Sam Staton
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- Formal Methods in Verification 11
- Computability, Logic, AI Algorithms 11
- Advanced Algebra and Logic 7
- Artificial Intelligence top 5%
- Logic, programming, and type systems 33
- Logic, Reasoning, and Knowledge 29
- Bayesian Modeling and Causal Inference 6
- Semantic Web and Ontologies 4
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- Quantum Mechanics and Applications 4
- Co-authors
- Marcelo FioreHongseok YangOhad KammarPaul Blain LevyChris HeunenRasmus Ejlers MøgelbergVikash K. MansinghkaKlaus Ostermann
- Journals
- Logical Methods in Computer Science (4 papers)Proceedings of the ACM on Programming Languages (4 papers)Information and Computation (3 papers)
- Partner nations
- United KingdomNetherlandsUnited States
In The Last Decade
Sam Staton
43 papers receiving 322 citations
Peers
Comparison fields: 5 of 34
- Computational Theory and Mathematics 226
- Artificial Intelligence 314
- Mathematical Physics 29
- Hardware and Architecture 13
- Software 7
Countries citing papers authored by Sam Staton
This map shows the geographic impact of Sam Staton'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 Sam Staton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam Staton more than expected).
Fields of papers citing papers by Sam Staton
This network shows the impact of papers produced by Sam Staton. 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 Sam Staton. The network helps show where Sam Staton may publish in the future.
Co-authorship network
The 22 scholars most cited alongside Sam Staton, 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 | 2025 | 0 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 1 | |
| 4 | Probabilistic programming semantics for name generation | 2021 | 6 |
| 5 | 2021 | 5 | |
| 6 | 2021 | 1 | |
| 7 | 2021 | 3 | |
| 8 | 2020 | 5 | |
| 9 | 2020 | 10 | |
| 10 | 2018 | 0 | |
| 11 | The Beta-Bernoulli process and algebraic effects | 2018 | 1 |
| 12 | 2017 | 24 | |
| 13 | 2015 | 4 | |
| 14 | 2014 | 10 | |
| 15 | 2014 | 5 | |
| 16 | 2013 | 10 | |
| 17 | 2013 | 5 | |
| 18 | Relating coalgebraic notions of bisimulation: with applications to name-passing process calculi | 2009 | 4 |
| 19 | 2008 | 7 | |
| 20 | 2006 | 25 |
About Sam Staton
Sam Staton is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Theoretical Computer Science, having authored 48 papers that have together received 338 indexed citations. Recurring topics across this work include Logic, programming, and type systems (33 papers), Logic, Reasoning, and Knowledge (29 papers), Formal Methods in Verification (11 papers), Computability, Logic, AI Algorithms (11 papers), Advanced Algebra and Logic (7 papers), Bayesian Modeling and Causal Inference (6 papers), Quantum Mechanics and Applications (4 papers) and Semantic Web and Ontologies (4 papers). The work is most often cited by research in Computational Theory and Mathematics (226 citations), Artificial Intelligence (314 citations) and Mathematical Physics (29 citations). Sam Staton has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Marcelo Fiore, Hongseok Yang, Ohad Kammar, Paul Blain Levy, Chris Heunen, Rasmus Ejlers Møgelberg, Vikash K. Mansinghka, Klaus Ostermann, Glynn Winskel and Zoubin Ghahramani. Their work appears in journals such as Logical Methods in Computer Science, Proceedings of the ACM on Programming Languages, Information and Computation, ACM SIGPLAN Notices and Journal of Functional Programming.
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.