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D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
57
Citations
12914
World Ranking
794
National Ranking
340

Mark S. Shephard 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 Mark S. Shephard 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: 348 publications — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Mark S. Shephard 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 Mark S. Shephard 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: 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

  • 2011 - John von Neumann Medal, U.S. Association for Computational Mechanics (USACM) For pioneering research on technologies for reliable simulation automation and parallel adaptive methods
  • 1999 - Fellow of the American Society of Mechanical Engineers
  • 1997 - THE J. TINSLEY ODEN MEDAL

Overview

Mark S. Shephard is affiliated with Rensselaer Polytechnic Institute in the United States. Their research primarily spans the fields of Engineering and Computer Science, with a focus on several specialized subfields including Nuclear and High Energy Physics, Computational Mechanics, Computer Networks and Communications, Biomedical Engineering, and Aerospace Engineering.

Their work addresses multiple topics, notably Magnetic confinement fusion research, Advanced Data Storage Technologies, Parallel Computing and Optimization Techniques, Advanced Numerical Methods in Computational Mathematics, Ionosphere and magnetosphere dynamics, Superconducting Materials and Applications, and Distributed and Parallel Computing Systems.

Several recent papers authored by or involving Mark S. Shephard demonstrate a range of research interests and publication venues. These include:

  • Efficient exascale discretizations: High-order finite element methods, 2021, The International Journal of High Performance Computing Applications
  • The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science, 2021, The International Journal of High Performance Computing Applications
  • PUMIPic: A mesh-based approach to unstructured mesh Particle-In-Cell on GPUs, 2021, Journal of Parallel and Distributed Computing
  • Ammonia emission estimates using CrIS satellite observations over Europe, 2024, Atmospheric chemistry and physics
  • A parallel interface tracking approach for evolving geometry problems, 2021, Engineering With Computers

Mark S. Shephard has collaborated frequently with several co-authors, including Cameron Smith, Jacob Merson, Tzanio Kolev, Misun Min, and Jed Brown, reflecting a collaborative approach across different research projects.

Their research has been published in venues including Zenodo (CERN European Organization for Nuclear Research), Computer Physics Communications, arXiv (Cornell University), Engineering With Computers, and The International Journal of High Performance Computing Applications.

Awards recognizing Mark S. Shephard's contributions to computational mechanics and engineering include the John von Neumann Medal from the U.S. Association for Computational Mechanics (USACM) in 2011 for work on simulation automation and parallel adaptive methods, a Fellowship from the American Society of Mechanical Engineers in 1999, and the J. Tinsley Oden Medal awarded in 1997.

Best Publications

  • Automatic three‐dimensional mesh generation by the finite octree technique

    Mark A. Yerry;Mark S. Shephard

  • Computational plasticity for composite structures based on mathematical homogenization: Theory and practice

    Jacob Fish;Kamlun Shek;Muralidharan Pandheeradi;Mark S. Shephard

  • A Modified Quadtree Approach To Finite Element Mesh Generation

    Mark A. Yerry;Mark S. Shephard

  • Automatic three-dimensional mesh generation by the finite octree technique

    Unknown

  • Robust, geometrically based, automatic two‐dimensional mesh generation

    Peggy L. Baehmann;Scott L. Wittchen;Mark S. Shephard;Kurt R. Grice

  • Adaptive Local Refinement with Octree Load Balancing for the Parallel Solution of Three-Dimensional Conservation Laws

    J.E. Flaherty;R.M. Loy;M.S. Shephard;B.K. Szymanski

  • An Adaptive Discontinuous Galerkin Technique with an Orthogonal Basis Applied to Compressible Flow Problems

    Jean-François Remacle;Joseph E. Flaherty;Mark S. Shephard

  • A general two‐dimensional, graphical finite element preprocessor utilizing discrete transfinite mappings

    Robert Haber;Mark S. Shephard;John F. Abel;Richard H. Gallagher

  • 3D anisotropic mesh adaptation by mesh modification

    Xiangrong Li;Mark S. Shephard;Mark W. Beall

  • A combined octree/delaunay method for fully automatic 3‐D mesh generation

    W. J. Schroeder;M. S. Shephard

  • Efficient anisotropic adaptive discretization of the cardiovascular system

    O. Sahni;J. Müller;K.E. Jansen;M.S. Shephard

  • Approaches to the Automatic Generation and Control of Finite Element Meshes

    Mark S. Shephard

  • Geometry-based fully automatic mesh generation and the delaunay triangulation

    W. J. Schroeder;M. S. Shephard

  • Concurrent AtC coupling based on a blend of the continuum stress and the atomistic force

    Jacob Fish;Mohan A. Nuggehally;Mark S. Shephard;Catalin R. Picu

  • Toward simulation-based design

    Mark S. Shephard;Mark W. Beall;Robert M. O'Bara;Bruce E. Webster

  • Boundary layer mesh generation for viscous flow simulations

    Rao V. Garimella;Mark S. Shephard

  • A stabilized mixed finite element method for finite elasticity.: Formulation for linear displacement and pressure interpolation

    Ottmar Klaas;Antoinette Maniatty;Mark S. Shephard

  • Anisotropic adaptive simulation of transient flows using discontinuous Galerkin methods

    Jean‐François Remacle;Xiangrong Li;Mark S. Shephard;Joseph E. Flaherty

  • Permeability calculations in three-dimensional isotropic and oriented fiber networks

    Triantafyllos Stylianopoulos;Andrew Yeckel;Jeffrey J. Derby;Xiao Juan Luo

  • Parallel structures and dynamic load balancing for adaptive finite element computation

    J. E. Flaherty;R. M. Loy;C. Özturan;M. S. Shephard

  • Automatic p-version mesh generation for curved domains

    Xiao-Juan Luo;Mark S. Shephard;Robert M. O’Bara;Rocco Nastasia

  • Load balancing for the parallel adaptive solution of partial differential equations

    H. L. deCougny;K. D. Devine;J. E. Flaherty;R. M. Loy

Frequent Co-Authors

Joseph E. Flaherty
Joseph E. Flaherty Rensselaer Polytechnic Institute
Kenneth E. Jansen
Kenneth E. Jansen University of Colorado Boulder
Jacob Fish
Jacob Fish Columbia University
Victor H. Barocas
Victor H. Barocas University of Minnesota
Jean-François Remacle
Jean-François Remacle Université Catholique de Louvain
Carlo L. Bottasso
Carlo L. Bottasso Technical University of Munich
Boleslaw K. Szymanski
Boleslaw K. Szymanski Rensselaer Polytechnic Institute
George J. Dvorak
George J. Dvorak Rensselaer Polytechnic Institute
Tarek Abdoun
Tarek Abdoun Rensselaer Polytechnic Institute
Wei Ji
Wei Ji Renmin University of China

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