Sam Staton

1.4k citations
60 papers · 626 · h-index 13

Impact in

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

Papers in

Sam Staton

56 papers receiving 598 citations

Peers

Sam Staton
Comparison fields: 5 of 43
  • Computational Theory and Mathematics 416
  • Artificial Intelligence 585
  • Mathematical Physics 47
  • Hardware and Architecture 27
  • Computer Networks and Communications 63
Replace Andrej Bauer with:
Andrej Bauer Slovenia
Assia Mahboubi France
Paulo Oliva United Kingdom
François Garillot United States
Laurent Régnier France
Paul-André Melliès France
Thomas Streicher Germany
Cyril Cohen France
N. Sabadini Italy
Masahito Hasegawa Japan
Sam Staton relative to Andrej Bauer Slovenia Andrej Bauer's profile →
Citations per field
00.5×2×4×5.1×
Andrej Bauer · 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 21 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 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201755
2 201144
3 200637
4 201731
5 201730
6 201427
7 201325
8 200624
9 200919
10 201018
11 201316
12
201916
13 201413
14 202112
15 201312
16 200812
17 201811
18 201411
19 201411
20 202310

About Sam Staton

Sam Staton is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Mathematical Physics, Computer Networks and Communications and Atomic and Molecular Physics, and Optics, having authored 60 papers that have together received 626 indexed citations. Recurring topics across this work include Logic, programming, and type systems (42 papers), Logic, Reasoning, and Knowledge (39 papers), Formal Methods in Verification (15 papers), Computability, Logic, AI Algorithms (12 papers), Advanced Algebra and Logic (11 papers), Bayesian Modeling and Causal Inference (7 papers), Homotopy and Cohomology in Algebraic Topology (5 papers) and Quantum Mechanics and Applications (4 papers). The work is most often cited by research in Computational Theory and Mathematics (416 citations), Artificial Intelligence (585 citations), Mathematical Physics (47 citations), Hardware and Architecture (27 citations) and Computer Networks and Communications (63 citations). Sam Staton has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Marcelo Fiore, Ohad Kammar, Paul Blain Levy, Hongseok Yang, Rasmus Ejlers Møgelberg, Chris Heunen, Bart Jacobs, Vikash K. Mansinghka, Zoubin Ghahramani 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 Lecture notes in computer science.

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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