World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
56
Citations
10873
World Ranking
854
National Ranking
364

Raymundo Arroyave 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 Raymundo Arroyave 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.

Raymundo Arroyave 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 Raymundo Arroyave 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: 56 D-Index — 76th percentile

76% of scientists in this discipline score the same or lower.

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

Overview

Raymundo Arroyave is affiliated with Texas A&M University in the United States. The primary fields of study for their research include Engineering and Materials Science. Within these broad fields, their work spans several subfields such as Mechanical Engineering, Materials Chemistry, Automotive Engineering, Aerospace Engineering, and Industrial and Manufacturing Engineering.

The main topics covered in their research involve Machine Learning in Materials Science, Additive Manufacturing Materials and Processes, High Entropy Alloys Studies, Additive Manufacturing and 3D Printing Technologies, Shape Memory Alloy Transformations, Manufacturing Process and Optimization, and High-Temperature Coating Behaviors.

Some of their recent publications are:

  • Laser Powder Bed Fusion of Defect-Free NiTi Shape Memory Alloy Parts with Superior Tensile Superelasticity, 2022, Acta Materialia
  • Controlling martensitic transformation characteristics in defect-free NiTi shape memory alloys fabricated using laser powder bed fusion and a process optimization framework, 2021, Acta Materialia
  • Towards stacking fault energy engineering in FCC high entropy alloys, 2021, Acta Materialia
  • Accelerated design of Fe-based soft magnetic materials using machine learning and stochastic optimization, 2020, Acta Materialia
  • Bayesian optimization with adaptive surrogate models for automated experimental design, 2021, npj Computational Materials

Raymundo Arroyave has collaborated frequently with several co-authors, including:

  • İbrahim Karaman
  • Alaa Elwany
  • Brent Vela
  • Danial Khatamsaz
  • Vahid Attari

Their work is commonly published in a range of venues, most notably:

  • Acta Materialia
  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Additive Manufacturing
  • npj Computational Materials

Best Publications

  • Ab initio lattice stability in comparison with CALPHAD lattice stability

    Y. Wang;S. Curtarolo;C. Jiang;R. Arroyave

  • First-Principles Calculation of Self-Diffusion Coefficients

    M. Mantina;Y. Wang;R. Arroyave;L. Q. Chen

  • An ultra-high strength martensitic steel fabricated using selective laser melting additive manufacturing: Densification, microstructure, and mechanical properties

    Raiyan Seede;David Shoukr;Bing Zhang;Austin Whitt

  • TEM study of structural and microstructural characteristics of a precipitate phase in Ni-rich Ni–Ti–Hf and Ni–Ti–Zr shape memory alloys

    R. Santamarta;R. Arróyave;J. Pons;A. Evirgen

  • Assessing Printability Maps in Additive Manufacturing of Metal Alloys

    Luke Johnson;Mohamad Mahmoudi;Bing Zhang;Raiyan Seede

  • Spatial Control of Functional Response in 4D-Printed Active Metallic Structures.

    Ji Ma;Brian Franco;Gustavo Tapia;Kubra Karayagiz

  • Controlling martensitic transformation characteristics in defect-free NiTi shape memory alloys fabricated using laser powder bed fusion and a process optimization framework

    L. Xue;K.C. Atli;S. Picak;C. Zhang

  • Enhancement of the selectivity of MXenes (M2C, M = Ti, V, Nb, Mo) via oxygen-functionalization: promising materials for gas-sensing and -separation

    A. Junkaew;R. Arróyave

  • Thermodynamic properties of binary hcp solution phases from special quasirandom structures

    Dongwon Shin;Raymundo Arróyave;Zi Kui Liu;Axel Van De Walle

  • Thermodynamic assessment of the Cu–Ti–Zr system

    R. Arroyave;T.W. Eagar;L. Kaufman

  • Thermodynamic modeling of the Hf–Si–O system

    Dongwon Shin;Raymundo Arróyave;Zi Kui Liu

  • Finite interface dissipation phase field modeling of Ni–Nb under additive manufacturing conditions

    Kubra Karayagiz;Kubra Karayagiz;Luke Johnson;Raiyan Seede;Vahid Attari

  • Towards Stacking Fault Energy Engineering in FCC High Entropy Alloys

    T. Khan;T. Khan;T. Kirk;G. Vazquez;P. Singh

  • Ab initio thermodynamic properties of stoichiometric phases in the Ni–Al system

    R. Arroyave;D. Shin;Z.-K. Liu

  • Tailored thermal expansion alloys

    J.A. Monroe;D. Gehring;I. Karaman;R. Arroyave

  • Phase equilibria, thermodynamics and solidification microstructures of Mg–Sn–Ca alloys, Part 1: Experimental investigation and thermodynamic modeling of the ternary Mg–Sn–Ca system

    A. Kozlov;M. Ohno;R. Arroyave;Z.K. Liu

  • Accelerated design of Fe-based soft magnetic materials using machine learning and stochastic optimization

    Yuhao Wang;Yefan Tian;Tanner Kirk;Omar Laris

  • Early stages of intermetallic compound formation and growth during lead-free soldering

    M.S. Park;R. Arróyave

  • Multi-objective Bayesian materials discovery: Application on the discovery of precipitation strengthened NiTi shape memory alloys through micromechanical modeling

    Alexandros Solomou;Guang Zhao;Shahin Boluki;Jobin K. Joy

  • Phase-field simulations of intermetallic compound growth in Cu/Sn/Cu sandwich structure under transient liquid phase bonding conditions

    M.S. Park;S.L. Gibbons;R. Arróyave

  • Mapping mechanisms and growth regimes of magnesium electrodeposition at high current densities

    Rachel Davidson;Ankit Verma;David Santos;Feng Hao

  • Thermodynamic modeling of the ZrO system

    Raymundo Arroyave;Larry Kaufman;Thomas W. Eagar

  • Complex magnetic ordering as a driving mechanism of multifunctional properties of Heusler alloys from first principles

    Peter Entel;Mario Siewert;Markus E. Gruner;Heike C. Herper

Frequent Co-Authors

Ibrahim Karaman
Ibrahim Karaman Texas A&M University
Zi-Kui Liu
Zi-Kui Liu Pennsylvania State University
Miladin Radovic
Miladin Radovic Texas A&M University
Duane D. Johnson
Duane D. Johnson Iowa State University
Sarbajit Banerjee
Sarbajit Banerjee Texas A&M University
Xinghang Zhang
Xinghang Zhang Purdue University West Lafayette
Y.I. Chumlyakov
Y.I. Chumlyakov National Research Tomsk State University
Mehmet Acet
Mehmet Acet University of Duisburg-Essen
Dimitris C. Lagoudas
Dimitris C. Lagoudas Texas A&M University

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