ACM Transactions on Computational Logic

573 papers and 6.5k indexed citations

About

The 573 papers published in ACM Transactions on Computational Logic in the last decades have received a total of 6.5k indexed citations. Papers published in ACM Transactions on Computational Logic usually cover Artificial Intelligence (486 papers), Computational Theory and Mathematics (398 papers) and Computer Networks and Communications (97 papers) specifically the topics of Logic, Reasoning, and Knowledge (324 papers), Logic, programming, and type systems (323 papers) and Formal Methods in Verification (251 papers). The most active scholars publishing in ACM Transactions on Computational Logic are Yuri Gurevich, Vladimir Lifschitz, Thomas Eiter, Alessio Guglielmi, Georg Gottlob, Marek Sergot, Dexter Kozen, David Pearce, Agustín Valverde and Thomas Lukasiewicz.

In The Last Decade

ACM Transactions on Computational Logic

502 papers receiving 6.1k citations

Fields of papers published in ACM Transactions on Computational Logic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in ACM Transactions on Computational 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 ACM Transactions on Computational Logic.

Countries where authors publish in ACM Transactions on Computational Logic

Since Specialization
Citations

This map shows the geographic impact of research published in ACM Transactions on Computational 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 ACM Transactions on Computational Logic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites ACM Transactions on Computational 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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