World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
57
Citations
13777
World Ranking
3816
National Ranking
170

Gordon Fraser 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 Gordon Fraser 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: 267 publications — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Gordon Fraser 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 Gordon Fraser 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: 57 D-Index — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Overview

Gordon Fraser is affiliated with the University of Passau in Germany and has contributed extensively to the field of computer science, particularly in software testing and debugging. Their body of work spans over a hundred publications with a strong focus on software engineering research, software reliability, and teaching methodologies in programming.

Their recent papers include:

  • "Practical Mutation Testing at Scale: A view from Google", 2021, IEEE Transactions on Software Engineering
  • "An empirical study of automated unit test generation for Python", 2023, Empirical Software Engineering
  • "Test smells 20 years later: detectability, validity, and reliability", 2022, Empirical Software Engineering
  • "Automated test generation for Scratch programs", 2023, Empirical Software Engineering
  • "Encoding the certainty of boolean variables to improve the guidance for search-based test generation", 2021, Proceedings of the Genetic and Evolutionary Computation Conference

Frequent co-authors collaborating with Gordon Fraser include:

  • Philipp Straubinger
  • Stephan Lukasczyk
  • Patric Feldmeier
  • Sebastian Schweikl
  • Florian Kroiß

Gordon Fraser's work is frequently published in the following venues:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Empirical Software Engineering
  • Proceedings of the Genetic and Evolutionary Computation Conference
  • 2022 IEEE/ACM 44th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)

Their research spans several fields and subfields within computer science, including:

  • Software
  • Computer Science Applications
  • Information Systems
  • Artificial Intelligence
  • Signal Processing

Core topics addressed in Gordon Fraser's research are:

  • Software Testing and Debugging Techniques
  • Teaching and Learning Programming
  • Software Engineering Research
  • Software Reliability and Analysis Research
  • Advanced Malware Detection Techniques
  • Educational Games and Gamification
  • Software System Performance and Reliability

Best Publications

  • EvoSuite: automatic test suite generation for object-oriented software

    Gordon Fraser;Andrea Arcuri

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

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

  • Mutation-Driven Generation of Unit Tests and Oracles

    G. Fraser;A. Zeller

  • Whole Test Suite Generation

    G. Fraser;A. Arcuri

  • A Survey on Metamorphic Testing

    Sergio Segura;Gordon Fraser;Ana B. Sanchez;Antonio Ruiz-Cortes

  • Evaluating and improving fault localization

    Spencer Pearson;Jose Campos;Rene Just;Gordon Fraser

  • Parameter tuning or default values? An empirical investigation in search-based software engineering

    Andrea Arcuri;Gordon Fraser

  • Testing with model checkers: a survey

    Gordon Fraser;Franz Wotawa;Paul E. Ammann

  • A Large-Scale Evaluation of Automated Unit Test Generation Using EvoSuite

    Gordon Fraser;Andrea Arcuri

  • Do Automatically Generated Unit Tests Find Real Faults? An Empirical Study of Effectiveness and Challenges (T)

    Sina Shamshiri;Rene Just;Jose Miguel Rojas;Gordon Fraser

  • Testing with model checkers: a survey

    Unknown

  • On parameter tuning in search based software engineering

    Andrea Arcuri;Gordon Fraser

  • Automatically testing self-driving cars with search-based procedural content generation

    Alessio Gambi;Marc Mueller;Gordon Fraser

  • Evolutionary Generation of Whole Test Suites

    Gordon Fraser;Andrea Arcuri

  • Sound empirical evidence in software testing

    Gordon Fraser;Andrea Arcuri

  • An industrial evaluation of unit test generation: finding real faults in a financial application

    M. Moein Almasi;Hadi Hemmati;Gordon Fraser;Andrea Arcuri

  • Modeling readability to improve unit tests

    Ermira Daka;José Campos;Gordon Fraser;Jonathan Dorn

  • A Survey on Unit Testing Practices and Problems

    Ermira Daka;Gordon Fraser

  • Search-based system testing: high coverage, no false alarms

    Florian Gross;Gordon Fraser;Andreas Zeller

  • The Seed is Strong: Seeding Strategies in Search-Based Software Testing

    Gordon Fraser;Andrea Arcuri

  • 1600 faults in 100 projects: automatically finding faults while achieving high coverage with EvoSuite

    Gordon Fraser;Andrea Arcuri

  • Achieving scalable mutation-based generation of whole test suites

    Gordon Fraser;Andrea Arcuri

  • Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering (ASE 2018)

    Marianne Huchard;Christian Kästner;Gordon Fraser

Frequent Co-Authors

Andrea Arcuri
Andrea Arcuri Kristiania University College
Franz Wotawa
Franz Wotawa Graz University of Technology
Phil McMinn
Phil McMinn University of Sheffield
Andreas Zeller
Andreas Zeller Saarland University
Paul Ammann
Paul Ammann George Mason University
Rui Abreu
Rui Abreu University of Porto
Michael D. Ernst
Michael D. Ernst University of Washington
Leonardo Mariani
Leonardo Mariani University of Milano-Bicocca
Guy J. Brown
Guy J. Brown University of Sheffield
Alessandro Orso
Alessandro Orso Georgia Institute of Technology

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online degree options can help you begin or advance your journey in computer science, regardless of your current educational background. For those starting out, you might consider earning an associates degree online, which can provide core technical skills and open entry-level job opportunities or serve as a stepping stone to a bachelor’s degree.

If you want to invest further in your education for better job prospects, research the most valuable masters degrees that are currently in high demand among employers. These programs often lead to advanced roles and higher salaries in the tech industry.

Affordability is also a major concern for many students. It’s worth looking into affordable online degree programs that offer quality education without overwhelming tuition costs. If your academic history includes low grades, don't be discouraged—there are excellent college that accepts low gpa options to help you pursue your goals.

Best Scientists Citing Gordon Fraser

Trending Scientists