John H R May

2.1k total citations · 1 hit paper
50 papers, 1.2k citations indexed

About

John H R May is a scholar working on Software, Information Systems and Computer Networks and Communications. According to data from OpenAlex, John H R May has authored 50 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Software, 23 papers in Information Systems and 11 papers in Computer Networks and Communications. Recurrent topics in John H R May's work include Software Reliability and Analysis Research (24 papers), Software Engineering Research (19 papers) and Software Testing and Debugging Techniques (18 papers). John H R May is often cited by papers focused on Software Reliability and Analysis Research (24 papers), Software Engineering Research (19 papers) and Software Testing and Debugging Techniques (18 papers). John H R May collaborates with scholars based in United Kingdom, United States and Greece. John H R May's 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 and has published in prestigious journals such as ACM Computing Surveys, IEEE Transactions on Software Engineering and Computer.

In The Last Decade

John H R May

46 papers receiving 1.1k citations

Hit Papers

Software unit test coverage and adequacy 1997 2026 2006 2016 1997 250 500 750

Peers

John H R May
Comparison fields: 5 of 71
  • Software 857
  • Information Systems 684
  • Computer Networks and Communications 267
  • Artificial Intelligence 144
  • Hardware and Architecture 90
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Citations per field, relative to John H R May
John H R May · 1×
Citations per year, relative to John H R May
John H R May · 1×

Countries citing papers authored by John H R May

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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.

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