2026 Barbara Kitchenham: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	84	824	794	42	42	250	46040

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

7651
Citations
Systematic literature reviews in software engineering - A systematic literature review

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

5219
Citations
Lessons from applying the systematic literature review process within the software engineering domain

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

3047
Citations
Preliminary guidelines for empirical research in software engineering

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

2086
Citations
Systematic literature reviews in software engineering - A tertiary study

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

1404
Citations
A systematic review of systematic review process research in software engineering

Barbara Kitchenham;Pearl Brereton

1206
Citations
Evidence-based software engineering

Barbara A. Kitchenham;Tore Dyba;Magne Jorgensen

1179
Citations
Does the technology acceptance model predict actual use? A systematic literature review

Mark Turner;Barbara Kitchenham;Pearl Brereton;Stuart Charters

1165
Citations
Software quality: the elusive target [special issues section]

B. Kitchenham;S.L. Pfleeger

983
Citations
Case studies for method and tool evaluation

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

893
Citations
Evidence-Based Software Engineering and Systematic Reviews

Barbara Ann Kitchenham;David Budgen;Pearl Brereton

856
Citations
Towards a framework for software measurement validation

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

852
Citations
Using mapping studies as the basis for further research - A participant-observer case study

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

830
Citations
Evidence-based software engineering for practitioners

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

678
Citations
Personal Opinion Surveys

Barbara A. Kitchenham;Shari Lawrence Pfleeger

653
Citations
A simulation study of the model evaluation criterion MMRE

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

617
Citations
What accuracy statistics really measure

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

574
Citations
Principles of survey research: part 5: populations and samples

Barbara Kitchenham;Shari Lawrence Pfleeger

555
Citations
Cross versus Within-Company Cost Estimation Studies: A Systematic Review

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

501
Citations
Principles of survey research: part 1: turning lemons into lemonade

Shari Lawrence Pfleeger;Barbara A. Kitchenham

453
Citations
Using Mapping Studies in Software Engineering.

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

447
Citations
What accuracy statistics really measure

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

3
Citations

Frequent Co-Authors

David Budgen Durham University

Pearl Brereton Keele University

Shari Lawrence Pfleeger Dartmouth College

Jacky Keung City University of Hong Kong

Mahmood Niazi King Fahd University of Petroleum and Minerals

Muhammad Ali Babar University of Adelaide

Dietmar Pfahl University of Tartu

Emilia Mendes Aarhus University

Tore Dybå SINTEF

Martin Shepperd Brunel University London

External Links

Personal website of Barbara Kitchenham Google Scholar page

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