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Barbara Kitchenham

Barbara Kitchenham

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Computer Science
UK
2025

D-Index & Metrics

Computer Science

D-Index
84
Citations
46040
World Ranking
824
National Ranking
42

Barbara Kitchenham 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 Barbara Kitchenham 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: 250 publications — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Barbara Kitchenham 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 Barbara Kitchenham 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: 84 D-Index — 94th percentile

94% 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

Barbara Kitchenham is affiliated with Keele University in the United Kingdom. Their research is primarily situated within the field of Computer Science, with a focus on software engineering and related areas.

The main fields of study addressed in their work include:

  • Computer Science

Their research spans multiple subfields including:

  • Information Systems
  • Computer Science Applications
  • Statistics, Probability and Uncertainty
  • Software
  • Statistics and Probability

Key topics of their work cover:

  • Software Engineering Techniques and Practices
  • Software Engineering Research
  • Open Source Software Innovations
  • Meta-analysis and systematic reviews
  • Software Reliability and Analysis Research
  • Statistical Methods in Clinical Trials
  • Optimal Experimental Design Methods

Barbara Kitchenham has contributed to multiple academic venues, frequently publishing in:

  • IEEE Transactions on Software Engineering
  • Empirical Software Engineering
  • arXiv (Cornell University)
  • Information and Software Technology
  • Statistics in Medicine

The following is a selection of recent papers authored or co-authored by Barbara Kitchenham:

  • SEGRESS: Software Engineering Guidelines for REporting Secondary Studies (2022), IEEE Transactions on Software Engineering
  • How Should Software Engineering Secondary Studies Include Grey Material? (2022), IEEE Transactions on Software Engineering

Other papers connected to their research network include:

  • Empirical Standards for Software Engineering Research (2020), arXiv (Cornell University)
  • Training students in evidence-based software engineering and systematic reviews: a systematic review and empirical study (2021), Empirical Software Engineering
  • Assessing attitudes towards evidence-based software engineering in a government agency (2022), Information and Software Technology

Barbara Kitchenham collaborates frequently with several co-authors, including:

  • Lech Madeyski
  • Sebastián Pizard
  • Diego Vallespir
  • Fernando Acerenza
  • David Budgen

Best Publications

  • Procedures for Performing Systematic Reviews

    Barbara Kitchenham

  • Systematic literature reviews in software engineering - A systematic literature review

    Barbara Kitchenham;O. Pearl Brereton;David Budgen;Mark Turner

  • Lessons from applying the systematic literature review process within the software engineering domain

    Pearl Brereton;Barbara A. Kitchenham;David Budgen;Mark Turner

  • Preliminary guidelines for empirical research in software engineering

    B.A. Kitchenham;S.L. Pfleeger;L.M. Pickard;P.W. Jones

  • Systematic literature reviews in software engineering - A tertiary study

    Barbara Kitchenham;Rialette Pretorius;David Budgen;O. Pearl Brereton

  • A systematic review of systematic review process research in software engineering

    Barbara Kitchenham;Pearl Brereton

  • Evidence-based software engineering

    Barbara A. Kitchenham;Tore Dyba;Magne Jorgensen

  • Does the technology acceptance model predict actual use? A systematic literature review

    Mark Turner;Barbara Kitchenham;Pearl Brereton;Stuart Charters

  • Software quality: the elusive target [special issues section]

    B. Kitchenham;S.L. Pfleeger

  • Case studies for method and tool evaluation

    B. Kitchenham;L. Pickard;S.L. Pfleeger

  • Evidence-Based Software Engineering and Systematic Reviews

    Barbara Ann Kitchenham;David Budgen;Pearl Brereton

  • Towards a framework for software measurement validation

    B. Kitchenham;S.L. Pfleeger;N. Fenton

  • Using mapping studies as the basis for further research - A participant-observer case study

    Barbara A. Kitchenham;David Budgen;O. Pearl Brereton

  • Evidence-based software engineering for practitioners

    T. Dyba;B.A. Kitchenham;M. Jorgensen

  • Personal Opinion Surveys

    Barbara A. Kitchenham;Shari Lawrence Pfleeger

  • A simulation study of the model evaluation criterion MMRE

    T. Foss;E. Stensrud;B. Kitchenham;I. Myrtveit

  • What accuracy statistics really measure

    Barbara A. Kitchenham;Lesley Pickard;Stephen G. MacDonell;Martin J. Shepperd

  • Principles of survey research: part 5: populations and samples

    Barbara Kitchenham;Shari Lawrence Pfleeger

  • Cross versus Within-Company Cost Estimation Studies: A Systematic Review

    B.A. Kitchenham;E. Mendes;G.H. Travassos

  • Principles of survey research: part 1: turning lemons into lemonade

    Shari Lawrence Pfleeger;Barbara A. Kitchenham

  • Using Mapping Studies in Software Engineering.

    David Budgen;Mark Turner;Pearl Brereton;Barbara A. Kitchenham

  • What accuracy statistics really measure

    Barbara Ann Kitchenham;Stephen G. MacDonell;Lesley M. Pickard;Martin J. Shepperd

Frequent Co-Authors

David Budgen
David Budgen Durham University
Pearl Brereton
Pearl Brereton Keele University
Shari Lawrence Pfleeger
Shari Lawrence Pfleeger Dartmouth College
Jacky Keung
Jacky Keung City University of Hong Kong
Mahmood Niazi
Mahmood Niazi King Fahd University of Petroleum and Minerals
Muhammad Ali Babar
Muhammad Ali Babar University of Adelaide
Dietmar Pfahl
Dietmar Pfahl University of Tartu
Emilia Mendes
Emilia Mendes Aarhus University
Martin Shepperd
Martin Shepperd Brunel University London

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