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D-Index & Metrics

Computer Science

D-Index
77
Citations
25679
World Ranking
1260
National Ranking
670

Gregg Rothermel 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 Gregg Rothermel 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: 202 publications — 47th percentile

47% of scientists in this discipline score the same or lower.

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

Gregg Rothermel 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 Gregg Rothermel 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: 77 D-Index — 91st percentile

91% 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 - ACM Distinguished Member

Overview

Gregg Rothermel is affiliated with North Carolina State University in the United States. Their research primarily focuses on the field of Computer Science, with specific attention to software engineering and related subfields.

Their main fields of study include:

  • Software
  • Artificial Intelligence
  • Information Systems
  • Signal Processing
  • Computational Theory and Mathematics

Gregg Rothermel's work covers several key topics, such as:

  • Software Testing and Debugging Techniques
  • Software Reliability and Analysis Research
  • Advanced Software Engineering Methodologies
  • Software Engineering Research
  • Advanced Malware Detection Techniques
  • Formal Methods in Verification
  • Digital and Cyber Forensics

The scientist has published recent papers in a variety of venues, demonstrating a focus on software testing and verification as well as expert systems. These include:

  • Survey on test case generation, selection and prioritization for cyber-physical systems, 2021, Software Testing Verification and Reliability
  • Assessing expert system-assisted literature reviews with a case study, 2022, Expert Systems with Applications
  • Test Case Generation and Test Oracle Support for Testing CPSs using Hybrid Models, 2023, arXiv (Cornell University)
  • On "Prioritizing Test Cases for Regression Testing", 2025, IEEE Transactions on Software Engineering

Frequent publication venues for Gregg Rothermel include:

  • Software Testing Verification and Reliability
  • Expert Systems with Applications
  • arXiv (Cornell University)
  • IEEE Transactions on Software Engineering

In collaboration activities, this researcher has frequently co-authored with:

  • Zahra Sadri-Moshkenani
  • Justin Bradley
  • Hamid Bagheri
  • Witawas Srisa-an
  • Jackson Dinh

Gregg Rothermel was recognized as an ACM Distinguished Member in 2013.

Best Publications

  • Prioritizing test cases for regression testing

    G. Rothermel;R.H. Untch;Chengyun Chu;M.J. Harrold

  • Supporting Controlled Experimentation with Testing Techniques: An Infrastructure and its Potential Impact

    Hyunsook Do;Sebastian Elbaum;Gregg Rothermel

  • Test case prioritization: a family of empirical studies

    S. Elbaum;A.G. Malishevsky;G. Rothermel

  • Analyzing regression test selection techniques

    G. Rothermel;M.J. Harrold

  • A safe, efficient regression test selection technique

    Gregg Rothermel;Mary Jean Harrold

  • An experimental determination of sufficient mutant operators

    A. Jefferson Offutt;Ammei Lee;Gregg Rothermel;Roland H. Untch

  • Test case prioritization: an empirical study

    G. Rothermel;R.H. Untch;Chengyun Chu;M.J. Harrold

  • The state of the art in end-user software engineering

    Amy J. Ko;Robin Abraham;Laura Beckwith;Alan Blackwell

  • An empirical study of regression test selection techniques

    Todd L. Graves;Mary Jean Harrold;Jung-Min Kim;Adam Porter

  • Prioritizing test cases for regression testing

    Sebastian Elbaum;Alexey G. Malishevsky;Gregg Rothermel

  • Incorporating varying test costs and fault severities into test case prioritization

    Sebastian Elbaum;Alexey Malishevsky;Gregg Rothermel

  • An empirical study of regression test selection techniques

    T.L. Graves;M.J. Harrold;J. Kim;A. Porters

  • An empirical study of the effects of minimization on the fault detection capabilities of test suites

    G. Rothermel;M.J. Harrold;J. Ostrin;C. Hong

  • Performing data flow testing on classes

    Mary Jean Harrold;Gregg Rothermel

  • Whole program path-based dynamic impact analysis

    James Law;Gregg Rothermel

  • An experimental evaluation of selective mutation

    A.J. Offutt;G. Rothermel;C. Zapf

  • Techniques for improving regression testing in continuous integration development environments

    Sebastian Elbaum;Gregg Rothermel;John Penix

  • On the Use of Mutation Faults in Empirical Assessments of Test Case Prioritization Techniques

    H. Do;G. Rothermel

  • Selecting a Cost-Effective Test Case Prioritization Technique

    Sebastian Elbaum;Gregg Rothermel;Satya Kanduri;Alexey G. Malishevsky

  • Leveraging user-session data to support Web application testing

    S. Elbaum;G. Rothermel;S. Karre;M. Fisher

Frequent Co-Authors

Sebastian Elbaum
Sebastian Elbaum University of Virginia
Margaret Burnett
Margaret Burnett Oregon State University
Myra B. Cohen
Myra B. Cohen Iowa State University
Mary Jean Harrold
Mary Jean Harrold Georgia Institute of Technology
David S. Rosenblum
David S. Rosenblum George Mason University
Anita Sarma
Anita Sarma Oregon State University
Alessandro Orso
Alessandro Orso Georgia Institute of Technology
Lu Zhang
Lu Zhang Peking University
Hong Mei
Hong Mei Peking University
Adam Porter
Adam Porter University of Maryland, College Park

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