Sam Staton

1.4k citations
49 papers · 355 · h-index 11

Impact in

    • Formal Methods in Verification
    • Computability, Logic, AI Algorithms
    • Advanced Algebra and Logic
    • Logic, programming, and type systems
    • Logic, Reasoning, and Knowledge
    • Quantum Computing Algorithms and Architecture
    • Bayesian Modeling and Causal Inference

Papers in

Sam Staton

44 papers receiving 339 citations

Peers

Sam Staton
Comparison fields: 5 of 35
  • Computational Theory and Mathematics 235
  • Artificial Intelligence 330
  • Mathematical Physics 29
  • Hardware and Architecture 13
  • Software 7
Replace Paul-André Melliès with:
Paul-André Melliès France
Fabio Zanasi United Kingdom
Laurent Régnier France
Helmut Schwichtenberg Germany
Ulrich Berger United Kingdom
Thomas Streicher Germany
Roy L. Crole United Kingdom
H. Schwichtenberg Germany
Andrej Bauer Slovenia
Clemens Ballarin Germany
Sam Staton relative to Paul-André Melliès France Paul-André Melliès's profile →
Citations per field
00.5×
Paul-André Melliès · 1×
Citations per year

Countries citing papers authored by Sam Staton

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 19 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.

Border = papers with Sam Staton Line = papers co-authored together Sam Staton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201132
2 201725
3 200625
4 201423
5 201722
6 200620
7
201911
8 201310
9 202010
10 201410
11 201810
12 200810
13 20239
14 20229
15 20138
16 20087
17 20147
18 20137
19 20097
20
Probabilistic programming semantics for name generation
20216

About Sam Staton

Sam Staton is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Mathematical Physics, Atomic and Molecular Physics, and Optics and Computer Networks and Communications, having authored 49 papers that have together received 355 indexed citations. Recurring topics across this work include Logic, programming, and type systems (34 papers), Logic, Reasoning, and Knowledge (30 papers), Computability, Logic, AI Algorithms (11 papers), Formal Methods in Verification (11 papers), Advanced Algebra and Logic (7 papers), Bayesian Modeling and Causal Inference (6 papers), Quantum Mechanics and Applications (4 papers) and Homotopy and Cohomology in Algebraic Topology (4 papers). The work is most often cited by research in Computational Theory and Mathematics (235 citations), Artificial Intelligence (330 citations), Mathematical Physics (29 citations), Hardware and Architecture (13 citations) and Software (7 citations). Sam Staton has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Marcelo Fiore, Ohad Kammar, Hongseok Yang, Paul Blain Levy, Chris Heunen, Rasmus Ejlers Møgelberg, Vikash K. Mansinghka, Alexandra Silva, Carla Umbach and Klaus Ostermann. Their work appears in journals such as Proceedings of the ACM on Programming Languages, Logical Methods in Computer Science, Information and Computation, ACM SIGPLAN Notices 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.

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