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D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
38
Citations
10416
World Ranking
2211
National Ranking
801

Kenneth E. Jansen 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 Kenneth E. Jansen 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: 228 publications — 54th percentile

54% of scientists in this discipline score the same or lower.

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

Kenneth E. Jansen 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 Kenneth E. Jansen 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: 38 D-Index — 36th percentile

36% of scientists in this discipline score the same or lower.

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

Overview

Kenneth E. Jansen is affiliated with the University of Colorado Boulder in the United States. Their research primarily focuses on engineering, with a particular emphasis on computational mechanics and aerospace engineering. Their work spans several interconnected subfields including statistical and nonlinear physics, environmental engineering, and computational theory and mathematics.

The scientist has contributed extensively to topics related to fluid dynamics and turbulent flows, model reduction and neural networks, fluid dynamics and vibration analysis, computational fluid dynamics and aerodynamics, wind and air flow studies, aerodynamics and fluid dynamics research, as well as advanced multi-objective optimization algorithms.

Frequent co-authors collaborating with Jansen include John A. Evans, Riccardo Balin, Alireza Doostan, Aviral Prakash, and John Farnsworth. These partnerships are reflected across a diverse and active publication record.

Prominent publication venues for Kenneth E. Jansen include:

  • arXiv (Cornell University)
  • Journal of Fluid Mechanics
  • AIAA Scitech 2020 Forum
  • AIAA Journal
  • AIAA Scitech 2021 Forum

Selected recent papers by Kenneth E. Jansen encompass a range of subjects and publication forums, illustrating their contributions to fluid mechanics and uncertainty quantification:

  • ON TRANSFER LEARNING OF NEURAL NETWORKS USING BI-FIDELITY DATA FOR UNCERTAINTY PROPAGATION, 2020, International Journal for Uncertainty Quantification
  • Direct numerical simulation of a turbulent boundary layer over a bump with strong pressure gradients, 2021, Journal of Fluid Mechanics
  • Wall-Modeled LES of Flow over a Gaussian Bump with Strong Pressure Gradients and Separation, 2020, AIAA AVIATION 2020 FORUM
  • Reynolds number dependency in supersonic spatially-developing turbulent boundary layers, 2020, AIAA Scitech 2020 Forum
  • Invariant data-driven subgrid stress modeling on anisotropic grids for large eddy simulation, 2024, Computer Methods in Applied Mechanics and Engineering

Best Publications

  • A generalized-α method for integrating the filtered Navier–Stokes equations with a stabilized finite element method

    Kenneth E. Jansen;Christian H. Whiting;Gregory M. Hulbert

  • Outflow boundary conditions for three-dimensional finite element modeling of blood flow and pressure in arteries

    Irene E. Vignon-Clementel;C. Alberto Figueroa;Kenneth E. Jansen;Charles A. Taylor

  • Large Eddy Simulation and the variational multiscale method

    Thomas J.R. Hughes;Luca Mazzei;Kenneth E. Jansen

  • Patient-Specific Modeling of Blood Flow and Pressure in Human Coronary Arteries

    H. J. Kim;Irene Vignon-Clementel;J. S. Coogan;C. A. Figueroa

  • A coupled momentum method for modeling blood flow in three-dimensional deformable arteries

    C. Alberto Figueroa;Irene E. Vignon-Clementel;Kenneth E. Jansen;Thomas J.R. Hughes

  • On coupling a lumped parameter heart model and a three-dimensional finite element aorta model.

    H. J. Kim;Irene E Vignon-Clementel;C. A. Figueroa;John F. LaDisa

  • Outflow boundary conditions for 3D simulations of non-periodic blood flow and pressure fields in deformable arteries

    Irene Vignon-Clementel;C. A. Figueroa;K. E. Jansen;C. A. Taylor

  • A stabilized finite element method for the incompressible Navier-Stokes equations using a hierarchical basis

    Christian H. Whiting;Kenneth E. Jansen

  • The ParaView Coprocessing Library: A scalable, general purpose in situ visualization library

    Nathan Fabian;Kenneth Moreland;David Thompson;Andrew C. Bauer

  • Efficient anisotropic adaptive discretization of the cardiovascular system

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

  • Large-eddy simulation on unstructured deforming meshes: towards reciprocating IC engines

    D.C. Haworth;K. Jansen

  • A stabilized finite element method for computing turbulence

    Kenneth E. Jansen

  • A better consistency for low-order stabilized finite element methods

    Kenneth E. Jansen;S. Scott Collis;Christian Whiting;Farzin Shaki

  • Computation of incompressible bubble dynamics with a stabilized finite element level set method

    Sunitha Nagrath;Kenneth E. Jansen;Richard T. Lahey

  • Augmented Lagrangian method for constraining the shape of velocity profiles at outlet boundaries for three-dimensional finite element simulations of blood flow

    H. J. Kim;C. A. Figueroa;Thomas J Hughes;K. E. Jansen

  • Hydrodynamic simulation of air bubble implosion using a level set approach

    Sunitha Nagrath;Kenneth Jansen;Richard T. Lahey;Iskander Akhatov

  • Detached direct numerical simulations of turbulent two-phase bubbly channel flow

    Igor A. Bolotnov;Kenneth E. Jansen;Donald A. Drew;Assad A. Oberai

  • Adaptive boundary layer meshing for viscous flow simulations

    Onkar Sahni;Kenneth E. Jansen;Mark S. Shephard;Charles A. Taylor

  • A dynamic multi-scale approach for turbulent inflow boundary conditions in spatially developing flows

    Guillermo Araya;Luciano Castillo;Charles Meneveau;Kenneth Jansen

  • Developing computational methods for three-dimensional finite element simulations of coronary blood flow

    H. J. Kim;I. E. Vignon-Clementel;C. A. Figueroa;K. E. Jansen

  • Anisotropic adaptive finite element method for modelling blood flow.

    J. Müller;O. Sahni;X. Li;K. E. Jansen

Frequent Co-Authors

Mark S. Shephard
Mark S. Shephard Rensselaer Polytechnic Institute
Michael Amitay
Michael Amitay Rensselaer Polytechnic Institute
Richard T. Lahey
Richard T. Lahey Rensselaer Polytechnic Institute
Thomas J. R. Hughes
Thomas J. R. Hughes The University of Texas at Austin
Philippe R. Spalart
Philippe R. Spalart Boeing (United States)
Joseph E. Flaherty
Joseph E. Flaherty Rensselaer Polytechnic Institute
Charles Meneveau
Charles Meneveau Johns Hopkins University
Daniel C. Haworth
Daniel C. Haworth Pennsylvania State University
John T. Wen
John T. Wen Rensselaer Polytechnic Institute
Ronald J. Adrian
Ronald J. Adrian Arizona State University

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