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Gordon Fraser

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 57 3816 3710 170 165 267 13777

Gordon Fraser publications per year

The chart shows the history of publications by Gordon Fraser between 2003 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Gordon Fraser published across 23 years, from 2003 to 2025, averaging 16.1 papers a year. Output peaked at 42 publications in 2023. 61 of the 370 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 2003 to 2025. Vertical axis: number of publications, 0 to 42. Peak 42 publications in 2023. 2003: 2 publications 2004: 3 publications 2005: 3 publications 2006: 4 publications 2007: 13 publications 2008: 8 publications 2009: 11 publications 2010: 7 publications 2011: 11 publications 2012: 15 publications 2013: 20 publications 2014: 16 publications 2015: 20 publications 2016: 10 publications 2017: 15 publications 2018: 15 publications 2019: 18 publications 2020: 16 publications 2021: 25 publications 2022: 35 publications 2023: 42 publications 2024: 31 publications 2025: 30 publications
2003 2025

370 publications in total across all disciplines

View publications per year as a table
Gordon Fraser: publications per year, 2003 to 2025
Year Publications
2003 2
2004 3
2005 3
2006 4
2007 13
2008 8
2009 11
2010 7
2011 11
2012 15
2013 20
2014 16
2015 20
2016 10
2017 15
2018 15
2019 18
2020 16
2021 25
2022 35
2023 42
2024 31
2025 30
Total 370
Download as CSV

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.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 262–271 publications, is where this scientist sits. 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
32–41 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.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301 267
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

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.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 56–57 D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458 57
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

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

External Links

Personal website of Gordon Fraser Google Scholar page

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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.

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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

Mark Harman

Mark Harman

University College London

Publications: 58

Mike Papadakis

Mike Papadakis

University of Luxembourg

Publications: 41

Lingming Zhang

Lingming Zhang

University of Illinois at Urbana-Champaign

Publications: 41

Mauro Pezzè

Mauro Pezzè

Universita della Svizzera Italiana

Publications: 36

Alex Groce

Alex Groce

Northern Arizona University

Publications: 35

Paolo Tonella

Paolo Tonella

Universita della Svizzera Italiana

Publications: 32

Lionel C. Briand

Lionel C. Briand

University of Ottawa

Publications: 32

Yves Le Traon

Yves Le Traon

University of Luxembourg

Publications: 30

Andrea Arcuri

Andrea Arcuri

Kristiania University College

Publications: 30

Martin Monperrus

Martin Monperrus

Royal Institute of Technology

Publications: 29

Denys Poshyvanyk

Denys Poshyvanyk

William & Mary

Publications: 28

Lu Zhang

Lu Zhang

Peking University

Publications: 28

Yue Jia

Yue Jia

University College London

Publications: 28

Dan Hao

Dan Hao

Peking University

Publications: 28

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Franz Wotawa

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Publications: 26

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Shaukat Ali

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Publications: 25

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