Natural Deduction: A Proof-Theoretical Study

545 indexed citations
published 1965
Authors
Dag Prawitz
Journal
Medical Entomology and Zoology

In The Last Decade

doi.org/w59050983 →

Countries where authors are citing Natural Deduction: A Proof-Theoretical Study

Specialization
Citations

This map shows the geographic impact of Natural Deduction: A Proof-Theoretical Study. 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 Natural Deduction: A Proof-Theoretical Study with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natural Deduction: A Proof-Theoretical Study more than expected).

Fields of papers citing Natural Deduction: A Proof-Theoretical Study

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Natural Deduction: A Proof-Theoretical Study. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Natural Deduction: A Proof-Theoretical Study.

About Natural Deduction: A Proof-Theoretical Study

This paper, published in 1965, received 545 indexed citations . Written by Dag Prawitz. It is primarily cited by scholars working on Artificial Intelligence (484 citations), Computational Theory and Mathematics (303 citations), Experimental and Cognitive Psychology (67 citations), Computer Networks and Communications (39 citations) and Philosophy (35 citations). Published in Medical Entomology and Zoology.

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.

This paper is also available at doi.org/w59050983.

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