Phil McMinn
Impact in
- Software top 0.02%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Information Systems top 0.1%
- Software Engineering Research
Papers in
- Software 93
- Software Testing and Debugging Techniques 93
- Software Reliability and Analysis Research 65
-
- Software Engineering Research 66
- Web Data Mining and Analysis 10
- Web Application Security Vulnerabilities 7
- Co-authors
- Mark HarmanMuzammil ShahbazShin YooEarl T. BarrKiran LakhotiaGregory M. KapfhammerGordon FraserAndrea Arcuri
- Journals
- Software Testing Verification and Reliability (7 papers)IEEE Transactions on Software Engineering (5 papers)ACM Transactions on Software Engineering and Methodology (4 papers)Journal of Systems and Software (3 papers)Evolutionary Computation (2 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Phil McMinn
106 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Software 4.1k
- Information Systems 2.9k
- Hardware and Architecture 367
- Signal Processing 539
- Computer Science Applications 233
Countries citing papers authored by Phil McMinn
This map shows the geographic impact of Phil McMinn'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 Phil McMinn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phil McMinn more than expected).
Fields of papers citing papers by Phil McMinn
This network shows the impact of papers produced by Phil McMinn. 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 Phil McMinn. The network helps show where Phil McMinn may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Phil McMinn, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 5 | |
| 7 | 2019 | 8 | |
| 8 | 2018 | 26 | |
| 9 | 2018 | 23 | |
| 10 | 2016 | 6 | |
| 11 | EXPOSE: Inferring Worst-case Time Complexity by Automatic Empirical Study | 2015 | 2 |
| 12 | 2015 | 152 | |
| 13 | 2014 | 20 | |
| 14 | Search based software engineering: Techniques, taxonomy, tutorial | 2011 | 13 |
| 15 | 2010 | 1 | |
| 16 | 2008 | 13 | |
| 17 | 2008 | 23 | |
| 18 | The Species per Path Approach to Search-Based Software Test Data Generation | 2006 | 12 |
| 19 | Search-based software test data generation: a survey: Research Articles | 2004 | 89 |
| 20 | Search‐based software test data generation: a survey Hit paper breakdown → | 2004 | 935 |
About Phil McMinn
Phil McMinn is a scholar working on Software, Information Systems, Computer Science Applications, Hardware and Architecture and Signal Processing, having authored 112 papers that have together received 4.9k indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (93 papers), Software Engineering Research (66 papers), Software Reliability and Analysis Research (65 papers), Software System Performance and Reliability (14 papers), Web Data Mining and Analysis (10 papers), Advanced Malware Detection Techniques (9 papers), Teaching and Learning Programming (7 papers) and Web Application Security Vulnerabilities (7 papers). The work is most often cited by research in Software (4.1k citations), Information Systems (2.9k citations), Hardware and Architecture (367 citations), Signal Processing (539 citations) and Computer Science Applications (233 citations). Phil McMinn has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Mark Harman, Muzammil Shahbaz, Shin Yoo, Earl T. Barr, Kiran Lakhotia, Gregory M. Kapfhammer, Gordon Fraser, Andrea Arcuri, Mike Holcombe and Mark Stevenson. Their work appears in journals such as Software Testing Verification and Reliability, IEEE Transactions on Software Engineering, ACM Transactions on Software Engineering and Methodology, Journal of Systems and Software and Evolutionary Computation.
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.