Proceedings of the ACM on Programming Languages

1.6k papers and 9.2k indexed citations
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About

The 1.6k papers published in Proceedings of the ACM on Programming Languages in the last decades have received a total of 9.2k indexed citations. Papers published in Proceedings of the ACM on Programming Languages usually cover Artificial Intelligence (1.2k papers), Computational Theory and Mathematics (603 papers) and Hardware and Architecture (451 papers) specifically the topics of Logic, programming, and type systems (817 papers), Formal Methods in Verification (507 papers) and Parallel Computing and Optimization Techniques (418 papers). The most active scholars publishing in Proceedings of the ACM on Programming Languages are Derek Dreyer, Robbert Krebbers, Michael Pradel, Işıl Dillig, Koushik Sen, Martin Vechev, Peter W. O’Hearn, Lars Birkedal, Conal Elliott and Yannis Smaragdakis.

In The Last Decade

Proceedings of the ACM on Programming Languages

1.3k papers receiving 9.0k citations

Fields of papers published in Proceedings of the ACM on Programming Languages

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Proceedings of the ACM on Programming Languages. 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 Proceedings of the ACM on Programming Languages.

Countries where authors publish in Proceedings of the ACM on Programming Languages

Since Specialization
Citations

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