Logical Methods in Computer Science

773 papers and 4.1k indexed citations
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About

The 773 papers published in Logical Methods in Computer Science in the last decades have received a total of 4.1k indexed citations. Papers published in Logical Methods in Computer Science usually cover Artificial Intelligence (589 papers), Computational Theory and Mathematics (580 papers) and Computer Networks and Communications (111 papers) specifically the topics of Logic, programming, and type systems (446 papers), Formal Methods in Verification (327 papers) and Logic, Reasoning, and Knowledge (280 papers). The most active scholars publishing in Logical Methods in Computer Science are Venanzio Capretta, Matija Pretnar, Sam Staton, Peter Selinger, Gordon Plotkin, Marcello Bonsangue, Nir Piterman, Leonid Libkin, Matthew Hennessy and Filippo Bonchi.

In The Last Decade

Logical Methods in Computer Science

632 papers receiving 3.8k citations

Fields of papers published in Logical Methods in Computer Science

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Logical Methods in Computer Science. 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 Logical Methods in Computer Science.

Countries where authors publish in Logical Methods in Computer Science

Since Specialization
Citations

This map shows the geographic impact of research published in Logical Methods in Computer Science. 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 Logical Methods in Computer Science with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Logical Methods in Computer Science 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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