Dag Prawitz

3.8k citations
36 papers · 1.1k indexed · 1 hit paper · h-index 12

Dag Prawitz

33 papers receiving 902 citations

Hit Papers

Natural Deduction: A Proof-Theoretical Study5451965202619852005100200300400500

Peers

Dag Prawitz
Comparison fields: 5 of 63
  • Theoretical Computer Science 65
  • Computational Theory and Mathematics 513
  • Artificial Intelligence 870
  • History and Philosophy of Science 120
  • Experimental and Cognitive Psychology 246
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Warren Goldfarb United States
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A. S. Troelstra Netherlands
Krister Segerberg Sweden
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Citations per field
00.5×10.3×
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Citations per year

Countries citing papers authored by Dag Prawitz

Since Specialization
Citations

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

Fields of papers citing papers by Dag Prawitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 2 scholars most cited alongside Dag Prawitz, 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 Dag Prawitz Line = papers co-authored together Dag Prawitz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20184
3
Classical versus intuitionistic logic
20154
4
Proofs and Perfect Syllogisms
20113
5 20113
6
Inference and knowledge
200910
7 20022
8 199821
9
Logic and Philosophy of Science in Uppsala Papers From the 9th International Congress of Logic, Methodology and Philosophy of Science
19942
10
Logic, methodology and philosophy of science IX : proceedings of the Ninth International Congress of Logic, Methodology and Philosophy of Science, Uppsala, Sweden, August 7-14, 1991
19946
11 19949
12
Preface: A Selection of Papers Presented at the 9th International Conference of Logic, Methodology and Philosophy of Science.
19931
13 19914
14 19874
15 198529
16 197770
17 19704
18 196837
19 19682
20
Natural Deduction: A Proof-Theoretical Studybreakdown →
1965545

About Dag Prawitz

Dag Prawitz is a scholar working on Theoretical Computer Science, Artificial Intelligence, Computational Theory and Mathematics, Philosophy and History and Philosophy of Science, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Logic, programming, and type systems (14 papers), Logic, Reasoning, and Knowledge (11 papers), Formal Methods in Verification (4 papers), Philosophy and Theoretical Science (3 papers), Historical Linguistics and Language Studies (2 papers), Semantic Web and Ontologies (2 papers), Advanced Algebra and Logic (2 papers) and Computability, Logic, AI Algorithms (2 papers). The work is most often cited by research in Theoretical Computer Science (65 citations), Computational Theory and Mathematics (513 citations), Artificial Intelligence (870 citations), History and Philosophy of Science (120 citations) and Experimental and Cognitive Psychology (246 citations). Dag Prawitz has collaborated with scholars based in Sweden, Norway and Spain. Frequent co-authors include Dag Westerståhl and Brian Skyrms. Their work appears in journals such as Theoria, Synthese, Topoi, Journal of Symbolic Logic and Annals of Pure and Applied 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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