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D-Index & Metrics

Computer Science

D-Index
78
Citations
26922
World Ranking
1195
National Ranking
634

Michael D. Ernst 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 Michael D. Ernst 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: 229 publications — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Michael D. Ernst 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 Michael D. Ernst 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: 78 D-Index — 92nd percentile

92% 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

  • 2014 - ACM Fellow For contributions to software analysis, testing, and verification.

Overview

Michael D. Ernst is affiliated with the University of Washington in the United States. Their research activity focuses extensively on computer science, particularly within the fields of software, information systems, and computer networks and communications.

The scientist has contributed to several main topics in computer science research, including:

  • Software Testing and Debugging Techniques
  • Software Engineering Research
  • Software System Performance and Reliability
  • Software Reliability and Analysis Research
  • Parallel Computing and Optimization Techniques
  • Formal Methods in Verification
  • Advanced Malware Detection Techniques

Michael D. Ernst's recent publications showcase a range of work across software engineering and system analysis. Selected papers include:

  • Visualizing Distributed System Executions, 2020, ACM Transactions on Software Engineering and Methodology
  • MeMo: Automatically identifying metamorphic relations in Javadoc comments for test automation, 2021, Journal of Systems and Software
  • Removing biased data to improve fairness and accuracy, 2021, arXiv (Cornell University)
  • MeMo: Automatically Identifying Metamorphic Relations in Javadoc Comments for Test Automation, 2021, Zenodo (CERN European Organization for Nuclear Research)
  • DesCert: Design for Certification, 2022, arXiv (Cornell University)

The frequent co-authors with whom Michael D. Ernst has collaborated include:

  • Martin Kellogg
  • Manu Sridharan
  • Narges Shadab
  • Pritam Gharat
  • Shuvendu K. Lahiri

The most common venues where Michael D. Ernst publishes are:

  • Zenodo (CERN European Organization for Nuclear Research)
  • arXiv (Cornell University)
  • ACM Transactions on Software Engineering and Methodology
  • OPAL (Open@LaTrobe) (La Trobe University)
  • Journal of Systems and Software

Michael D. Ernst's contributions to the field have been recognized with the ACM Fellow award in 2014, citing their work in software analysis, testing, and verification.

Best Publications

  • Dynamically Discovering Likely Program Invariants to Support Program Evolution

    Michael D. Ernst;Jake Cockrell;William G. Griswold;David Notkin

  • The Daikon system for dynamic detection of likely invariants

    Michael D. Ernst;Jeff H. Perkins;Philip J. Guo;Stephen McCamant

  • Defects4J: a database of existing faults to enable controlled testing studies for Java programs

    René Just;Darioush Jalali;Michael D. Ernst

  • HaLoop: efficient iterative data processing on large clusters

    Yingyi Bu;Bill Howe;Magdalena Balazinska;Michael D. Ernst

  • An overview of JML tools and applications

    Lilian Burdy;Yoonsik Cheon;David Cok;Michael D. Ernst

  • Feedback-Directed Random Test Generation

    Carlos Pacheco;Shuvendu K. Lahiri;Michael D. Ernst;Thomas Ball

  • An overview of JML tools and applications

    Lilian Burdy;Yoonsik Cheon;David R. Cok;Michael D. Ernst

  • Are mutants a valid substitute for real faults in software testing

    René Just;Darioush Jalali;Laura Inozemtseva;Michael D. Ernst

  • Randoop: feedback-directed random testing for Java

    Carlos Pacheco;Michael D. Ernst

  • Automatic creation of SQL Injection and cross-site scripting attacks

    Adam Kieyzun;Philip J. Guo;Karthick Jayaraman;Michael D. Ernst

  • Automatically patching errors in deployed software

    Jeff H. Perkins;Sunghun Kim;Sam Larsen;Saman Amarasinghe

  • Static and dynamic analysis: synergy and duality

    Michael D. Ernst

  • Evaluating and improving fault localization

    Spencer Pearson;Jose Campos;Rene Just;Gordon Fraser

  • Verdi: a framework for implementing and formally verifying distributed systems

    James R. Wilcox;Doug Woos;Pavel Panchekha;Zachary Tatlock

  • Eclat: automatic generation and classification of test inputs

    Carlos Pacheco;Michael D. Ernst

  • HAMPI: a solver for string constraints

    Adam Kiezun;Vijay Ganesh;Philip J. Guo;Pieter Hooimeijer

  • Quickly detecting relevant program invariants

    Michael D. Ernst;Adam Czeisler;William G. Griswold;David Notkin

  • An empirical analysis of c preprocessor use

    M.D. Ernst;G.J. Badros;D. Notkin

  • Proactive detection of collaboration conflicts

    Yuriy Brun;Reid Holmes;Michael D. Ernst;David Notkin

  • Leveraging existing instrumentation to automatically infer invariant-constrained models

    Ivan Beschastnikh;Yuriy Brun;Sigurd Schneider;Michael Sloan

  • Automated support for program refactoring using invariants

    Y. Kataoka;M.D. Ernst;W.G. Griswold;D. Notkin

Frequent Co-Authors

Yuriy Brun
Yuriy Brun University of Massachusetts Amherst
David Notkin
David Notkin University of Washington
Ivan Beschastnikh
Ivan Beschastnikh University of British Columbia
Philip J. Guo
Philip J. Guo University of California, San Diego
Reid Holmes
Reid Holmes University of British Columbia
Thomas Anderson
Thomas Anderson University of Washington
Sunghun Kim
Sunghun Kim Hong Kong University of Science and Technology
Dan Grossman
Dan Grossman University of Washington
Arvind Krishnamurthy
Arvind Krishnamurthy University of Washington

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