World's Best Scientists 2026 revealed!
Javier Cuadrado

Javier Cuadrado

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
30
Citations
2738
World Ranking
3434
National Ranking
43

Javier Cuadrado 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 Javier Cuadrado 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: 145 publications — 22nd percentile

22% of scientists in this discipline score the same or lower.

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

Javier Cuadrado 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 Javier Cuadrado 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: 30 D-Index — 2nd percentile

2% of scientists in this discipline score the same or lower.

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

Best Publications

  • Stable force identification in structural dynamics using Kalman filtering and dummy-measurements

    Frank Naets;Javier Cuadrado;Wim Desmet

  • Modeling and Solution Methods for Efficient Real-Time Simulation of Multibody Dynamics

    Unknown

  • Intelligent Simulation of Multibody Dynamics: Space-State and Descriptor Methods in Sequential and Parallel Computing Environments

    Unknown

  • An efficient computational method for real time multibody dynamic simulation in fully cartesian coordinates

    Unknown

  • Dealing with multiple contacts in a human-in-the-loop application

    Unknown

  • A Combined Penalty and Recursive Real-Time Formulation for Multibody Dynamics

    Unknown

  • A comparison in terms of accuracy and efficiency between a MBS dynamic formulation with stress analysis and a non-linear FEA code

    Unknown

  • PENALTY, SEMI-RECURSIVE AND HYBRID METHODS FOR MBS REAL-TIME DYNAMICS IN THE CONTEXT OF STRUCTURAL INTEGRATORS

    Unknown

  • A simple and general method for kinematic synthesis of spatial mechanisms

    Unknown

  • A benchmarking system for MBS simulation software: Problem standardization and performance measurement

    Unknown

  • Online state and input force estimation for multibody models employing extended Kalman filtering

    Frank Naets;Roland Pastorino;Javier Cuadrado;Wim Desmet

  • Analysis of different uncertainties in the inverse dynamic analysis of human gait

    Unknown

  • An Efficient Unified Method for the Combined Simulation of Multibody and Hydraulic Dynamics: Comparison with Simplified and Co-Integration Approaches

    Unknown

  • Real-time state observers based on multibody models and the extended Kalman filter

    Unknown

  • Automotive observers based on multibody models and the extended Kalman filter

    Unknown

  • Determination of Holonomic and Nonholonomic Constraint Reactions in an Index-3 Augmented Lagrangian Formulation With Velocity and Acceleration Projections

    Unknown

  • Prediction of fatigue life in multibody systems considering the increase of dynamic loads due to wear in clearances

    M. Ordiz;J. Cuadrado;M. Cabello;I. Retolaza

  • Design, Control, and Pilot Study of a Lightweight and Modular Robotic Exoskeleton for Walking Assistance After Spinal Cord Injury

    Josep M. Font-Llagunes;Urbano Lugrís;Daniel Clos;F. Javier Alonso

  • Multibody Dynamics: Computational Methods and Applications

    Juan Carlos Garca Orden;Jos M. Goicolea;Javier Cuadrado

  • Experimental Validation of a Flexible MBS Dynamic Formulation through Comparison between Measured and Calculated Stresses on a Prototype Car

    J. Cuadrado;R. Gutiérrez;M.A. Naya;M. González

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