Mark Harman
Impact in
- Software top 0.01%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Information Systems top 0.01%
- Software Engineering Research
- Software Engineering Techniques and Practices
Papers in
- Software 366
- Software Testing and Debugging Techniques 324
- Software Reliability and Analysis Research 262
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- Software Engineering Research 306
- Software Engineering Techniques and Practices 50
- Co-authors
- Yue Jia (56 shared papers)Shin Yoo (39 shared papers)RM Hierons (58 shared papers)Phil McMinn (22 shared papers)William B. Langdon (31 shared papers)Federica Sarro (47 shared papers)David Binkley (57 shared papers)Jie M. Zhang (25 shared papers)
- Journals
- IEEE Transactions on Software Engineering (32 papers)Information and Software Technology (16 papers)ACM Transactions on Software Engineering and Methodology (14 papers)Journal of Systems and Software (14 papers)Software Testing Verification and Reliability (10 papers)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Mark Harman
482 papers receiving 26.4k citations
Mark Harman's Hit Papers
Peers
Comparison fields: 5 of 163
- Software 19.8k
- Information Systems 17.6k
- Signal Processing 3.3k
- Computer Science Applications 1.5k
- Hardware and Architecture 1.3k
Countries citing papers authored by Mark Harman
This map shows the geographic impact of Mark Harman'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 Mark Harman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Harman more than expected).
Fields of papers citing papers by Mark Harman
This network shows the impact of papers produced by Mark Harman. 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 Mark Harman. The network helps show where Mark Harman may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Harman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 497 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An Analysis and Survey of the Development of Mutation Testing Hit paper breakdown → | 2010 | 1337 |
| 2 | Regression testing minimization, selection and prioritization: a survey Hit paper breakdown → | 2012 | 1053 |
| 3 | The Oracle Problem in Software Testing: A Survey Hit paper breakdown → | 2014 | 790 |
| 4 | Search-based software engineering Hit paper breakdown → | 2001 | 733 |
| 5 | Machine Learning Testing: Survey, Landscapes and Horizons Hit paper breakdown → | 2020 | 632 |
| 6 | Search-based software engineering Hit paper breakdown → | 2012 | 627 |
| 7 | Search Algorithms for Regression Test Case Prioritization Hit paper breakdown → | 2007 | 615 |
| 8 | An orchestrated survey of methodologies for automated software test case generation Hit paper breakdown → | 2013 | 499 |
| 9 | The Current State and Future of Search Based Software Engineering Hit paper breakdown → | 2007 | 496 |
| 10 | Sapienz: multi-objective automated testing for Android applications Hit paper breakdown → | 2016 | 437 |
| 11 | A Survey of App Store Analysis for Software Engineering Hit paper breakdown → | 2016 | 366 |
| 12 | A Theoretical and Empirical Study of Search-Based Testing: Local, Global, and Hybrid Search Hit paper breakdown → | 2009 | 332 |
| 13 | 2010 | 311 | |
| 14 | Mutation Testing Advances: An Analysis and Survey Hit paper breakdown → | 2018 | 310 |
| 15 | A survey of the use of crowdsourcing in software engineering Hit paper breakdown → | 2016 | 307 |
| 16 | 2007 | 300 | |
| 17 | 2009 | 281 | |
| 18 | Large Language Models for Software Engineering: Survey and Open Problems Hit paper breakdown → | 2023 | 258 |
| 19 | 2003 | 231 | |
| 20 | Search Based Software Engineering: A Comprehensive Analysis and Review of Trends Techniques and Applications | 2009 | 229 |
About Mark Harman
Mark Harman is a scholar working on Software, Information Systems, Signal Processing, Artificial Intelligence and Hardware and Architecture, having authored 497 papers that have together received 27.6k indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (324 papers), Software Engineering Research (306 papers), Software Reliability and Analysis Research (262 papers), Advanced Malware Detection Techniques (54 papers), Software Engineering Techniques and Practices (50 papers), Software System Performance and Reliability (36 papers), Evolutionary Algorithms and Applications (25 papers) and VLSI and Analog Circuit Testing (21 papers). The work is most often cited by research in Software (19.8k citations), Information Systems (17.6k citations), Signal Processing (3.3k citations), Computer Science Applications (1.5k citations) and Hardware and Architecture (1.3k citations). Mark Harman has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Yue Jia, Shin Yoo, RM Hierons, Phil McMinn, William B. Langdon, Federica Sarro, David Binkley, Jie M. Zhang, Bryan F. Jones and Yuanyuan Zhang. Their work appears in journals such as IEEE Transactions on Software Engineering, Information and Software Technology, ACM Transactions on Software Engineering and Methodology, Journal of Systems and Software and Software Testing Verification and Reliability.
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.