R. M. Burstall
- Artificial Intelligence top 0.5%
- Computational Theory and Mathematics top 0.2%
- Software top 1%
- Information Systems top 1%
- Computer Networks and Communications top 5%
- Co-authors
- John DarlingtonJoseph A. GoguenHarry G. BarrowDonald SannellaDavid MacQueenDavid RydeheardR. J. PopplestoneAndrzej Tarlecki
- Topics
- Logic, programming, and type systems (22 papers)Parallel Computing and Optimization Techniques (8 papers)Teaching and Learning Programming (7 papers)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
R. M. Burstall
38 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Artificial Intelligence 2.1k
- Computational Theory and Mathematics 1.4k
- Software 482
- Information Systems 473
- Computer Networks and Communications 406
Countries citing papers authored by R. M. Burstall
This map shows the geographic impact of R. M. Burstall'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 R. M. Burstall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. M. Burstall more than expected).
Fields of papers citing papers by R. M. Burstall
This network shows the impact of papers produced by R. M. Burstall. 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 R. M. Burstall. The network helps show where R. M. Burstall may publish in the future.
Co-authorship network of co-authors of R. M. Burstall
This figure shows the co-authorship network connecting the top 25 collaborators of R. M. Burstall. A scholar is included among the top collaborators of R. M. Burstall 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 R. M. Burstall. R. M. Burstall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Some Techniques for Proving Correctness of Programs which Alter Data Structures | 20 |
| 2 | 10 | |
| 3 | Terms, proofs and refinement (Extended abstract) | 1 |
| 4 | Hiding and behaviour: an institutional approach | 27 |
| 5 | 55 | |
| 6 | Computational category theory | 66 |
| 7 | 5 | |
| 8 | Monads and theories: a survey for computation | 1 |
| 9 | Institutions : abstract model theory for computer science | 19 |
| 10 | Programming with Modules as Typed Functional Programming. | 18 |
| 11 | A kernel language for modules and abstract data types | 11 |
| 12 | 29 | |
| 13 | 25 | |
| 14 | 201 | |
| 15 | Putting theories together to make specifications | 202 |
| 16 | 78 | |
| 17 | 46 | |
| 18 | Program Proving as Hand Simulation with a Little Induction. | 94 |
| 19 | 182 | |
| 20 | 1 |
About R. M. Burstall
R. M. Burstall is a scholar working on Computer Science Applications, Hardware and Architecture and Artificial Intelligence, having authored 40 papers that have together received 2.7k indexed citations. Recurring topics across this work include Logic, programming, and type systems (22 papers), Parallel Computing and Optimization Techniques (8 papers) and Teaching and Learning Programming (7 papers). The work is most often cited by research in Software (482 citations), Computational Theory and Mathematics (1.4k citations) and Artificial Intelligence (2.1k citations). R. M. Burstall has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include John Darlington, Joseph A. Goguen, Harry G. Barrow, Donald Sannella, David MacQueen, David Rydeheard, R. J. Popplestone, Andrzej Tarlecki, A.P. Ambler and Răzvan Diaconescu. Their work appears in journals such as Journal of the Operational Research Society, Artificial Intelligence and Journal of the ACM.
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.