Barthorpe;E.J. Cross;N. Dervilis

  • Robust methods of inclusive outlier analysis for structural health monitoring

    N. Dervilis;E.J. Cross;R.J. Barthorpe;K. Worden

  • Automatic kernel selection for Gaussian processes regression with approximate Bayesian computation and sequential Monte Carlo

    Anis Ben Abdessalem;Nikolaos Dervilis;David J. Wagg;Keith Worden

Frequent Co-Authors

Keith Worden
Keith Worden University of Sheffield
Elizabeth J. Cross
Elizabeth J. Cross University of Sheffield
David J. Wagg
David J. Wagg University of Sheffield
Eleni Chatzi
Eleni Chatzi ETH Zurich
Charles R. Farrar
Charles R. Farrar Los Alamos National Laboratory
Gyuhae Park
Gyuhae Park Chonnam National University
Wieslaw J. Staszewski
Wieslaw J. Staszewski AGH University of Science and Technology
Simon A Neild
Simon A Neild University of Bristol
Geoffrey Holmes
Geoffrey Holmes University of Waikato
David Sanders
David Sanders Royal Hallamshire Hospital

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