World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
7964
World Ranking
9199
National Ranking
567

Steve Counsell 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 Steve Counsell 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.

Steve Counsell 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 Steve Counsell 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: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Overview

Steve Counsell is a researcher affiliated with Brunel University London in the United Kingdom. Their primary academic focus lies within the field of Computer Science, with a specialization in software engineering and closely related areas.

The main fields of study associated with Counsell's work include:

  • Computer Science

Their research covers several subfields, notably:

  • Information Systems
  • Software
  • Computer Science Applications
  • Artificial Intelligence
  • Information Systems and Management

Key topics addressed in their publications are:

  • Software Engineering Research
  • Software Reliability and Analysis Research
  • Software Testing and Debugging Techniques
  • Open Source Software Innovations
  • Software Engineering Techniques and Practices
  • Scientific Computing and Data Management
  • Digital Imaging for Blood Diseases

Steve Counsell's work has been published in multiple venues, with recurrent contributions in:

  • Zenodo (CERN European Organization for Nuclear Research)
  • arXiv (Cornell University)
  • IEEE Software
  • IEEE Transactions on Software Engineering
  • Studies in Health Technology and Informatics

Selected recent papers authored or co-authored by Steve Counsell include:

  • "Blockchain Application for Central Banks: A Systematic Mapping Study," 2020, IEEE Access
  • "A large scale study on how developers discuss code smells and anti-pattern in Stack Exchange sites," 2020, Information and Software Technology
  • "On The Introduction of Automatic Program Repair in Bloomberg," 2021, IEEE Software
  • "How do Developers Really Feel About Bug Fixing? Directions for Automatic Program Repair," 2022, IEEE Transactions on Software Engineering
  • "Let's Talk With Developers, Not About Developers: A Review of Automatic Program Repair Research," 2022, IEEE Transactions on Software Engineering

Frequent collaborators have included several researchers, with the most frequent co-authors being:

  • Amjed Tahir
  • Peng Liang
  • Yajing Luo
  • Giuseppe Destefanis
  • Vesna Nowack

Best Publications

  • A Systematic Literature Review on Fault Prediction Performance in Software Engineering

    T. Hall;S. Beecham;D. Bowes;D. Gray

  • A conceptual model for the process of IT innovation adoption in organizations

    Mumtaz Abdul Hameed;Steve Counsell;Stephen Swift

  • An evaluation of the MOOD set of object-oriented software metrics

    R. Harrison;S.J. Counsell;R.V. Nithi

  • A Comparative Study of Cost Estimation Models for Web Hypermedia Applications

    Emilia Mendes;Ian Watson;Chris Triggs;Nile Mosley

  • A meta-analysis of relationships between organizational characteristics and IT innovation adoption in organizations

    Mumtaz Abdul Hameed;Steve Counsell;Stephen Swift

  • Experimental assessment of the effect of inheritance on the maintainability of object-oriented systems

    R. Harrison;S. Counsell;R. Nithi

  • Power law distributions in class relationships

    R. Wheeldon;S. Counsell

  • Web metrics - estimating design and authoring effort

    E. Mendes;N. Mosley;S. Counsell

  • Coupling metrics for object-oriented design

    R. Harrison;S. Counsell;R. Nithi

  • The interpretation and utility of three cohesion metrics for object-oriented design

    Steve Counsell;Stephen Swift;Jason Crampton

  • Empirical Studies of Object-Oriented Artifacts, Methods,and Processes: State of the Art and Future Directions

    L. Briand;E. Arisholm;S. Counsell;F. Houdek

  • Experimental assessment of software metrics using automated refactoring

    Mel Ó Cinnéide;Laurence Tratt;Mark Harman;Steve Counsell

  • Assessing the influence of Environmental and CEO Characteristics for Adoption of Information Technology in Organizations

    Mumtaz Abdul Hameed;Steve Counsell

  • Code smells as system-level indicators of maintainability: An empirical study

    Aiko Yamashita;Aiko Yamashita;Steve Counsell

  • A comparison of development effort estimation techniques for Web hypermedia applications

    E. Mendes;I. Watson;C. Triggs;N. Mosley

  • Investigating Web size metrics for early Web cost estimation

    Emilia Mendes;Nile Mosley;Steve Counsell

  • The Need for Web Engineering: An Introduction

    Emilia Mendes;Nile Mosley;Steve Counsell

  • Comparison of Web size measures for predicting Web design and authoring effort

    Emilia Mendes;Nile Mosley;Steve Counsell

  • Software development: do good manners matter?

    Giuseppe Destefanis;Marco Ortu;Steve Counsell;Stephen Swift

  • An overview of object-oriented design metrics

    R. Harrison;S. Counsell;R. Nithi

  • Blockchain Application for Central Banks: A Systematic Mapping Study

    Natalia Dashkevich;Steve Counsell;Giuseppe Destefanis

Frequent Co-Authors

Emilia Mendes
Emilia Mendes Aarhus University
Tracy Hall
Tracy Hall Lancaster University
Robert M. Hierons
Robert M. Hierons University of Sheffield
Roberto Tonelli
Roberto Tonelli University of Cagliari
Michele Marchesi
Michele Marchesi University of Cagliari
Xiaohui Liu
Xiaohui Liu Brunel University London
Martin Shepperd
Martin Shepperd Brunel University London
Ewan Tempero
Ewan Tempero University of Auckland
Stephen G. MacDonell
Stephen G. MacDonell Victoria University of Wellington
Ian Watson
Ian Watson University of Auckland

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