World's Best Scientists 2026 revealed!
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Engineering and Technology
Greece
2023

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
57
Citations
10793
World Ranking
810
National Ranking
7

Manolis Papadrakakis 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 Manolis Papadrakakis 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: 295 publications — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Manolis Papadrakakis 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 Manolis Papadrakakis 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: 57 D-Index — 77th percentile

77% 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

  • 2023 - Research.com Engineering and Technology in Greece Leader Award
  • 2022 - Research.com Engineering and Technology in Greece Leader Award
  • 2002 - Fellow of the International Association for Computational Mechanics (IACM)

Overview

Manolis Papadrakakis is affiliated with the National Technical University of Athens in Greece. Their research spans multiple areas within engineering, particularly focusing on civil and structural engineering, computational mechanics, and safety, risk, reliability, and quality. The scientist's work covers significant subfields such as civil and structural engineering, mechanics of materials, computational mechanics, building and construction, and safety-related disciplines.

The scientist's main fields of study are concentrated on engineering, with a strong emphasis on subfields including:

  • Civil and Structural Engineering
  • Mechanics of Materials
  • Computational Mechanics
  • Safety, Risk, Reliability and Quality
  • Building and Construction

Research topics frequently addressed include:

  • Geotechnical Engineering and Analysis
  • Geotechnical Engineering and Underground Structures
  • Structural Health Monitoring Techniques
  • Structural Behavior of Reinforced Concrete
  • Numerical methods in engineering
  • Advanced Numerical Methods in Computational Mathematics
  • Geotechnical Engineering and Soil Stabilization

Manolis Papadrakakis has published extensively, with papers appearing in venues such as EURODYN, Computer Methods in Applied Mechanics and Engineering, COMPDYN Proceedings, SN Applied Sciences, and Engineering Structures. Frequent publication venues include:

  • EURODYN
  • Computer Methods in Applied Mechanics and Engineering
  • COMPDYN Proceedings
  • SN Applied Sciences
  • Engineering Structures

Significant recent papers include:

  • A computational study on the uncertainty quantification of failure of clays with a modified Cam-Clay yield criterion, 2021, SN Applied Sciences
  • New fundamental period formulae for soil-reinforced concrete structures interaction using machine learning algorithms and ANNs, 2021, Soil Dynamics and Earthquake Engineering
  • AI-based shear capacity of FRP-reinforced concrete deep beams without stirrups, 2022, Engineering Structures
  • Domain decomposition methods for 3D crack propagation problems using XFEM, 2022, Computer Methods in Applied Mechanics and Engineering
  • Effect of Soil-Structure Interaction on Nonlinear Dynamic Response of Reinforced Concrete Structures, 2020, International Journal of Structural Stability and Dynamics

The scientist has collaborated frequently with the following researchers:

  • George Markou (9 publications)
  • Nikolaos Bakas (6 publications)
  • Michalis Fragiadakis (6 publications)
  • Costas Papadimitriou (6 publications)
  • Christos Mourlas (5 publications)

Manolis Papadrakakis was awarded the title of Fellow of the International Association for Computational Mechanics (IACM) in 2002.

Best Publications

  • Reliability-based structural optimization using neural networks and Monte Carlo simulation

    Manolis Papadrakakis;Nikos D Lagaros

  • Structural reliability analyis of elastic-plastic structures using neural networks and Monte Carlo simulation

    Manolis Papadrakakis;Vissarion Papadopoulos;Nikos D. Lagaros

  • Structural optimization using evolution strategies and neural networks

    Manolis Papadrakakis;Nikos D. Lagaros;Yiannis Tsompanakis

  • Structural optimization using evolutionary algorithms

    Nikolaos D. Lagaros;Manolis Papadrakakis;George Kokossalakis

  • A method for the automatic evaluation of the dynamic relaxation parameters

    M. Papadrakakis

  • Robust and efficient methods for stochastic finite element analysis using Monte Carlo simulation

    Manolis Papadrakakis;Vissarion Papadopoulos

  • Accelerated subset simulation with neural networks for reliability analysis

    Vissarion Papadopoulos;Dimitris G. Giovanis;Nikos D. Lagaros;Manolis Papadrakakis

  • A Hybrid Particle Swarm—Gradient Algorithm for Global Structural Optimization

    Vagelis Plevris;Manolis Papadrakakis

  • Stochastic finite element analysis of shells with combined random material and geometric properties

    G. Stefanou;M. Papadrakakis

  • Post-buckling analysis of spatial structures by vector iteration methods

    M. Papadrakakis

  • Performance-based multiobjective optimum design of steel structures considering life-cycle cost

    Michalis Fragiadakis;Nikos D. Lagaros;Manolis Papadrakakis

  • Neural network based prediction schemes of the non-linear seismic response of 3D buildings

    Nikos D. Lagaros;Manolis Papadrakakis

  • Performance-based optimum seismic design of reinforced concrete structures

    Michalis Fragiadakis;Manolis Papadrakakis

  • Determination of RVE size for random composites with local volume fraction variation

    Dimitrios Savvas;George Stefanou;Manolis Papadrakakis

  • A new era in scientific computing: Domain decomposition methods in hybrid CPU–GPU architectures

    M. Papadrakakis;G. Stavroulakis;A. Karatarakis

  • The mosaic of high performance domain Decomposition Methods for Structural Mechanics: Formulation, interrelation and numerical efficiency of primal and dual methods

    Yannis Fragakis;Manolis Papadrakakis

  • Parallel solution methods for stochastic finite element analysis using Monte Carlo simulation

    M. Papadrakakis;A. Kotsopulos

  • Developing fragility curves based on neural network IDA predictions

    Chara Ch. Mitropoulou;Manolis Papadrakakis

  • Design optimization of steel structures considering uncertainties

    M. Papadrakakis;N.D. Lagaros;V. Plevris

  • A Lagrange multiplier solution method for pounding of buildings during earthquakes

    M. Papadrakakis;H. Mouzakis;N. Plevris;S. Bitzarakis

  • The effect of material and thickness variability on the buckling load of shells with random initial imperfections

    Vissarion Papadopoulos;Manolis Papadrakakis

Frequent Co-Authors

Nikos D. Lagaros
Nikos D. Lagaros National Technical University of Athens
John Argyris
John Argyris University of Stuttgart
George Deodatis
George Deodatis Columbia University
Dominik Schillinger
Dominik Schillinger University of Minnesota
Thomas J. R. Hughes
Thomas J. R. Hughes The University of Texas at Austin
Alfredo Edmundo Huespe
Alfredo Edmundo Huespe National University of the Littoral
Kypros Pilakoutas
Kypros Pilakoutas University of Sheffield
Matthew G. Karlaftis
Matthew G. Karlaftis National Technical University of Athens
Dimitrios Vamvatsikos
Dimitrios Vamvatsikos National Technical University of Athens
Spyros Makridakis
Spyros Makridakis University of Nicosia

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