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G. De Roeck

G. De Roeck

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Mechanical and Aerospace Engineering
Belgium
2026

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
79
Citations
23957
World Ranking
224
National Ranking
2

G. De Roeck 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 G. De Roeck 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: 536 publications — 95th percentile

95% of scientists in this discipline score the same or lower.

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

G. De Roeck 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 G. De Roeck 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: 79 D-Index — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Mechanical and Aerospace Engineering in Belgium Leader Award
  • 2025 - Research.com Mechanical and Aerospace Engineering in Belgium Leader Award

Overview

G. De Roeck is affiliated with KU Leuven in Belgium and has a research focus concentrated predominantly in engineering, with significant attention to civil and structural engineering. Their work encompasses a broad range of topics related to structural health monitoring, infrastructure maintenance, and structural vibration analysis.

In terms of subject expertise, the main fields of study for this scientist include:

  • Engineering

Their subfields of study further narrow into:

  • Civil and Structural Engineering
  • Mechanical Engineering
  • Mechanics of Materials
  • Electrical and Electronic Engineering
  • Artificial Intelligence

The specialist topics addressed in their research cover:

  • Structural Health Monitoring Techniques
  • Infrastructure Maintenance and Monitoring
  • Structural Engineering and Vibration Analysis
  • Advanced Fiber Optic Sensors
  • Ultrasonics and Acoustic Wave Propagation
  • Concrete Corrosion and Durability
  • Railway Engineering and Dynamics

Recent publications illustrate an ongoing engagement with hybrid deep learning methods and computational intelligence in damage detection of structural materials. Representative papers include:

  • Data-Driven Structural Health Monitoring Using Feature Fusion and Hybrid Deep Learning, 2020, IEEE Transactions on Automation Science and Engineering
  • Efficient Artificial Neural Networks Based on a Hybrid Metaheuristic Optimization Algorithm for Damage Detection in Laminated Composite Structures, 2020, Composite Structures
  • A Hybrid Computational Intelligence Approach for Structural Damage Detection Using Marine Predator Algorithm and Feedforward Neural Networks, 2021, Computers & Structures
  • An Efficient Stochastic-Based Coupled Model for Damage Identification in Plate Structures, 2021, Engineering Failure Analysis
  • A Novel Machine-Learning Based on the Global Search Techniques Using Vectorized Data for Damage Detection in Structures, 2020, International Journal of Engineering Science

Frequent co-authors in their research network include:

  • Magd Abdel Wahab
  • Thanh Bui-Tien
  • H. Tran-Ngoc
  • Edwin Reynders
  • Samir Khatir

Key venues where G. De Roeck frequently publishes their research include:

  • Ghent University Academic Bibliography (Ghent University)
  • Journal of Sound and Vibration
  • Scientific Reports
  • Composite Structures
  • Engineering Structures

Best Publications

  • REFERENCE-BASED STOCHASTIC SUBSPACE IDENTIFICATION FOR OUTPUT-ONLY MODAL ANALYSIS

    Bart Peeters;Guido De Roeck

  • One-year monitoring of the Z24-Bridge : environmental effects versus damage events

    Bart Peeters;Guido De Roeck

  • Stochastic System Identification for Operational Modal Analysis: A Review

    Bart Peeters;Guido De Roeck

  • Damage detection in bridges using modal curvatures: application to a real damage scenario

    M.M. Abdel Wahab;G. De Roeck

  • 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

  • Dealing with uncertainty in model updating for damage assessment: A review

    Ellen Simoen;Guido De Roeck;Geert Lombaert

  • Vibration-based damage detection in civil engineering: excitation sources and temperature effects

    Bart Peeters;Johan Maeck;Guido De Roeck

  • 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

  • Monitoring historical masonry structures with operational modal analysis: Two case studies

    L.F. Ramos;L. Marques;P.B. Lourenço;G. De Roeck

  • Structural damage identification of the highway bridge Z24 by FE model updating

    A. Teughels;G. De Roeck

  • STRUCTURAL DAMAGE IDENTIFICATION USING MODAL DATA. I: SIMULATION VERIFICATION

    Wei-Xin Ren;Guido De Roeck

  • Damage assessment by FE model updating using damage functions

    Anne Teughels;Johan Maeck;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

  • Reference based stochastic subspace identification in civil engineering

    B. Peeters;G. De Roeck

  • STRUCTURAL DAMAGE IDENTIFICATION USING MODAL DATA. II: TEST VERIFICATION

    Wei-Xin Ren;Guido De Roeck

  • 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

Frequent Co-Authors

Bart Peeters
Bart Peeters Siemens (Belgium)
Magd Abdel Wahab
Magd Abdel Wahab Ghent University
Paulo B. Lourenço
Paulo B. Lourenço University of Minho
Samir Khatir
Samir Khatir Ho Chi Minh City Open University
Álvaro Cunha
Álvaro Cunha University of Porto
Joris Degrieck
Joris Degrieck Ghent University
Bart Nicolai
Bart Nicolai KU Leuven

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