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D-Index & Metrics

Engineering and Technology

D-Index
43
Citations
9259
World Ranking
6054
National Ranking
1685

Achille Messac 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 Achille Messac sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 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: 118 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: 60 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: 197 publications — 47th percentile

47% of scientists in this discipline score the same or lower.

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

Achille Messac 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 Achille Messac sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 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: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 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: 95 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: 25 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: 43 D-Index — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2019 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2003 - Fellow of the American Society of Mechanical Engineers

Overview

Achille Messac is affiliated with Howard University in the United States. Their research focuses primarily on engineering and environmental science, with subfields including aerospace engineering, environmental engineering, and electrical and electronic engineering.

The main topics of Messac's work are centered around wind energy research and development, wind and air flow studies, and energy load and power forecasting.

  • Wind Energy Research and Development
  • Wind and Air Flow Studies
  • Energy Load and Power Forecasting

Messac's publication record includes work in the journal Wind Energy, reflecting interest and expertise in the domain of wind power technologies.

  • Wind Energy

One recent paper authored by Junqiang Zhang in collaboration with Messac is titled "Optimal selection of time windows for preventive maintenance of offshore wind farms subject to wake losses," published in 2023 in Wind Energy. This study addresses maintenance scheduling to improve the operability of offshore wind assets.

  • Optimal selection of time windows for preventive maintenance of offshore wind farms subject to wake losses (2023, Wind Energy)

Messac frequently collaborates with several researchers, among them Junqiang Zhang, Souma Chowdhury, Jie Zhang, and Weiyang Tong.

  • Junqiang Zhang
  • Souma Chowdhury
  • Jie Zhang
  • Weiyang Tong

Throughout their career, Messac has received recognition in the form of fellowships. They were named a Fellow of the American Association for the Advancement of Science (AAAS) in 2019 and a Fellow of the American Society of Mechanical Engineers in 2003.

Best Publications

  • The normalized normal constraint method for generating the Pareto frontier

    A. Messac;A. Ismail-Yahaya;C.A. Mattson

  • Physical programming - Effective optimization for computational design

    Achille Messac

  • Unrestricted wind farm layout optimization (UWFLO): Investigating key factors influencing the maximum power generation

    Souma Chowdhury;Jie Zhang;Achille Messac;Luciano Castillo

  • Normal Constraint Method with Guarantee of Even Representation of Complete Pareto Frontier

    Achille Messac;Christopher A. Mattson

  • Generating Well-Distributed Sets of Pareto Points for Engineering Design Using Physical Programming

    Achille Messac;Christopher A. Mattson

  • Pareto Frontier Based Concept Selection Under Uncertainty, with Visualization

    Christopher A. Mattson;Achille Messac

  • Optimizing the arrangement and the selection of turbines for wind farms subject to varying wind conditions

    Souma Chowdhury;Jie Zhang;Achille Messac;Luciano Castillo

  • Multiobjective robust design using physical programming

    A. Messac;A. Ismail-Yahaya

  • Extended Radial Basis Functions: More Flexible and Effective Metamodeling

    Anoop A. Mullur;Achille Messac

  • Effective Product Family Design Using Physical Programming

    Achille Messac;Michael P. Martinez;Timothy W. Simpson

  • Optimization in Practice with MATLAB®: For Engineering Students and Professionals

    Achille Messac

  • Smart Pareto filter: obtaining a minimal representation of multiobjective design space

    Christopher A. Mattson;Anoop A. Mullur;Achille Messac

  • Metamodeling using extended radial basis functions: a comparative approach

    A. Mullur;Achille Messac

  • Exploration of the effectiveness of physical programming in robust design

    Wei Chen;Atul Sahai;Achille Messac;Glynn J. Sundararaj

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

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

  • Concept Selection Using s-Pareto Frontiers

    Christopher A. Mattson;Achille Messac

  • INTRODUCTION OF A PRODUCT FAMILY PENALTY FUNCTION USING PHYSICAL PROGRAMMING

    Achille Messac;Michael P. Martinez;Timothy W. Simpson

  • Aggregate Objective Functions and Pareto Frontiers: Required Relationships and Practical Implications

    Achille Messac;Cyriaque Puemi-Sukam;Emanuel Melachrinoudis

  • An adaptive hybrid surrogate model

    Jie Zhang;Souma Chowdhury;Achille Messac

  • A mixed-discrete Particle Swarm Optimization algorithm with explicit diversity-preservation

    Souma Chowdhury;Weiyang Tong;Achille Messac;Jie Zhang

Frequent Co-Authors

Jie Zhang
Jie Zhang The University of Texas at Dallas
Luciano Castillo
Luciano Castillo Purdue University West Lafayette
Timothy W. Simpson
Timothy W. Simpson Pennsylvania State University
Kemper Lewis
Kemper Lewis University at Buffalo, State University of New York
Wei Chen
Wei Chen Northwestern University
John E. Renaud
John E. Renaud University of Notre Dame
Martin L. Yarmush
Martin L. Yarmush Rutgers, The State University of New Jersey
B. Wayne Bequette
B. Wayne Bequette Rensselaer Polytechnic Institute
Steven M. Cramer
Steven M. Cramer Rensselaer Polytechnic Institute
Bri-Mathias Hodge
Bri-Mathias Hodge University of Colorado Boulder

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