Greg Restall

3.8k citations
92 papers · 2.2k · h-index 28

Impact in

Papers in

Greg Restall

85 papers receiving 1.9k citations

Peers

Greg Restall
Comparison fields: 5 of 70
  • Computational Theory and Mathematics 1.1k
  • Experimental and Cognitive Psychology 819
  • History and Philosophy of Science 287
  • Philosophy 540
  • Artificial Intelligence 1.5k
Replace Neil Tennant with:
Neil Tennant United States
Jc Beall United States
Dag Prawitz Sweden
Krister Segerberg Sweden
Stephen Read United Kingdom
Vann McGee United States
William Craig United States
Timothy Smiley United Kingdom
Lloyd Humberstone Australia
David Ripley United States
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Citations per year

Countries citing papers authored by Greg Restall

Since Specialization
Citations

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

Fields of papers citing papers by Greg Restall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Greg Restall, 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 Greg Restall Line = papers co-authored together Greg Restall links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002310
2 1969168
3 2002138
4 1996116
5 200083
6 199981
7 201168
8 200562
9 200962
10 200555
11 200651
12 200251
13 199250
14 199350
15 201247
16 199745
17 199839
18 201138
19 199336
20 200734

About Greg Restall

Greg Restall is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Experimental and Cognitive Psychology, Philosophy and History and Philosophy of Science, having authored 92 papers that have together received 2.2k indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (56 papers), Logic, programming, and type systems (36 papers), Advanced Algebra and Logic (34 papers), Philosophy and Theoretical Science (29 papers), Epistemology, Ethics, and Metaphysics (13 papers), Semantic Web and Ontologies (7 papers), Philosophy and History of Science (5 papers) and Computability, Logic, AI Algorithms (4 papers). The work is most often cited by research in Computational Theory and Mathematics (1.1k citations), Experimental and Cognitive Psychology (819 citations), History and Philosophy of Science (287 citations), Philosophy (540 citations) and Artificial Intelligence (1.5k citations). Greg Restall has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Jc Beall, J. Michael Dunn, John Slaney, Caroline West, Daniel Nolan, Francesco Berto, Ross T. Brady, Allen Hazen, Graham Priest and Toby Handfield. Their work appears in journals such as Journal of Philosophical Logic, Studia Logica, Australasian Journal of Philosophy, Notre Dame Journal of Formal Logic and The Review of Symbolic Logic.

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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