World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
59
Citations
13889
World Ranking
3424
National Ranking
1657

Mary Lou Soffa 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 Mary Lou Soffa 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: 240 publications — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Mary Lou Soffa 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 Mary Lou Soffa 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: 59 D-Index — 77th percentile

77% 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

  • 2013 - IEEE Fellow For contributions to improved efficiency and robustness of software
  • 2012 - ACM - IEEE CS Ken Kennedy Award For contributions to compiler technology and software engineering, exemplary service to the profession, and life-long dedication to mentoring and improving diversity in computing.
  • 1999 - ACM Fellow For the development and enhancement of code improving transformations and the efficient design of program analysis algorithms for use in compilers and software engineering tools.

Overview

Mary Lou Soffa is affiliated with the University of Virginia in the United States. Their research primarily spans the field of Computer Science, with a focus on software and artificial intelligence subfields.

The scientist's main topics of work include:

  • Software Testing and Debugging Techniques
  • Adversarial Robustness in Machine Learning
  • Explainable Artificial Intelligence (XAI)
  • Formal Methods in Verification
  • Model-Driven Software Engineering Techniques

Mary Lou Soffa's recent papers are:

  • "Input Distribution Coverage: Measuring Feature Interaction Adequacy in Neural Network Testing," 2022, published in ACM Transactions on Software Engineering and Methodology
  • "A Language for Autonomous Vehicles Testing Oracles," 2020, published in arXiv (Cornell University)

The frequent publication venues for Soffa's work include:

  • ACM Transactions on Software Engineering and Methodology
  • arXiv (Cornell University)

Mary Lou Soffa has collaborated often with researchers such as:

  • Swaroopa Dola
  • Matthew B. Dwyer
  • Ana Nora Evans
  • Sebastian Elbaum

The scientist has received several awards, including:

  • IEEE Fellow (2013) for contributions to improved efficiency and robustness of software
  • ACM - IEEE CS Ken Kennedy Award (2012) for contributions to compiler technology and software engineering, service to the profession, and mentoring
  • ACM Fellow (1999) for development and enhancement of code improving transformations and efficient design of program analysis algorithms for compilers and software engineering tools

Best Publications

  • A methodology for controlling the size of a test suite

    M. Jean Harrold;Rajiv Gupta;Mary Lou Soffa

  • Bubble-Up: increasing utilization in modern warehouse scale computers via sensible co-locations

    Jason Mars;Lingjia Tang;Robert Hundt;Kevin Skadron

  • Black-Box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers

    Ji Gao;Jack Lanchantin;Mary Lou Soffa;Yanjun Qi

  • TimeAware test suite prioritization

    Kristen R. Walcott;Mary Lou Soffa;Gregory M. Kapfhammer;Robert S. Roos

  • Hierarchical GUI test case generation using automated planning

    A.M. Memon;M.E. Pollack;M.L. Soffa

  • Coverage criteria for GUI testing

    Atif M. Memon;Mary Lou Soffa;Martha E. Pollack

  • An approach to regression testing using slicing

    R. Gupta;M.J. Harrold;M.L. Soffa

  • The impact of memory subsystem resource sharing on datacenter applications

    Lingjia Tang;Jason Mars;Neil Vachharajani;Robert Hundt

  • Automated test data generation using an iterative relaxation method

    Neelam Gupta;Aditya P. Mathur;Mary Lou Soffa

  • Regression testing of GUIs

    Atif M. Memon;Mary Lou Soffa

  • A comprehensive framework for testing graphical user interfaces

    Mary Lou Soffa;Atif Muhammed Memon

  • Retargetable and reconfigurable software dynamic translation

    K. Scott;N. Kumar;S. Velusamy;B. Childers

  • Automated test oracles for GUIs

    Atif M. Memon;Martha E. Pollack;Mary Lou Soffa

  • Interprocedual data flow testing

    Mary Jean Harrold;Mary Lou Soffa

  • Clairvoyant: a comprehensive source-level debugger for wireless sensor networks

    Jing Yang;Mary Lou Soffa;Leo Selavo;Kamin Whitehouse

  • Efficient computation of interprocedural definition-use chains

    Mary Jean Harrold;Mary Lou Soffa

  • An incremental approach to unit testing during maintenance

    M.J. Harrold;M.L. Souffa

  • Using component metacontent to support the regression testing of component-based software

    A. Orso;M.J. Harrold;D. Rosenblum;G. Rothermel

  • Generating test data for branch coverage

    N. Gupta;A.P. Mathur;M.L. Soffa

  • An approach for exploring code improving transformations

    Deborah L. Whitfield;Mary Lou Soffa

  • Proceedings of the 28th international conference on Software engineering

    Leon J. Osterweil;Dieter Rombach;Mary Lou Soffa

Frequent Co-Authors

Rajiv Gupta
Rajiv Gupta University of California, Riverside
Bruce R. Childers
Bruce R. Childers University of Pittsburgh
Jack W. Davidson
Jack W. Davidson University of Virginia
Jason Mars
Jason Mars University of Michigan–Ann Arbor
Lori Pollock
Lori Pollock University of Delaware
Atif M. Memon
Atif M. Memon University of Maryland, College Park
Lingjia Tang
Lingjia Tang University of Michigan–Ann Arbor
Martha E. Pollack
Martha E. Pollack Cornell University
Rastislav Bodik
Rastislav Bodik University of Washington
Shi-Kuo Chang
Shi-Kuo Chang University of Pittsburgh

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