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Computer Science
UK
2025

D-Index & Metrics

Computer Science

D-Index
108
Citations
43995
World Ranking
259
National Ranking
13

Mark Harman 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 Mark Harman 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: 580 publications — 96th percentile

96% of scientists in this discipline score the same or lower.

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

Mark Harman 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 Mark Harman 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: 108 D-Index — 98th percentile

98% 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

  • 2025 - Research.com Computer Science in United Kingdom Leader Award
  • 2023 - Research.com Computer Science in United Kingdom Leader Award
  • 2022 - Research.com Computer Science in United Kingdom Leader Award

Overview

Mark Harman is affiliated with University College London in the United Kingdom and has contributed extensively to research in Computer Science, with a particular focus on software and machine learning domains. Their work spans multiple subfields, including Software, Information Systems, Artificial Intelligence, Computer Networks and Communications, and Safety Research.

The scientist's research topics include Software Testing and Debugging Techniques, Software Engineering Research, Software Reliability and Analysis Research, Adversarial Robustness in Machine Learning, Software System Performance and Reliability, Ethics and Social Impacts of AI, and Explainable Artificial Intelligence (XAI).

Mark Harman has published papers in several prominent venues. Notable publication venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Software Engineering
  • ACM Transactions on Software Engineering and Methodology
  • Empirical Software Engineering
  • Proceedings of the 44th International Conference on Software Engineering

Some of the recent papers authored by or co-authored with Mark Harman are:

  • Machine Learning Testing: Survey, Landscapes and Horizons, 2020, IEEE Transactions on Software Engineering
  • Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey, 2023, ACM Journal on Responsible Computing
  • An Empirical Study of the Non-Determinism of ChatGPT in Code Generation, 2024, ACM Transactions on Software Engineering and Methodology
  • A Comprehensive Empirical Study of Bias Mitigation Methods for Machine Learning Classifiers, 2023, ACM Transactions on Software Engineering and Methodology
  • A Survey of Performance Optimization for Mobile Applications, 2021, IEEE Transactions on Software Engineering

Mark Harman frequently collaborates with other researchers. Some of the main co-authors include:

  • Jie M. Zhang
  • Federica Sarro
  • Zhenpeng Chen
  • Max Hort
  • Kinga Bojarczuk

Best Publications

  • An Analysis and Survey of the Development of Mutation Testing

    Yue Jia;M. Harman

  • Regression testing minimization, selection and prioritization: a survey

    S. Yoo;M. Harman

  • Search-based software engineering

    Mark Harman;Bryan F Jones

  • The Oracle Problem in Software Testing: A Survey

    Earl T. Barr;Mark Harman;Phil McMinn;Muzammil Shahbaz

  • Search Algorithms for Regression Test Case Prioritization

    Z. Li;M. Harman;R.M. Hierons

  • Search-based software engineering: Trends, techniques and applications

    Mark Harman;S. Afshin Mansouri;Yuanyuan Zhang

  • An orchestrated survey of methodologies for automated software test case generation

    Saswat Anand;Edmund K. Burke;Tsong Yueh Chen;John Clark

  • Machine Learning Testing: Survey, Landscapes and Horizons

    Jie M. Zhang;Mark Harman;Lei Ma;Yang Liu

  • The Current State and Future of Search Based Software Engineering

    M. Harman

  • Search based software engineering: techniques, taxonomy, tutorial

    Mark Harman;Phil McMinn;Jerffeson Teixeira de Souza;Shin Yoo

  • Sapienz: multi-objective automated testing for Android applications

    Ke Mao;Mark Harman;Yue Jia

  • Genetic and Evolutionary Computation -- GECCO-2003

    Erick Cantú-Paz;James A. Foster;Kalyanmoy Deb;Lawrence David Davis

  • A Survey of App Store Analysis for Software Engineering

    William Martin;Federica Sarro;Yue Jia;Yuanyuan Zhang

  • A Theoretical and Empirical Study of Search-Based Testing: Local, Global, and Hybrid Search

    M. Harman;P. McMinn

  • Pareto efficient multi-objective test case selection

    Shin Yoo;Mark Harman

  • Using formal specifications to support testing

    Robert M. Hierons;Kirill Bogdanov;Jonathan P. Bowen;Rance Cleaveland

  • A survey of the use of crowdsourcing in software engineering

    Ke Mao;Licia Capra;Mark Harman;Yue Jia

  • Software Module Clustering as a Multi-Objective Search Problem

    Kata Praditwong;Mark Harman;Xin Yao

  • Mutation Testing Advances: An Analysis and Survey

    Mike Papadakis;Marinos Kintis;Jie Zhang;Yue Jia

  • Reformulating software engineering as a search problem

    J Clarke;J J Dolado;Mark Harman;R Hierons

Frequent Co-Authors

Robert M. Hierons
Robert M. Hierons University of Sheffield
David Binkley
David Binkley Loyola University Maryland
Yue Jia
Yue Jia University College London
Shin Yoo
Shin Yoo Korea Advanced Institute of Science and Technology
William B. Langdon
William B. Langdon University College London
Jens Krinke
Jens Krinke University College London
Phil McMinn
Phil McMinn University of Sheffield
Federica Sarro
Federica Sarro University College London
Paolo Tonella
Paolo Tonella Universita della Svizzera Italiana
Malcolm Munro
Malcolm Munro Durham University

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