Geoff Sutcliffe

3.8k citations
105 papers · 1.2k indexed · h-index 17

Geoff Sutcliffe

93 papers receiving 1.1k citations

Peers

Geoff Sutcliffe
Comparison fields: 5 of 89
  • Computational Theory and Mathematics 626
  • Artificial Intelligence 1.0k
  • Software 113
  • Hardware and Architecture 102
  • Theoretical Computer Science 11
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Citations per year

Countries citing papers authored by Geoff Sutcliffe

Since Specialization
Citations

This map shows the geographic impact of Geoff Sutcliffe'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 Geoff Sutcliffe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geoff Sutcliffe more than expected).

Fields of papers citing papers by Geoff Sutcliffe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Geoff Sutcliffe. 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 Geoff Sutcliffe. The network helps show where Geoff Sutcliffe may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Geoff Sutcliffe, 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 Geoff Sutcliffe Line = papers co-authored together Geoff Sutcliffe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20232
2
TFX: The TPTP Extended Typed First-Order Form
20181
3
Making Belnap's "Useful 4-Valued Logic" Useful.
20181
4
Automated Reasoning for the Dialetheic Logic RM3.
20171
5
TH1: The TPTP typed higher-order form with rank-1 polymorphism
20167
6
Hoping for the Truth - A Survey of the TPTP Logics.
20162
7
Introducing StarExec: a Cross-Community Infrastructure for Logic Solving.
20121
8
COMBINING MIZAR AND TPTP SEMANTIC PRESENTATION AND VERIFICATION TOOLS
20092
9
Presenting TSTP Proofs with Inference Web Tools.
20084
10
The CADE-21 automated theorem proving system competition
200811
11
The 3rd IJCAR Automated Theorem Proving Competition
20074
12
The state of CASC
200659
13
The CADE-20 automated theorem proving competition
20065
14
Logic for Programming, Artificial Intelligence, and Reasoning, 12th International Conference, LPAR 2005, Montego Bay, Jamaica, December 2-6, 2005, Proceedings
20051
15 200234
16
Smart Selective Competition Parallelism ATP
199910
17
An Intelligent Document Understanding & Reproduction System
19942
18
Prolog-D-Linda v2: A New Embedding of Linda in SICStus Prolog.
19939
19
A Heterogeneous Parallel Deduction System
19924
20 19821

About Geoff Sutcliffe

Geoff Sutcliffe is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Hardware and Architecture, having authored 105 papers that have together received 1.2k indexed citations. Recurring topics across this work include Logic, programming, and type systems (63 papers), Formal Methods in Verification (40 papers), Logic, Reasoning, and Knowledge (33 papers), Semantic Web and Ontologies (13 papers), Parallel Computing and Optimization Techniques (12 papers), Algorithms and Data Compression (12 papers), semigroups and automata theory (11 papers) and Advanced Database Systems and Queries (10 papers). The work is most often cited by research in Computational Theory and Mathematics (626 citations), Artificial Intelligence (1.0k citations) and Software (113 citations). Geoff Sutcliffe has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Christian Suttner, Adam Pease, Francis Jeffry Pelletier, Christoph Benzmüller, Yury Puzis, Josef Urban, Stephan Schulz, Piotr Rudnicki, Yi Qin Gao and Андрей Воронков. Their work appears in journals such as SHILAP Revista de lepidopterología, Artificial Intelligence and Computers and Electronics in Agriculture.

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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