Bulletin of Symbolic Logic

592 papers and 5.1k indexed citations i.

About

The 592 papers published in Bulletin of Symbolic Logic in the last decades have received a total of 5.1k indexed citations. Papers published in Bulletin of Symbolic Logic usually cover Computational Theory and Mathematics (341 papers), Artificial Intelligence (206 papers) and Geometry and Topology (178 papers) specifically the topics of Computability, Logic, AI Algorithms (223 papers), Logic, Reasoning, and Knowledge (156 papers) and Advanced Topology and Set Theory (146 papers). The most active scholars publishing in Bulletin of Symbolic Logic are Sergei Artëmov, Robert I. Soare, David Pym, Peter W. O’Hearn, Nathan Segerlind, Alasdair Urquhart, Vladimir Pestov, Akihiro Kanamori, Jouko Väänánen and André Nies.

In The Last Decade

Fields of papers published in Bulletin of Symbolic Logic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Bulletin 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 Bulletin of Symbolic Logic.

Countries where authors publish in Bulletin of Symbolic Logic

Since Specialization
Citations

This map shows the geographic impact of research published in Bulletin 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 Bulletin 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 Bulletin 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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