World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
41
Citations
7787
World Ranking
1905
National Ranking
718

Gregory J. Wagner 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 Gregory J. Wagner 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: 128 publications — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Gregory J. Wagner 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 Gregory J. Wagner 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: 41 D-Index — 45th percentile

45% of scientists in this discipline score the same or lower.

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

Overview

Gregory J. Wagner is affiliated with Northwestern University in the United States and specializes in the field of engineering. Their research spans several subfields including mechanical engineering, automotive engineering, mechanics of materials, cardiology and cardiovascular medicine, and computational mechanics.

The scientist's main research topics focus extensively on additive manufacturing materials and processes as well as 3D printing technologies. Other areas of interest include welding techniques and residual stresses, model reduction and neural networks, composite material mechanics, manufacturing process and optimization, and risk and safety analysis.

Recent publications by Gregory J. Wagner demonstrate a strong engagement with both computational and experimental approaches in materials science and engineering. Recent papers include:

  • Mesoscopic and multiscale modelling in materials, 2021, Nature Materials
  • A physics-informed machine learning method for predicting grain structure characteristics in directed energy deposition, 2021, Computational Materials Science
  • A conservative level set method on unstructured meshes for modeling multiphase thermo-fluid flow in additive manufacturing processes, 2020, Computer Methods in Applied Mechanics and Engineering
  • Data-driven analysis of process, structure, and properties of additively manufactured Inconel 718 thin walls, 2022, npj Computational Materials
  • Convolution Hierarchical Deep-learning Neural Networks (C-HiDeNN): finite elements, isogeometric analysis, tensor decomposition, and beyond, 2023, Computational Mechanics

Frequent co-authors in their work include Wing Kam Liu, Ye Lu, Satyajit Mojumder, Jiachen Guo, and Jian Cao, illustrating collaboration with a range of researchers.

Gregory J. Wagner has published repeatedly in venues that focus on computational and applied mechanics as well as additive manufacturing, including:

  • Computer Methods in Applied Mechanics and Engineering
  • Additive Manufacturing
  • arXiv (Cornell University)
  • npj Computational Materials
  • Computational Mechanics

This publication record reflects a concentrated effort within the engineering discipline, especially related to computational modeling, additive manufacturing, and materials processing technologies.

Best Publications

  • Mechanics of carbon nanotubes

    Dong Qian;Gregory J. Wagner;Wing Kam Liu;Min Feng Yu

  • Coupling of atomistic and continuum simulations using a bridging scale decomposition

    Gregory J. Wagner;Wing Kam Liu

  • Modified embedded atom method potential for Al, Si, Mg, Cu, and Fe alloys

    B. Jelinek;S. Groh;M. F. Horstemeyer;J. Houze

  • Multi-physics modeling of single/multiple-track defect mechanisms in electron beam selective melting

    Wentao Yan;Wentao Yan;Wenjun Ge;Ya Qian;Stephen Lin

  • Mesoscopic and multiscale modelling in materials

    Jacob Fish;Gregory J. Wagner;Sinan Keten

  • Linking process, structure, property, and performance for metal-based additive manufacturing: computational approaches with experimental support

    Jacob Smith;Wei Xiong;Wentao Yan;Stephen Lin

  • Data-driven multi-scale multi-physics models to derive process---structure---property relationships for additive manufacturing

    Wentao Yan;Stephen Lin;Orion L. Kafka;Yanping Lian

  • A multiscale projection method for the analysis of carbon nanotubes

    Dong Qian;Gregory J. Wagner;Wing Kam Liu

  • A molecular dynamics study of void growth and coalescence in single crystal nickel

    G. P. Potirniche;M. F. Horstemeyer;G. J. Wagner;P. M. Gullett

  • The extended finite element method for rigid particles in Stokes flow

    G.J. Wagner;Nicolas Moës;W. K. Liu;Ted Belytschko

  • A cellular automaton finite volume method for microstructure evolution during additive manufacturing

    Yanping Lian;Zhengtao Gan;Cheng Yu;Dmitriy Kats

  • Bridging Scale Methods for Nanomechanics and Materials

    Wing Kam Liu;Harold S. Park;Dong Qian;Eduard G. Karpov

  • A framework to link localized cooling and properties of directed energy deposition (DED)-processed Ti-6Al-4V

    Sarah J. Wolff;Stephen Lin;Eric J. Faierson;Wing Kam Liu

  • Meso-scale modeling of multiple-layer fabrication process in Selective Electron Beam Melting: Inter-layer/track voids formation

    Wentao Yan;Ya Qian;Wenjun Ge;Stephen Lin

  • A parallelized three-dimensional cellular automaton model for grain growth during additive manufacturing

    Yanping Lian;Stephen Lin;Wentao Yan;Wing Kam Liu

  • A surface Cauchy-Born model for nanoscale materials

    Harold S. Park;Patrick A. Klein;Gregory J. Wagner

  • Application of essential boundary conditions in mesh-free methods: a corrected collocation method

    Gregory J. Wagner;Wing Kam Liu

  • Realization of parametric resonances in a nanowire mechanical system with nanomanipulation inside a scanning electron microscope

    Min Feng Yu;Gregory J. Wagner;Rodney S. Ruoff;Mark J. Dyer

  • Benchmark Study of Thermal Behavior, Surface Topography, and Dendritic Microstructure in Selective Laser Melting of Inconel 625

    Zhengtao Gan;Yanping Lian;Stephen E. Lin;Kevontrez K. Jones

  • Resonance vibration of amorphous SiO2 nanowires driven by mechanical or electrical field excitation

    D. A. Dikin;X. Chen;W. Ding;G. Wagner

  • A Green's function approach to deriving non-reflecting boundary conditions in molecular dynamics simulations

    E. G. Karpov;Gregory J Wagner;Wing K Liu

  • Hierarchical enrichment for bridging scales and mesh-free boundary conditions

    Gregory J. Wagner;Wing Kam Liu

Frequent Co-Authors

Wing Kam Liu
Wing Kam Liu Northwestern University
Mark F. Horstemeyer
Mark F. Horstemeyer Liberty University
Jian Cao
Jian Cao Northwestern University
Michael I. Baskes
Michael I. Baskes University of North Texas
Rodney S. Ruoff
Rodney S. Ruoff Ulsan National Institute of Science and Technology
Xinqi Chen
Xinqi Chen Northwestern University
Min-Feng Yu
Min-Feng Yu Georgia Institute of Technology
Steven J. Plimpton
Steven J. Plimpton Sandia National Laboratories
Dmitriy A. Dikin
Dmitriy A. Dikin Temple University
Harold S. Park
Harold S. Park Boston University

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