ACM SIGPLAN Notices

8.1k papers and 68.7k indexed citations i.

About

The 8.1k papers published in ACM SIGPLAN Notices in the last decades have received a total of 68.7k indexed citations. Papers published in ACM SIGPLAN Notices usually cover Artificial Intelligence (4.3k papers), Hardware and Architecture (3.8k papers) and Computer Networks and Communications (3.3k papers) specifically the topics of Parallel Computing and Optimization Techniques (3.5k papers), Logic, programming, and type systems (2.9k papers) and Distributed systems and fault tolerance (1.3k papers). The most active scholars publishing in ACM SIGPLAN Notices are Monica S. Lam, Brian Randell, Patrice Godefroid, Sumit Gulwani, Alex Aiken, David Culler, Gregory J. Chaitin, Koushik Sen, Barbara Liskov and Rex Jaeschke.

In The Last Decade

Fields of papers published in ACM SIGPLAN Notices

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in ACM SIGPLAN Notices. 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 SIGPLAN Notices.

Countries where authors publish in ACM SIGPLAN Notices

Since Specialization
Citations

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