Journal of Symbolic Logic

5.6k papers and 59.1k indexed citations i.

About

The 5.6k papers published in Journal of Symbolic Logic in the last decades have received a total of 59.1k indexed citations. Papers published in Journal of Symbolic Logic usually cover Computational Theory and Mathematics (3.7k papers), Geometry and Topology (2.4k papers) and Artificial Intelligence (1.9k papers) specifically the topics of Advanced Topology and Set Theory (2.2k papers), Computability, Logic, AI Algorithms (2.1k papers) and Advanced Algebra and Logic (1.5k papers). The most active scholars publishing in Journal of Symbolic Logic are Saharon Shelah, Solomon Feferman, William Craig, G. Kreisel, Alonzo Church, William A. Howard, David Makinson, William C. Schutz, Peter Gärdenfors and Carlos E. Alchourrón.

In The Last Decade

Fields of papers published in Journal of Symbolic Logic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Symbolic Logic. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Journal of Symbolic Logic.

Countries where authors publish in Journal of Symbolic Logic

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of Symbolic Logic. 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 papers published in Journal of Symbolic Logic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Journal of Symbolic Logic more than expected).

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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