World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
41
Citations
7827
World Ranking
6886
National Ranking
1880

John E. Renaud publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where John E. Renaud sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 134 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 117 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 59 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 163 publications — 33rd percentile

33% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

John E. Renaud D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where John E. Renaud sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 128 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 349 scientists 41 D-Index: 362 scientists 42 D-Index: 425 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 94 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 24 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 41 D-Index — 31st percentile

31% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

John E. Renaud was affiliated with the University of Notre Dame in the United States. Their research spanned multiple fields, primarily focusing on engineering and medicine. Within these broader areas, their work addressed specialized subfields including mechanical engineering, pulmonary and respiratory medicine, and biomedical engineering.

The main topics of their research included cellular and composite structures, automotive and human injury biomechanics, and advanced theoretical and applied studies in material sciences and geometry. These topics reflected a multidisciplinary approach combining material sciences with biomechanics and medical engineering aspects.

Their publication record includes contributions to the following venues:

  • SAE technical papers on CD-ROM/SAE technical paper series

Among their documented publications, the recent paper titled SIMULTANEOUS TOPOGRAPHY OPTIMIZATION OF A VEHICLE HULL AND TOPOLOGY OPTIMIZATION OF THE ASSEMBLY INTERFACE FOR BLAST MITIGATION appeared in 2024 within the SAE technical paper series.

Frequent coauthors who collaborated with John E. Renaud included:

  • Huade Tan
  • J. A. Goetz
  • Andrés Tovar

Their body of work showed an integration of engineering principles with biomedical applications, likely contributing to advancements in both mechanical design for safety and health-related technologies. The combination of research topics such as cellular structures and automotive biomechanics suggests a focus on how materials and human body responses interact under various conditions.

Best Publications

  • Mechanical behavior of acrylonitrile butadiene styrene (ABS) fused deposition materials. Experimental investigation

    José F. Rodríguez;James P. Thomas;John E. Renaud

  • Uncertainty quantification using evidence theory in multidisciplinary design optimization

    Harish Agarwal;John E. Renaud;Evan L. Preston;Dhanesh Padmanabhan

  • Mechanical behavior of acrylonitrile butadiene styrene fused deposition materials modeling

    José F. Rodríguez;James P. Thomas;John E. Renaud

  • Characterization of the mesostructure of fused-deposition acrylonitrile-butadiene-styrene materials

    Jose F. Rodriguez;James P. Thomas;John E. Renaud

  • Multiobjective Collaborative Optimization

    Ravindra V. Tappeta;John E. Renaud

  • Response surface based, concurrent subspace optimization for multidisciplinary system design

    R. Sellar;S. Batill;J. Renaud

  • Automatic Differentiation in Robust Optimization

    J. Su;J. E. Renaud

  • Crashworthiness Design Using Topology Optimization

    Neal M. Patel;Byung-Soo Kang;John E. Renaud;Andrés Tovar

  • Trust Region Augmented Lagrangian Methods for Sequential Response Surface Approximation and Optimization

    José F. Rodríguez;John E. Renaud;Layne T. Watson

  • Update strategies for kriging models used in variable fidelity optimization

    Shawn E. Gano;John E. Renaud;Jay D. Martin;Timothy W. Simpson

  • Worst case propagated uncertainty of multidisciplinary systems in robust design optimization

    X. Gu;J. E. Renaud;S. M. Batill;R. M. Brach

  • Topology Optimization Using a Hybrid Cellular Automaton Method With Local Control Rules

    Andrés Tovar;Neal M. Patel;Glen L. Niebur;Mihir Sen

  • Ability of Objective Functions to Generate Points on Nonconvex Pareto Frontiers

    Achille Messac;Glynn J. Sundararaj;Ravindra V. Tappeta;John E. Renaud

  • Concurrent Subspace Optimization Using Design Variable Sharing in a Distributed Computing Environment

    Brett A. Wujek;John E. Renaud;Stephen M. Batill;Jay B. Brockman

  • Design of Fused-Deposition ABS Components for Stiffness and Strength

    José F. Rodrı́guez;James P. Thomas;John E. Renaud

  • Hybrid Variable Fidelity Optimization by Using a Kriging-Based Scaling Function

    Shawn E. Gano;John E. Renaud;Brian Sanders

  • Improved coordination in nonhierarchic system optimization

    J. E. Renaud;G. A. Gabriele

  • Decision-Based Collaborative Optimization

    Xiaoyu Gu;John E. Renaud;Leah M. Ashe;Stephen M. Batill

  • Approximation in nonhierarchic system optimization

    J. E. Renaud;G. A. Gabriele

  • Sequential approximate optimization using variable fidelity response surface approximations

    J. F. Rodríguez;V. M. Pérez;D. Padmanabhan;J. E. Renaud

  • New Adaptive Move-Limit Management Strategy for Approximate Optimization, Part 2

    B. A. Wujek;J. E. Renaud

Frequent Co-Authors

Layne T. Watson
Layne T. Watson Virginia Tech
Glen L. Niebur
Glen L. Niebur University of Notre Dame
Achille Messac
Achille Messac Howard University
Kazuhiro Izui
Kazuhiro Izui Kyoto University
Timothy W. Simpson
Timothy W. Simpson Pennsylvania State University
Mihir Sen
Mihir Sen University of Notre Dame
Shinji Nishiwaki
Shinji Nishiwaki Kyoto University
Eric J. Jumper
Eric J. Jumper University of Notre Dame

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