World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
50
Citations
12407
World Ranking
5539
National Ranking
2531

David Binkley 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 David Binkley 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: 197 publications — 45th percentile

45% of scientists in this discipline score the same or lower.

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

David Binkley 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 David Binkley 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: 50 D-Index — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Overview

David Binkley is affiliated with Loyola University Maryland in the United States. Their research primarily spans the fields of Computer Science and Engineering, with a specific focus on subfields such as Software, Information Systems, Computer Networks and Communications, Electrical and Electronic Engineering, and Artificial Intelligence.

The scientist's work concentrates on several main topics, including:

  • Software Testing and Debugging Techniques
  • Software Engineering Research
  • Software Reliability and Analysis Research
  • Teaching and Learning Programming
  • VLSI and FPGA Design Techniques
  • Manufacturing Process and Optimization
  • Security and Verification in Computing

Recent scholarly contributions by David Binkley include the following publications:

  • Static stack-preserving intra-procedural slicing of WebAssembly binaries, 2022, Proceedings of the 44th International Conference on Software Engineering
  • Service Evolution Analytics: Change and Evolution Mining of a Distributed System, 2020, IEEE Transactions on Engineering Management
  • From Neuron Coverage to Steering Angle: Testing Autonomous Vehicles Effectively, 2021, Computer
  • An empirical evaluation of quasi-static executable slices, 2023, Journal of Systems and Software
  • Observation-based approximate dependency modeling and its use for program slicing, 2021, Journal of Systems and Software

Frequent publication venues for Binkley's work include:

  • Zenodo (CERN European Organization for Nuclear Research)
  • Journal of Systems and Software
  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Proceedings of the 44th International Conference on Software Engineering

Binkley has collaborated extensively with several co-authors. Regular collaborators include Coen De Roover, Quentin Stiévenart, Leon Moonen, Seongmin Lee, and Robert Feldt.

Best Publications

  • Interprocedural slicing using dependence graphs

    Susan Horwitz;Thomas Reps;David Binkley

  • Interprocedural slicing using dependence graphs

    Susan Horwitz;Thomas Reps;David Binkley

  • What’s in a Name? A Study of Identifiers

    D. Lawrie;C. Morrell;H. Feild;D. Binkley

  • Source Code Analysis: A Road Map

    D. Binkley

  • Semantics guided regression test cost reduction

    D. Binkley

  • Are test smells really harmful? An empirical study

    Gabriele Bavota;Abdallah Qusef;Rocco Oliveto;Andrea Lucia

  • The application of program slicing to regression testing

    David W. Binkley

  • An empirical analysis of the distribution of unit test smells and their impact on software maintenance

    Gabriele Bavota;Abdallah Qusef;Rocco Oliveto;Andrea De Lucia

  • A Survey of Empirical Results on Program Slicing

    David Wendell Binkley;Mark Harman

  • Program integration for languages with procedure calls

    David Binkley;Susan Horwitz;Thomas Reps

  • The impact of identifier style on effort and comprehension

    Dave Binkley;Marcia Davis;Dawn Lawrie;Jonathan I. Maletic

  • Evolutionary testing in the presence of loop-assigned flags: a testability transformation approach

    André Baresel;David Binkley;Mark Harman;Bogdan Korel

  • An empirical study of static program slice size

    David Binkley;Nicolas Gold;Mark Harman

  • Effective identifier names for comprehension and memory

    Dawn J. Lawrie;Christopher Morrell;Henry Feild;David W. Binkley

  • Amorphous program slicing

    Mark Harman;David Binkley;Sebastian Danicic

  • Using semantic differencing to reduce the cost of regression testing

    D. Binkley

  • The species per path approach to SearchBased test data generation

    Phil McMinn;Mark Harman;David Binkley;Paolo Tonella

  • An empirical study of slice-based cohesion and coupling metrics

    Timothy M. Meyers;David Binkley

  • Interprocedural slicing of computer programs using dependence graphs

    Thomas Reps;Susan Horwitz;David Binkley

  • Tool-Supported Refactoring of Existing Object-Oriented Code into Aspects

    D. Binkley;M. Ceccato;M. Harman;F. Ricca

  • Program slicing

    K. Gallagher;D. Binkley

Frequent Co-Authors

Mark Harman
Mark Harman University College London
Jens Krinke
Jens Krinke University College London
Shin Yoo
Shin Yoo Korea Advanced Institute of Science and Technology
Robert M. Hierons
Robert M. Hierons University of Sheffield
Thomas Reps
Thomas Reps University of Wisconsin–Madison
Rocco Oliveto
Rocco Oliveto University of Molise
Susan Horwitz
Susan Horwitz University of Wisconsin–Madison
Phil McMinn
Phil McMinn University of Sheffield
Gabriele Bavota
Gabriele Bavota Universita della Svizzera Italiana
Paolo Tonella
Paolo Tonella Universita della Svizzera Italiana

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