Matt Luckcuck
Impact in
- Software top 5%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Model-Driven Software Engineering Techniques
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- Formal Methods in Verification
Papers in
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- Formal Methods in Verification 9
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- Advanced Software Engineering Methodologies 2
- Co-authors
- Marie Farrell (12 shared papers)Michael Fisher (7 shared papers)Louise A. Dennis (5 shared papers)Clare Dixon (2 shared papers)Rafael C. Cardoso (3 shared papers)Michael Jump (2 shared papers)Emily C. Collins (2 shared papers)Matt Webster (2 shared papers)
- Journals
- Robotics (1 paper)ACM Computing Surveys (1 paper)Formal Methods in System Design (1 paper)Lecture notes in computer science (2 papers)Research Explorer (The University of Manchester) (4 papers)
- Partner nations
- United KingdomIrelandItaly
In The Last Decade
Matt Luckcuck
14 papers receiving 226 citations
Peers
Comparison fields: 5 of 42
- Software 81
- Computational Theory and Mathematics 90
- Artificial Intelligence 103
- Safety, Risk, Reliability and Quality 26
- Hardware and Architecture 15
Countries citing papers authored by Matt Luckcuck
This map shows the geographic impact of Matt Luckcuck'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 Matt Luckcuck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matt Luckcuck more than expected).
Fields of papers citing papers by Matt Luckcuck
This network shows the impact of papers produced by Matt Luckcuck. 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 Matt Luckcuck. The network helps show where Matt Luckcuck may publish in the future.
Co-authors
The 25 scholars most cited alongside Matt Luckcuck, 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 | 2019 | 144 | |
| 2 | 2021 | 32 | |
| 3 | 2018 | 17 | |
| 4 | 2020 | 7 | |
| 5 | 2021 | 7 | |
| 6 | 2020 | 6 | |
| 7 | 2021 | 4 | |
| 8 | 2022 | 4 | |
| 9 | 2021 | 2 | |
| 10 | 2022 | 2 | |
| 11 | 2013 | 2 | |
| 12 | 2021 | 2 | |
| 13 | 2022 | 1 | |
| 14 | 2020 | 1 | |
| 15 | 2022 | 0 |
About Matt Luckcuck
Matt Luckcuck is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Software, Safety, Risk, Reliability and Quality and Computer Networks and Communications, having authored 15 papers that have together received 231 indexed citations. Recurring topics across this work include Formal Methods in Verification (9 papers), Safety Systems Engineering in Autonomy (4 papers), Software Testing and Debugging Techniques (3 papers), Software Reliability and Analysis Research (3 papers), Distributed systems and fault tolerance (2 papers), Risk and Safety Analysis (2 papers), Advanced Software Engineering Methodologies (2 papers) and Fault Detection and Control Systems (2 papers). The work is most often cited by research in Software (81 citations), Computational Theory and Mathematics (90 citations), Artificial Intelligence (103 citations), Safety, Risk, Reliability and Quality (26 citations) and Hardware and Architecture (15 citations). Matt Luckcuck has collaborated with scholars based in United Kingdom, Ireland and Italy. Frequent co-authors include Marie Farrell, Michael Fisher, Louise A. Dennis, Clare Dixon, Rafael C. Cardoso, Michael Jump, Emily C. Collins, Matt Webster, Alexei Lisitsa and Shan Luo. Their work appears in journals such as Robotics, ACM Computing Surveys, Formal Methods in System Design, Lecture notes in computer science and Research Explorer (The University of Manchester).
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.