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Edwin Reynders

Edwin Reynders

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
36
Citations
8103
World Ranking
2475
National Ranking
23

Edwin Reynders 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 Edwin Reynders 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: 273 publications — 66th percentile

66% of scientists in this discipline score the same or lower.

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

Edwin Reynders 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 Edwin Reynders 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: 36 D-Index — 28th percentile

28% of scientists in this discipline score the same or lower.

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

Overview

Edwin Reynders is affiliated with KU Leuven in Belgium and specializes in Engineering, with a strong focus on Civil and Structural Engineering. Their research spans multiple subfields, including Biomedical Engineering, Speech and Hearing, Cognitive Neuroscience, and Mechanics of Materials.

The primary topics of Reynders' research encompass Structural Health Monitoring Techniques, Acoustic Wave Phenomena Research, Noise Effects and Management, Concrete Corrosion and Durability, Hearing Loss and Rehabilitation, Structural Engineering and Vibration Analysis, and Infrastructure Maintenance and Monitoring.

Recent publications reflect a concentration on structural health monitoring and vibration analysis, including:

  • Validation of vibration-based structural health monitoring on retrofitted railway bridge KW51 (2021, Mechanical Systems and Signal Processing)
  • One-year operational modal analysis of a steel bridge from high-resolution macrostrain monitoring: Influence of temperature vs. retrofitting (2021, Mechanical Systems and Signal Processing)
  • Uncertainty quantification in data-driven stochastic subspace identification (2020, Mechanical Systems and Signal Processing)
  • An efficient approach to model updating for a multispan railway bridge using orthogonal diagonalization combined with improved particle swarm optimization (2020, Journal of Sound and Vibration)
  • The role of modal parameters uncertainty estimation in automated modal identification, modal tracking and data normalization (2020, Engineering Structures)

Frequent co-authors associated with Reynders' work include Cédric Van hoorickx, Geert Lombaert, Dimitrios Anastasopoulos, Guido De Roeck, and Daniele Giannini.

Publications have appeared predominantly in these venues:

  • NOISE-CON proceedings
  • Journal of Sound and Vibration
  • Engineering Structures
  • Applied Acoustics
  • Mechanical Systems and Signal Processing

Best Publications

  • System Identification Methods for (Operational) Modal Analysis: Review and Comparison

    Edwin Reynders

  • Vibration based Structural Health Monitoring using output-only measurements under changing environment

    A. Deraemaeker;E. Reynders;G. De Roeck;J. Kullaa

  • An augmented Kalman filter for force identification in structural dynamics

    E. Lourens;E. Reynders;G. De Roeck;G. Degrande

  • Fully automated (operational) modal analysis

    Edwin Reynders;Jeroen Houbrechts;Guido De Roeck

  • Uncertainty bounds on modal parameters obtained from stochastic subspace identification

    Edwin Reynders;Rik Pintelon;Guido De Roeck

  • Reference-based combined deterministic–stochastic subspace identification for experimental and operational modal analysis

    Edwin Reynders;Guido De Roeck

  • Joint input-response estimation for structural systems based on reduced-order models and vibration data from a limited number of sensors

    E. Lourens;C. Papadimitriou;C. Papadimitriou;S. Gillijns;E. Reynders

  • Output-only structural health monitoring in changing environmental conditions by means of nonlinear system identification:

    Edwin Reynders;Gersom Wursten;Guido De Roeck

  • Uncertainty quantification in operational modal analysis with stochastic subspace identification: Validation and applications

    Edwin Reynders;Kristof Maes;Geert Lombaert;Guido De Roeck

  • Experimental and numerical analysis of a composite bridge for high-speed trains

    K. Liu;E. Reynders;G. De Roeck;G. Lombaert

  • Sensitivity-based finite element model updating using constrained optimization with a trust region algorithm

    Pelin Gundes Bakir;Pelin Gundes Bakir;Edwin Reynders;Guido De Roeck

  • Finite element model updating and structural damage identification using OMAX data

    Edwin Reynders;Anne Teughels;Guido De Roeck

  • Damage Identification on the Tilff Bridge by Vibration Monitoring Using Optical Fiber Strain Sensors

    Edwin Reynders;Guido De Roeck;Pelin Gundes Bakir;Claude Sauvage

  • Design of sensor networks for instantaneous inversion of modally reduced order models in structural dynamics

    K. Maes;E. Lourens;E. Lourens;K. Van Nimmen;E. Reynders

  • A local flexibility method for vibration-based damage localization and quantification

    Edwin Reynders;Guido De Roeck

  • Validation of vibration-based structural health monitoring on retrofitted railway bridge KW51

    K. Maes;L. Van Meerbeeck;E.P.B. Reynders;G. Lombaert

  • The influence of environmental parameters on the dynamic behaviour of the San Frediano bell tower in Lucca

    Riccardo Mario Azzara;Guido De Roeck;Maria Girardi;Cristina Padovani

  • Finite element modelling of a silo based on experimental modal analysis

    D. Dooms;G. Degrande;G. De Roeck;E. Reynders

  • An improved finite element model updating method by the global optimization technique 'Coupled Local Minimizers'

    Pelin Gundes Bakir;Edwin Reynders;Guido De Roeck

  • Modal contribution and state space order selection in operational modal analysis

    F. Javier Cara;Jesús Juan;Enrique Alarcón;Edwin Reynders

  • The Local Flexibility method for Vibration-based damage localization and quantification

    Edwin Reynders;Guido De Roeck

  • Damage identification on the Tilff bridge by vibration monitoring using optical fiber strain sensors

    Edwin Reynders;Guido De Roeck;Anne Teughels;P.G Bakir

Frequent Co-Authors

G. De Roeck
G. De Roeck KU Leuven
Robin S. Langley
Robin S. Langley University of Cambridge
Francis Berghmans
Francis Berghmans Vrije Universiteit Brussel
Filipe Magalhães
Filipe Magalhães University of Porto
Patrick Guillaume
Patrick Guillaume Vrije Universiteit Brussel
Álvaro Cunha
Álvaro Cunha University of Porto
Costas Papadimitriou
Costas Papadimitriou University Of Thessaly
Rik Pintelon
Rik Pintelon Vrije Universiteit Brussel

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