G. Kreisel

3.8k citations
64 papers · 1.3k · h-index 21

Impact in

Papers in

G. Kreisel

59 papers receiving 977 citations

Peers

G. Kreisel
Comparison fields: 5 of 61
  • Theoretical Computer Science 143
  • Computational Theory and Mathematics 840
  • Geometry and Topology 204
  • History and Philosophy of Science 105
  • Artificial Intelligence 685
Replace John Myhill with:
John Myhill United States
A. S. Troelstra Netherlands
Michael Beeson United States
J. B. Paris United Kingdom
Harvey Friedman United States
Azriel Lévy Israel
Wilfrid Hodges United Kingdom
Robert L. Vaught United States
Donald A. Martin United States
Stephen G. Simpson United States
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Citations per field
00.5×10×14×
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Citations per year

Countries citing papers authored by G. Kreisel

Since Specialization
Citations

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

Fields of papers citing papers by G. Kreisel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside G. Kreisel, 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 G. Kreisel Line = papers co-authored together G. Kreisel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 196886
2 196884
3 196273
4 195169
5
On the Interpretation of Non-Finitist Proofs: Part II. Interpretation of Number Theory. Applications
195266
6 197065
7 195263
8 195855
9 196651
10 195748
11 197445
12 196638
13 196233
14 198030
15 195130
16 195828
17 196027
18 196526
19
Lawless sequences of natural numbers
196824
20 195821

About G. Kreisel

G. Kreisel is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Theoretical Computer Science, History and Philosophy of Science and Experimental and Cognitive Psychology, having authored 64 papers that have together received 1.3k indexed citations. Recurring topics across this work include Logic, programming, and type systems (15 papers), Logic, Reasoning, and Knowledge (14 papers), History and Theory of Mathematics (11 papers), Computability, Logic, AI Algorithms (11 papers), Philosophy and Theoretical Science (8 papers), Advanced Algebra and Logic (5 papers), Philosophy, Science, and History (4 papers) and Philosophy and History of Science (4 papers). The work is most often cited by research in Theoretical Computer Science (143 citations), Computational Theory and Mathematics (840 citations), Geometry and Topology (204 citations), History and Philosophy of Science (105 citations) and Artificial Intelligence (685 citations). G. Kreisel has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Amit Levy, A. S. Troelstra, Hao Wang, William A. Howard, H. Putnam, Solomon Feferman, Gerald E. Sacks, J. R. Shoenfield, Jean-Louis Krivine and Steven Orey. Their work appears in journals such as Journal of Symbolic Logic, The British Journal for the Philosophy of Science, Synthese, Archive for Mathematical Logic and Notre Dame Journal of Formal 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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