Proceedings of the ACM on Programming Languages

1.6k papers and 10.9k indexed citations i.

About

The 1.6k papers published in Proceedings of the ACM on Programming Languages in the last decades have received a total of 10.9k indexed citations. Papers published in Proceedings of the ACM on Programming Languages usually cover Artificial Intelligence (1.2k papers), Computational Theory and Mathematics (597 papers) and Hardware and Architecture (439 papers) specifically the topics of Logic, programming, and type systems (834 papers), Formal Methods in Verification (504 papers) and Parallel Computing and Optimization Techniques (412 papers). The most active scholars publishing in Proceedings of the ACM on Programming Languages are Eran Yahav, Uri Alon, Omer Levy, Meital Zilberstein, Michael Pradel, Koushik Sen, Derek Dreyer, Işıl Dillig, Robbert Krebbers and Martin Vechev.

In The Last Decade

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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