World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
11707
World Ranking
6725
National Ranking
2968

Janet K. Allen publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Janet K. Allen sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 323 publications — 78th percentile

78% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Janet K. Allen D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Janet K. Allen sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2005 - Fellow of the American Society of Mechanical Engineers

Overview

Janet K. Allen is affiliated with the University of Oklahoma in the United States. Their research spans multiple fields, primarily focusing on Engineering and Computer Science. Within these main fields, their work particularly emphasizes Industrial and Manufacturing Engineering, Management of Technology and Innovation, Computational Theory and Mathematics, Management Science and Operations Research, and Mechanical Engineering.

Their research interests cover several topics, including:

  • Manufacturing Process and Optimization
  • Product Development and Customization
  • Advanced Multi-Objective Optimization Algorithms
  • Optimal Experimental Design Methods
  • Design Education and Practice
  • Probabilistic and Robust Engineering Design
  • Flexible and Reconfigurable Manufacturing Systems

Janet K. Allen has contributed to numerous scholarly publications. Some recent papers include:

  • Managing computational complexity using surrogate models: a critical review, 2020, Research in Engineering Design
  • Design Engineering in the Age of Industry 4.0, 2021, Journal of Mechanical Design
  • A rule-based method for automated surrogate model selection, 2020, Advanced Engineering Informatics
  • A process knowledge representation approach for decision support in design of complex engineered systems, 2021, Advanced Engineering Informatics
  • An Inverse, Decision-Based Design Method for Robust Concept Exploration, 2020, Journal of Mechanical Design

Frequent co-authors in their research include:

  • Farrokh Mistree
  • Zhenjun Ming
  • Guoxin Wang
  • Anand Balu Nellippallil
  • Jelena Milisavljevic-Syed

The venues where Janet K. Allen frequently publishes are:

  • Journal of Mechanical Design
  • Advanced Engineering Informatics
  • Research in Engineering Design
  • Journal of Computing and Information Science in Engineering
  • Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI

Janet K. Allen was recognized as a Fellow of the American Society of Mechanical Engineers in 2005.

Best Publications

  • Metamodels for Computer-Based Engineering Design: Survey and Recommendations

    Timothy W. Simpson;J. D. Poplinski;P. N. Koch;J. K. Allen

  • A procedure for robust design: Minimizing variations caused by noise factors and control factors

    Wei Chen;J. K. Allen;Kwok Leung Tsui;F. Mistree

  • Managing computational complexity using surrogate models: a critical review

    Reza Alizadeh;Janet K. Allen;Farrokh Mistree

  • Building Surrogate Models Based on Detailed and Approximate Simulations

    Zhiguang Qian;Carolyn Conner Seepersad;V. Roshan Joseph;C. F. Jeff Wu

  • A Variation-Based Methodology for Product Family Design

    Raviraj U. Nayak;Wei Chen;Timothy W. Simpson

  • Statistical Approximations for Multidisciplinary Design Optimization: The Problem of Size

    Patrick N. Koch;Timothy W. Simpson;Janet K. Allen;Farrokh Mistree

  • On the Use of Statistics in Design and the Implications for Deterministic Computer Experiments

    Timothy W. Simpson;Jesse D. Peplinski;Patrick N. Koch;Janet K. Allen

  • A CONCEPT EXPLORATION METHOD FOR DETERMINING ROBUST TOP-LEVEL SPECIFICATIONS

    Wei Chen;Janet K. Allen;Dimitri N. Mavris;Farrokh Mistree

  • A review of robust design methods for multiple responses

    Terrence E. Murphy;Kwok-Leung Tsui;Janet K. Allen

  • Robust Design for Multiscale and Multidisciplinary Applications

    Janet K. Allen;Carolyn Conner Seepersad;Hae Jin Choi;Farrokh Mistree

  • VALIDATING DESIGN METHODS & RESEARCH: THE VALIDATION SQUARE

    Kjartan Pedersen;Jan Emblemsvåg;Reid Bailey;Janet K. Allen

  • Integrated Design of Multiscale, Multifunctional Materials and Products

    David L. McDowell;Jitesh H. Panchal;Hae Jin Choi;Carolyn Conner Seepersad

  • Conceptual design of a family of products through the use of the robust concept exploration method

    Timothy W. Simpson;Janet K. Allen;Wei Chen;Farrokh Mistree

  • Collaborative multidisciplinary decision making using game theory and design capability indices

    Angran Xiao;Angran Xiao;Sai Zeng;Sai Zeng;Janet K. Allen;David W. Rosen

  • Design of multifunctional honeycomb materials

    Carolyn Conner Seepersad;Benjamin M. Dempsey;Janet K. Allen;Farrokh Mistree

  • Platform Design for Customizable Products as a Problem of Access in a Geometric Space

    Gabriel Hernandez;Janet K. Allen;Farrokh Mistree

  • An Inductive Design Exploration Method for Robust Multiscale Materials Design

    Haejin Choi;David L. McDowell;Janet K. Allen;David Rosen

  • The Validation Square: How Does One Verify and Validate a Design Method?

    Carolyn C. Seepersad;Kjartan Pedersen;Jan Emblemsvåg;Reid Bailey

  • Robust Design of Cellular Materials With Topological and Dimensional Imperfections

    Carolyn Conner Seepersad;Janet K. Allen;David L. McDowell;Farrokh Mistree

  • Robust Design of Families of Products With Production Modeling and Evaluation

    Gabriel Hernandez;Janet K. Allen;G. W. Woodruff;Timothy W. Simpson

  • A Robust Concept Exploration Method for Enhancing Productivity in Concurrent Systems Design

    Wei Chen;Janet K. Allen;Farrokh Mistree

Frequent Co-Authors

Farrokh Mistree
Farrokh Mistree University of Oklahoma
David W. Rosen
David W. Rosen Singapore University of Technology and Design
David L. McDowell
David L. McDowell Georgia Institute of Technology
Carolyn Conner Seepersad
Carolyn Conner Seepersad The University of Texas at Austin
Wei Chen
Wei Chen Northwestern University
Timothy W. Simpson
Timothy W. Simpson Pennsylvania State University
Christiaan J. J. Paredis
Christiaan J. J. Paredis Clemson University
Bert Bras
Bert Bras Georgia Institute of Technology
Kwok-Leung Tsui
Kwok-Leung Tsui Virginia Tech
John Whitfield
John Whitfield QIMR Berghofer Medical Research Institute

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