Information and Computation

3.3k papers and 46.1k indexed citations i.

About

The 3.3k papers published in Information and Computation in the last decades have received a total of 46.1k indexed citations. Papers published in Information and Computation usually cover Artificial Intelligence (2.0k papers), Computational Theory and Mathematics (1.9k papers) and Computer Networks and Communications (621 papers) specifically the topics of Logic, programming, and type systems (872 papers), Formal Methods in Verification (772 papers) and semigroups and automata theory (646 papers). The most active scholars publishing in Information and Computation are Yoav Freund, Eugenio Moggi, Manfred K. Warmuth, Dana Angluin, Robin Milner, Bruno Courcelle, David Walker, Joachim Parrow, David Haussler and N. Littlestone.

In The Last Decade

Fields of papers published in Information and Computation

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Information and Computation. 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 Information and Computation.

Countries where authors publish in Information and Computation

Since Specialization
Citations

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