World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
82
Citations
40968
World Ranking
933
National Ranking
509

Stephanie Forrest 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 Stephanie Forrest 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: 231 publications — 57th percentile

57% of scientists in this discipline score the same or lower.

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

Stephanie Forrest 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 Stephanie Forrest 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: 82 D-Index — 94th percentile

94% 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

  • 2011 - ACM AAAI Allen Newell Award For fundamental, paradigm-changing contributions to computer science and biological sciences, most notably bringing together models of immune systems, automated diversity, and network epidemiology, with significant impact on real computer and biological systems research and practice.

Overview

Stephanie Forrest is affiliated with Arizona State University in the United States. Their research primarily centers on computer science, with a strong focus on artificial intelligence, software, information systems, molecular biology, and computer vision and pattern recognition. Forrest's work spans multiple interconnected subfields, contributing to various areas within computer science.

The main topics within Forrest's body of research include:

  • Software Testing and Debugging Techniques
  • Software Engineering Research
  • Evolutionary Algorithms and Applications
  • Advanced Malware Detection Techniques
  • Advanced Neural Network Applications
  • Security and Verification in Computing
  • Software Reliability and Analysis Research

Frequent coauthors of Forrest include:

  • Westley Weimer (12 collaborations)
  • Adam Doupé (6 collaborations)
  • Kirtus G. Leyba (5 collaborations)
  • Jhe-Yu Liou (5 collaborations)
  • Carole-Jean Wu (5 collaborations)

Their research has been published in a variety of venues, with notable publications in:

  • arXiv (Cornell University), 8 papers
  • Proceedings of the National Academy of Sciences, 3 papers
  • Nature Machine Intelligence, 2 papers
  • IEEE Transactions on Dependable and Secure Computing, 2 papers
  • ACM Transactions on Evolutionary Learning and Optimization, 2 papers

Some representative recent papers authored or coauthored by Forrest include:

  • "The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities," published in 2020 in Artificial Life
  • "A biological perspective on evolutionary computation," published in 2021 in Nature Machine Intelligence
  • "Wastewater Monitoring Raises Privacy and Ethical Considerations," published in 2021 in IEEE Transactions on Technology and Society
  • "Spatially distributed infection increases viral load in a computational model of SARS-CoV-2 lung infection," published in 2021 in PLoS Computational Biology
  • "GEVO," published in 2020 in ACM Transactions on Architecture and Code Optimization

Forrest has been recognized with the ACM AAAI Allen Newell Award in 2011. The award citation notes contributions bridging computer science and biological sciences, specifically highlighting models of immune systems, automated diversity, and network epidemiology, as well as their impact on systems research and practice.

Best Publications

  • Self-Nonself Discrimination in a Computer

    Stephanie Forrest;Alan S. Perelson;Lawrence Allen;Rajesh Cherukuri

  • A Sense of Self for Unix Processes

    Stephanie Forrest;Steven A. Hofmeyr;Anil Somayaji;Thomas A. Longstaff

  • Intrusion detection using sequences of system calls

    Steven A. Hofmeyr;Stephanie Forrest;Anil Somayaji

  • Detecting intrusions using system calls: alternative data models

    C. Warrender;S. Forrest;B. Pearlmutter

  • Genetic algorithms: principles of natural selection applied to computation

    Stephanie Forrest

  • Fitness Distance Correlation as a Measure of Problem Difficulty for Genetic Algorithms

    Terry Jones;Stephanie Forrest

  • Computer immunology

    Stephanie Forrest;Steven A. Hofmeyr;Anil Somayaji

  • GenProg: A Generic Method for Automatic Software Repair

    C. Le Goues;ThanhVu Nguyen;S. Forrest;W. Weimer

  • Architecture for an Artificial Immune System

    Steven A. Hofmeyr;Stephanie A. Forrest

  • Email networks and the spread of computer viruses.

    M. E. J. Newman;Stephanie Forrest;Stephanie Forrest;Justin Balthrop

  • Automatically finding patches using genetic programming

    Westley Weimer;ThanhVu Nguyen;Claire Le Goues;Stephanie Forrest

  • The royal road for genetic algorithms: Fitness landscapes and GA performance

    Melanie Mitchell;Stephanie Forrest;John H. Holland

  • Building diverse computer systems

    S. Forrest;A. Somayaji;D.H. Ackley

  • An immunological approach to change detection: algorithms, analysis and implications

    Patrik D'haeseleer;Stephanie Forrest;Paul Helman

  • A systematic study of automated program repair: fixing 55 out of 105 bugs for $8 each

    Claire Le Goues;Michael Dewey-Vogt;Stephanie Forrest;Westley Weimer

  • Relative Building-Block Fitness and the Building-Block Hypothesis

    Stephanie Forrest;Melanie Mitchell

  • Randomized instruction set emulation to disrupt binary code injection attacks

    Elena Gabriela Barrantes;David H. Ackley;Stephanie Forrest;Trek S. Palmer

  • Principles of a computer immune system

    Anil Somayaji;Steven Hofmeyr;Stephanie Forrest

  • When will a Genetic Algorithm Outperform Hill Climbing

    Melanie Mitchell;John H. Holland;Stephanie Forrest

  • An immunological model of distributed detection and its application to computer security

    Stephanie Forrest;Steven Andrew Hofmeyr

  • Genetic algorithms

    Stephanie Forrest

Frequent Co-Authors

Westley Weimer
Westley Weimer University of Michigan–Ann Arbor
Alan S. Perelson
Alan S. Perelson Los Alamos National Laboratory
Claire Le Goues
Claire Le Goues Carnegie Mellon University
Melanie Mitchell
Melanie Mitchell Santa Fe Institute
Derek J. Smith
Derek J. Smith University of Cambridge
Deepak Kapur
Deepak Kapur University of New Mexico
Tyler Moore
Tyler Moore University of Tulsa
Jack W. Davidson
Jack W. Davidson University of Virginia
Miles P. Davenport
Miles P. Davenport University of New South Wales
Jennifer Rexford
Jennifer Rexford Princeton University

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Related Online Degrees & Career Pathways

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