Keith Mander
Impact in
- Software top 2%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Information Systems top 5%
- Software Engineering Research
- Software Engineering Techniques and Practices
Papers in
-
- Software Engineering Research 5
- Software Engineering Techniques and Practices 2
- Software 3
- Software Testing and Debugging Techniques 3
- Software Reliability and Analysis Research 3
- Co-authors
- Nigel Tracey (3 shared papers)John A. Clark (3 shared papers)D. Brown (1 shared paper)Jon Timmis (1 shared paper)Fiona Polack (1 shared paper)Martin R. Woodward (1 shared paper)
- Journals
- Journal of Systems and Software (1 paper)IEEE Transactions on Education (1 paper)Communications of the ACM (1 paper)Kent Academic Repository (University of Kent) (3 papers)ACM SIGSOFT Software Engineering Notes (1 paper)
- Partner nations
- United Kingdom
In The Last Decade
Keith Mander
8 papers receiving 248 citations
Peers
Comparison fields: 5 of 27
- Software 235
- Information Systems 161
- Hardware and Architecture 33
- Computer Science Applications 10
- Computer Networks and Communications 41
Countries citing papers authored by Keith Mander
This map shows the geographic impact of Keith Mander's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Keith Mander with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith Mander more than expected).
Fields of papers citing papers by Keith Mander
This network shows the impact of papers produced by Keith Mander. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Keith Mander. The network helps show where Keith Mander may publish in the future.
Co-authors
The 6 scholars most cited alongside Keith Mander, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 148 | |
| 2 | The way forward for unifying dynamic test-case generation: The optimisation-based approach | 1998 | 53 |
| 3 | 1998 | 31 | |
| 4 | 1999 | 29 | |
| 5 | Mutation Testing: An Artificial Immune System Approach | 2003 | 8 |
| 6 | 2001 | 6 | |
| 7 | The SAZ Method: Version 1.0 | 1993 | 4 |
| 8 | 1982 | 2 |
About Keith Mander
Keith Mander is a scholar working on Information Systems, Software, Molecular Biology, Ecology and Artificial Intelligence, having authored 8 papers that have together received 281 indexed citations. Recurring topics across this work include Software Engineering Research (5 papers), Software Testing and Debugging Techniques (3 papers), Software Reliability and Analysis Research (3 papers), Software Engineering Techniques and Practices (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Machine Learning in Bioinformatics (1 paper), Biomedical and Engineering Education (1 paper) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Software (235 citations), Information Systems (161 citations), Hardware and Architecture (33 citations), Computer Science Applications (10 citations) and Computer Networks and Communications (41 citations). Keith Mander has collaborated with scholars based in United Kingdom. Frequent co-authors include Nigel Tracey, John A. Clark, D. Brown, Jon Timmis, Fiona Polack and Martin R. Woodward. Their work appears in journals such as Journal of Systems and Software, IEEE Transactions on Education, Communications of the ACM, Kent Academic Repository (University of Kent) and ACM SIGSOFT Software Engineering Notes.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.