World's Best Scientists 2026 revealed!
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Mechanical and Aerospace Engineering
USA
2026

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
81
Citations
21979
World Ranking
198
National Ranking
96

Joaquim R. R. A. Martins 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 Joaquim R. R. A. Martins 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: 353 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Joaquim R. R. A. Martins 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 Joaquim R. R. A. Martins 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: 81 D-Index — 95th percentile

95% 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 United States Leader Award

Overview

Joaquim R. R. A. Martins is affiliated with the University of Michigan-Ann Arbor in the United States. Their research is predominantly situated within the field of engineering, with a substantial focus on computational mechanics and aerospace engineering. The scientist's work extends to related areas such as global and planetary change, statistical and nonlinear physics, and computational theory and mathematics.

Their primary research topics include:

  • Computational Fluid Dynamics and Aerodynamics
  • Advanced Aircraft Design and Technologies
  • Model Reduction and Neural Networks
  • Fluid Dynamics and Turbulent Flows
  • Probabilistic and Robust Engineering Design
  • Wind Energy Research and Development
  • Advanced Multi-Objective Optimization Algorithms

Joaquim R. R. A. Martins has contributed to various academic venues, frequently publishing in:

  • AIAA Journal
  • Journal of Aircraft
  • AIAA SCITECH 2023 Forum
  • Structural and Multidisciplinary Optimization
  • arXiv (Cornell University)

Their recent published papers include:

  • "Machine learning in aerodynamic shape optimization", 2022, Progress in Aerospace Sciences
  • "Hydrogen-powered aircraft: Fundamental concepts, key technologies, and environmental impacts", 2023, Progress in Aerospace Sciences
  • "pyOptSparse: A Python framework for large-scale constrained nonlinear optimization of sparse systems", 2020, The Journal of Open Source Software
  • "Rapid airfoil design optimization via neural networks-based parameterization and surrogate modeling", 2021, Aerospace Science and Technology
  • "ADflow: An Open-Source Computational Fluid Dynamics Solver for Aerodynamic and Multidisciplinary Optimization", 2020, Journal of Aerospace Information Systems

The scientist has collaborated frequently with several co-authors, including:

  • Charles A. Mader
  • Anıl Yıldırım
  • Yingqian Liao
  • Sicheng He
  • Marco Mangano

Joaquim R. R. A. Martins has also authored a book titled Engineering Design Optimization, published in 2021 by Cambridge University Press.

Best Publications

  • Multidisciplinary design optimization: A survey of architectures

    Joaquim R. R. A. Martins;Andrew B. Lambe

  • The complex-step derivative approximation

    Joaquim R. R. A. Martins;Peter Sturdza;Juan J. Alonso

  • OpenMDAO: an open-source framework for multidisciplinary design, analysis, and optimization

    Justin S. Gray;John T. Hwang;Joaquim R. R. A. Martins;Kenneth T. Moore

  • Electric, hybrid, and turboelectric fixed-wing aircraft: A review of concepts, models, and design approaches

    Benjamin J. Brelje;Joaquim R.R.A. Martins

  • Extensions to the design structure matrix for the description of multidisciplinary design, analysis, and optimization processes

    Andrew B. Lambe;Joaquim R. Martins

  • pyOpt: a Python-based object-oriented framework for nonlinear constrained optimization

    Ruben E. Perez;Peter W. Jansen;Joaquim R. Martins

  • Multipoint High-Fidelity Aerostructural Optimization of a Transport Aircraft Configuration

    Gaetan K. W. Kenway;Joaquim R. R. A. Martins

  • High-Fidelity Aerostructural Design Optimization of a Supersonic Business Jet

    Joaquim R. R. A. Martins;Juan J. Alonso;James J. Reuther

  • Review and Unification of Methods for Computing Derivatives of Multidisciplinary Computational Models

    Joaquim R. R. A. Martins;John T. Hwang

  • A Python surrogate modeling framework with derivatives

    Mohamed Amine Bouhlel;John T. Hwang;Nathalie Bartoli;Rémi Lafage

  • Aerodynamic Shape Optimization Investigations of the Common Research Model Wing Benchmark

    Zhoujie Lyu;Gaetan K. W. Kenway;Joaquim R. R. A. Martins

  • Machine Learning in Aerodynamic Shape Optimization

    Unknown

  • Scalable Parallel Approach for High-Fidelity Steady-State Aeroelastic Analysis and Adjoint Derivative Computations

    Gaetan K. W. Kenway;Graeme J. Kennedy;Joaquim R. R. A. Martins

  • A Coupled-Adjoint Sensitivity Analysis Method for High-Fidelity Aero-Structural Design

    Joaquim R.R.A. Martins;Juan J. Alonso;James J. Reuther

  • Effective adjoint approaches for computational fluid dynamics

    Gaetan K.W. Kenway;Charles A. Mader;Ping He;Joaquim R.R.A. Martins

  • Aerodynamic Design Optimization Studies of a Blended-Wing-Body Aircraft

    Zhoujie Lyu;Joaquim R. R. A. Martins

  • An adaptive approach to constraint aggregation using adjoint sensitivity analysis

    Nicholas M. K. Poon;Joaquim R. R. A. Martins

  • A CAD-Free Approach to High-Fidelity Aerostructural Optimization

    Gaetan K.W. Kenway;Graeme J. Kennedy;Joaquim R.R.A. Martins

  • AN AUTOMATED METHOD FOR SENSITIVITY ANALYSIS USING COMPLEX VARIABLES

    Joaquim R. R. A. Martins;Ilan M. Kroo;Juan J. Alonso

  • Multidisciplinary design optimization of offshore wind turbines for minimum levelized cost of energy

    T. Ashuri;M.B. Zaaijer;J.R.R.A. Martins;G.J.W. van Bussel

  • ADjoint: An Approach for the Rapid Development of Discrete Adjoint Solvers

    Charles A. Mader;Joaquim R. R. A. Martins;Juan J. Alonso;Edwin van der Weide

Frequent Co-Authors

Wei Shyy
Wei Shyy Hong Kong University of Science and Technology
Yin Lu Young
Yin Lu Young University of Michigan–Ann Arbor
Ann Marie Sastry
Ann Marie Sastry University of Michigan–Ann Arbor
Timothy W. Simpson
Timothy W. Simpson Pennsylvania State University
Karen Willcox
Karen Willcox The University of Texas at Austin
David W. Zingg
David W. Zingg University of Toronto
Peretz P. Friedmann
Peretz P. Friedmann University of Michigan–Ann Arbor
Niels N. Sørensen
Niels N. Sørensen Technical University of Denmark
Jie Zhang
Jie Zhang The University of Texas at Dallas
Anthony M. Waas
Anthony M. Waas Arizona State University

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