World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
32
Citations
4810
World Ranking
3132
National Ranking
1063

Mark Glauser 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 Glauser 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: 337 publications — 79th percentile

79% of scientists in this discipline score the same or lower.

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

Mark Glauser 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 Glauser 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: 32 D-Index — 10th percentile

10% 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

  • 2002 - Fellow of the American Society of Mechanical Engineers

Best Publications

  • The proper orthogonal decomposition of pressure fluctuations surrounding a turbulent jet

    Roger E.A. Arndt;D.F. Long;M.N Glauser

  • Stochastic estimation and proper orthogonal decomposition: complementary techniques for identifying structure

    J. P. Bonnet;D. R. Cole;J. Delville;M. N. Glauser

  • Examination of large-scale structures in a turbulent plane mixing layer. Part 1. Proper orthogonal decomposition

    J. Delville;L. Ukeiley;L. Ukeiley;L. Cordier;J. P. Bonnet

  • Coherent Structures in the Axisymmetric Turbulent Jet Mixing Layer

    Mark N. Glauser;Stewart J. Leib;William K. George

  • Towards Practical Flow Sensing and Control via POD and LSE Based Low-Dimensional Tools

    Unknown

  • Collaborative testing of eddy structure identification methods in free turbulent shear flows

    J. P. Bonnet;J. Delville;M. N. Glauser;R. A. Antonia

  • On spectral linear stochastic estimation

    C. E. Tinney;F. Coiffet;J. Delville;A. M. Hall

  • Computational modeling of effects of thermal plume adjacent to the body on the indoor airflow and particle transport

    M. Salmanzadeh;M. Salmanzadeh;Gh. Zahedi;G. Ahmadi;D.R. Marr

  • Proportional Closed-Loop Feedback Control of Flow Separation

    Unknown

  • Examination of large-scale structures in a turbulent plane mixing layer. Part 2. Dynamical systems model

    L. Ukeiley;L. Cordier;Remi Manceau;J. Delville

  • Low-dimensional characteristics of a transonic jet. Part 2. Estimate and far-field prediction

    C. E. Tinney;L. S. Ukeiley;M. N. Glauser

  • Orthogonal Decomposition of the Axisymmetric Jet Mixing Layer Including Azimuthal Dependence

    M. N. Glauser;W. K. George

  • Low-dimensional characteristics of a transonic jet. Part 1. Proper orthogonal decomposition

    Charles E Tinney;M. N. Glauser;L. S. Ukeiley

  • An application of the stochastic estimation to the jet mixing layer

    Daniel R. Cole;Mark N. Glauser;Yann G. Guezennec

  • Low-Dimensional Approach for Reconstruction of Airfoil Data via Compressive Sensing

    Zhe Bai;Thakshila Wimalajeewa;Zachary Berger;Guannan Wang

  • Application of multipoint measurements for flow characterization

    Mark N. Glauser;William K. George

  • Eddy Structure Identification in Free Turbulent Shear Flows

    Unknown

  • Feedback Control of Separated Flows

    Unknown

  • Application of POD on time-resolved schlieren in supersonic multi-stream rectangular jets

    Unknown

  • Whither turbulence and big data in the 21st century

    Unknown

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring fbi profiler salary opportunities reveals the significant value of specialized education in related fields. While Mechanical and Aerospace Engineering provide strong technical and analytical foundations, students may also consider interdisciplinary careers that combine engineering principles with behavioral sciences.

For those interested in helping professions or human behavior, pursuing different types of counseling degrees can complement an engineering background, especially in organizational or rehabilitation settings. Understanding degrees in counseling helps students identify the right pathways aligned with their career goals.

When choosing an educational program, it's important to evaluate options like accredited easiest counseling degree programs, which offer flexible, streamlined paths without compromising quality. These programs can be ideal for engineers looking to expand their skills efficiently.

Additionally, accelerated graduate programs such as the accelerated bcba program online provide fast-tracked routes for specialization. Combining such credentials with an engineering degree can open unique career pathways in tech-driven human factors and behavior analysis.

Recently Published Articles