John H R May
- Software top 0.5%
- Information Systems top 1%
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Hardware and Architecture top 5%
- Co-authors
- Patrick A. V. HallHong ZhuTuomo KähkönenAldo DagninoDirk MuthigDaniel KieferMichael StupperichMikael Lindvall
- Topics
- Software Reliability and Analysis Research (24 papers)Software Engineering Research (19 papers)Software Testing and Debugging Techniques (18 papers)
- Partner nations
- United KingdomUnited StatesGreece
In The Last Decade
John H R May
46 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 71
- Software 857
- Information Systems 684
- Computer Networks and Communications 267
- Artificial Intelligence 144
- Hardware and Architecture 90
Countries citing papers authored by John H R May
This map shows the geographic impact of John H R May'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 John H R May with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John H R May more than expected).
Fields of papers citing papers by John H R May
This network shows the impact of papers produced by John H R May. 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 John H R May. The network helps show where John H R May may publish in the future.
Co-authorship network of co-authors of John H R May
This figure shows the co-authorship network connecting the top 25 collaborators of John H R May. A scholar is included among the top collaborators of John H R May based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John H R May. John H R May is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 14 | |
| 4 | 2 | |
| 5 | 16 | |
| 6 | 22 | |
| 7 | 19 | |
| 8 | Proceedings International Topical Meeting on Safety of Nuclear Installations(TOPSAFE) | 2 |
| 9 | 0 | |
| 10 | 13 | |
| 11 | 24 | |
| 12 | Assessment of the Benefit of redundant Systems | 0 |
| 13 | Fault Simulating to validate fault-tolerance in Ada | 1 |
| 14 | Using Influence Diagrams in Software Change Management | 1 |
| 15 | Testing the diversity of multi-version software using fault injection | 1 |
| 16 | Formal coupling of software components | 1 |
| 17 | 5 | |
| 18 | Fault prediction for software development processes | 1 |
| 19 | 2 | |
| 20 | 4 |
About John H R May
John H R May is a scholar working on Software, Information Systems and Safety, Risk, Reliability and Quality, having authored 50 papers that have together received 1.2k indexed citations. Recurring topics across this work include Software Reliability and Analysis Research (24 papers), Software Engineering Research (19 papers) and Software Testing and Debugging Techniques (18 papers). The work is most often cited by research in Software (857 citations), Information Systems (684 citations) and Hardware and Architecture (90 citations). John H R May has collaborated with scholars based in United Kingdom, United States and Greece. Frequent co-authors include Patrick A. V. Hall, Hong Zhu, Tuomo Kähkönen, Aldo Dagnino, Dirk Muthig, Daniel Kiefer, Michael Stupperich, Mikael Lindvall, Theo Tryfonas and A. D. Lunn. Their work appears in journals such as ACM Computing Surveys, IEEE Transactions on Software Engineering and Computer.
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.