Matthew Hague
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 5%
- Software top 5%
- Information Systems top 10%
- Computer Networks and Communications
- Co-authors
- C.-H. Luke OngOlivier SerreAndrzej S. MurawskiAnthony W. LinTaolue ChenZhilin WuPhilipp RümmerArnaud Carayol
- Topics
- Formal Methods in Verification (14 papers)Logic, programming, and type systems (13 papers)Software Testing and Debugging Techniques (9 papers)
- Journals
- Theoretical Computer ScienceACM SIGPLAN NoticesACM Transactions on Programming Languages and Systems
- Partner nations
- United KingdomFranceGermany
In The Last Decade
Matthew Hague
21 papers receiving 178 citations
Peers
Comparison fields: 5 of 23
- Artificial Intelligence 134
- Computational Theory and Mathematics 113
- Software 68
- Information Systems 58
- Computer Networks and Communications 15
Countries citing papers authored by Matthew Hague
This map shows the geographic impact of Matthew Hague'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 Hague with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Hague more than expected).
Fields of papers citing papers by Matthew Hague
This network shows the impact of papers produced by Matthew Hague. 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 Hague. The network helps show where Matthew Hague may publish in the future.
Co-authorship network of co-authors of Matthew Hague
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Hague. A scholar is included among the top collaborators of Matthew Hague 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 Matthew Hague. Matthew Hague is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 11 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 16 | |
| 9 | 13 | |
| 10 | 1 | |
| 11 | 7 | |
| 12 | 3 | |
| 13 | 5 | |
| 14 | C-SHORe: A collapsible approach to verifying higher-order programs | 5 |
| 15 | 0 | |
| 16 | 3 | |
| 17 | 4 | |
| 18 | 3 | |
| 19 | 11 | |
| 20 | Static Checkers for Tree Structures and Heaps | 1 |
About Matthew Hague
Matthew Hague is a scholar working on Software, Computational Theory and Mathematics and Artificial Intelligence, having authored 24 papers that have together received 186 indexed citations. Recurring topics across this work include Formal Methods in Verification (14 papers), Logic, programming, and type systems (13 papers) and Software Testing and Debugging Techniques (9 papers). The work is most often cited by research in Software (68 citations), Computational Theory and Mathematics (113 citations) and Artificial Intelligence (134 citations). Matthew Hague has collaborated with scholars based in United Kingdom, France and Germany. Frequent co-authors include C.-H. Luke Ong, Olivier Serre, Andrzej S. Murawski, Anthony W. Lin, Taolue Chen, Zhilin Wu, Philipp Rümmer, Arnaud Carayol, Yan Chen and Igor Potapov. Their work appears in journals such as Theoretical Computer Science, ACM SIGPLAN Notices and ACM Transactions on Programming Languages and Systems.
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.