Matthew Naylor
Impact in
- Software top 5%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
Papers in
-
- Parallel Computing and Optimization Techniques 12
- Embedded Systems Design Techniques 6
- Software 9
- Software Testing and Debugging Techniques 7
- Co-authors
- Colin Runciman (9 shared papers)Simon W. Moore (12 shared papers)David B. Thomas (5 shared papers)A. Theodore Markettos (5 shared papers)Emil Axelsson (1 shared paper)Jim Woodcock (1 shared paper)B. K. Campbell (1 shared paper)Robert N. M. Watson (2 shared papers)
- Journals
- Journal of Functional Programming (1 paper)Electronics Letters (1 paper)ACM SIGPLAN Notices (1 paper)IEEE Design and Test (1 paper)Software Practice and Experience (1 paper)
- Partner nations
- United KingdomSwedenUnited States
In The Last Decade
Matthew Naylor
27 papers receiving 217 citations
Peers
Comparison fields: 5 of 37
- Software 72
- Hardware and Architecture 79
- Artificial Intelligence 104
- Computational Theory and Mathematics 48
- Information Systems 51
Countries citing papers authored by Matthew Naylor
This map shows the geographic impact of Matthew Naylor'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 Matthew Naylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Naylor more than expected).
Fields of papers citing papers by Matthew Naylor
This network shows the impact of papers produced by Matthew Naylor. 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 Matthew Naylor. The network helps show where Matthew Naylor may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Naylor, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 91 | |
| 2 | 2020 | 22 | |
| 3 | 2013 | 17 | |
| 4 | 2019 | 15 | |
| 5 | 2008 | 12 | |
| 6 | 2010 | 10 | |
| 7 | 2007 | 9 | |
| 8 | 2015 | 8 | |
| 9 | 2013 | 8 | |
| 10 | 2023 | 5 | |
| 11 | 2007 | 4 | |
| 12 | 2020 | 4 | |
| 13 | 2024 | 3 | |
| 14 | 2012 | 3 | |
| 15 | 2021 | 3 | |
| 16 | 2023 | 2 | |
| 17 | 2022 | 2 | |
| 18 | 2016 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2014 | 2 |
About Matthew Naylor
Matthew Naylor is a scholar working on Hardware and Architecture, Software, Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems, having authored 29 papers that have together received 234 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (12 papers), Software Testing and Debugging Techniques (7 papers), Embedded Systems Design Techniques (6 papers), Software Engineering Research (4 papers), Interconnection Networks and Systems (4 papers), Formal Methods in Verification (4 papers), Distributed systems and fault tolerance (3 papers) and Advanced Malware Detection Techniques (3 papers). The work is most often cited by research in Software (72 citations), Hardware and Architecture (79 citations), Artificial Intelligence (104 citations), Computational Theory and Mathematics (48 citations) and Information Systems (51 citations). Matthew Naylor has collaborated with scholars based in United Kingdom, Sweden and United States. Frequent co-authors include Colin Runciman, Simon W. Moore, David B. Thomas, A. Theodore Markettos, Emil Axelsson, Jim Woodcock, B. K. Campbell, Robert N. M. Watson, Peter Sewell and Ian Stark. Their work appears in journals such as Journal of Functional Programming, Electronics Letters, ACM SIGPLAN Notices, IEEE Design and Test and Software Practice and Experience.
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.