World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
78
Citations
22809
World Ranking
1209
National Ranking
643

Laurie Williams 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 Laurie Williams 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: 401 publications — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Laurie Williams 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 Laurie Williams 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

  • 2018 - IEEE Fellow For contributions to reliable and secure software engineering

Overview

Laurie Williams is affiliated with North Carolina State University in the United States. Their research spans various topics within computer science, concentrating primarily on software engineering and information security. Their work addresses challenges related to software reliability, security, and development practices.

The main field of study for Laurie Williams is Computer Science, with publications distributed across several subfields including Information Systems, Signal Processing, Computer Networks and Communications, Artificial Intelligence, and Software. These subfields reflect the breadth of their research interests and engagements.

Their research topics cover:

  • Advanced Malware Detection Techniques
  • Software Engineering Research
  • Information and Cyber Security
  • Software Reliability and Analysis Research
  • Network Security and Intrusion Detection
  • Cybercrime and Law Enforcement Studies
  • Digital and Cyber Forensics

Laurie Williams has contributed to numerous publications in various venues. The most frequent publication platforms include:

  • arXiv (Cornell University)
  • IEEE Security & Privacy
  • Empirical Software Engineering
  • SSRN Electronic Journal
  • ACM Transactions on Software Engineering and Methodology

Recent notable papers authored or co-authored by Laurie Williams include:

  • Top Five Challenges in Software Supply Chain Security: Observations From 30 Industry and Government Organizations, 2022, IEEE Security & Privacy
  • Security Smells in Ansible and Chef Scripts, 2021, ACM Transactions on Software Engineering and Methodology
  • What Are the Attackers Doing Now? Automating Cyberthreat Intelligence Extraction from Text on Pace with the Changing Threat Landscape: A Survey, 2022, ACM Computing Surveys
  • Software development with feature toggles: practices used by practitioners, 2021, Empirical Software Engineering
  • Software Bills of Materials Are Required. Are We There Yet?, 2023, IEEE Security & Privacy

Collaboration is a significant aspect of Laurie Williams's research, demonstrated by frequent co-authors such as:

  • Nusrat Zahan
  • William Enck
  • Md Rayhanur Rahman
  • Yasemin Acar
  • Tim Menzies

Laurie Williams has been recognized as an IEEE Fellow in 2018 for contributions to reliable and secure software engineering.

Best Publications

  • Strengthening the case for pair programming

    L. Williams;R.R. Kessler;W. Cunningham;R. Jeffries

  • Pair programming illuminated

    Laurie Williams;Robert Kessler

  • The costs and benefits of pair programming

    Alistair Cockburn;Laurie Williams

  • Evaluating Complexity, Code Churn, and Developer Activity Metrics as Indicators of Software Vulnerabilities

    Yonghee Shin;A. Meneely;L. Williams;J. A. Osborne

  • Agile software development: it's about feedback and change

    L. Williams;A. Cockburn

  • Empirical Findings in Agile Methods

    Mikael Lindvall;Victor R. Basili;Barry W. Boehm;Patricia Costa

  • Improving the CS1 experience with pair programming

    Nachiappan Nagappan;Laurie Williams;Miriam Ferzli;Eric Wiebe

  • All I really need to know about pair programming I learned in kindergarten

    Laurie A. Williams;Robert R. Kessler

  • Assessing test-driven development at IBM

    E.M. Maximilien;L. Williams

  • On the value of static analysis for fault detection in software

    J. Zheng;L. Williams;N. Nagappan;W. Snipes

  • In Support of Pair Programming in the Introductory Computer Science Course

    Laurie A. Williams;Eric N. Wiebe;Kai Yang;Miriam Ferzli

  • Essential communication practices for Extreme Programming in a global software development team

    Lucas Layman;Laurie A. Williams;Daniela E. Damian;Hynek Bures

  • Predicting failures with developer networks and social network analysis

    Andrew Meneely;Laurie Williams;Will Snipes;Jason Osborne

  • A structured experiment of test-driven development

    Boby George;Laurie A. Williams

  • Test-driven development as a defect-reduction practice

    L. Williams;E.M. Maximilien;M. Vouk

  • An initial investigation of test driven development in industry

    Boby George;Laurie Williams

  • In support of student pair-programming

    Laurie Williams;Richard L. Upchurch

  • System test case prioritization of new and regression test cases

    H. Srikanth;L. Williams;J. Osborne

  • What agile teams think of agile principles

    Laurie Williams

  • Agile Software Development

    Laurie A. Williams;James E. Tomayko

  • Proceedings of the 38th International Conference on Software Engineering

    Laura Dillon;Willem Visser;Laurie Williams

  • ALL I REALLY NEED TO KNOW ABOUT PAIR PROGRAMMING I LEARNED IN KINDERGARTEN.(Technology Information)

    Laurie A. Williams;Robert R. Kessler

Frequent Co-Authors

Nachiappan Nagappan
Nachiappan Nagappan Facebook (United States)
Mladen A. Vouk
Mladen A. Vouk North Carolina State University
Brendan Murphy
Brendan Murphy Microsoft (United States)
Eric N. Wiebe
Eric N. Wiebe North Carolina State University
Annie I. Antón
Annie I. Antón Georgia Institute of Technology
Munindar P. Singh
Munindar P. Singh North Carolina State University
Willem Visser
Willem Visser Amazon (United States)
Chris Parnin
Chris Parnin Microsoft (United States)
Thomas Zimmermann
Thomas Zimmermann Microsoft (United States)
Jeffrey C. Carver
Jeffrey C. Carver University of Alabama

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