Communications of the ACM

11.8k papers and 517.0k indexed citations i.

About

The 11.8k papers published in Communications of the ACM in the last decades have received a total of 517.0k indexed citations. Papers published in Communications of the ACM usually cover Artificial Intelligence (2.7k papers), Information Systems (2.2k papers) and Computer Networks and Communications (2.2k papers) specifically the topics of Parallel Computing and Optimization Techniques (611 papers), Algorithms and Data Compression (528 papers) and Software Engineering Research (493 papers). The most active scholars publishing in Communications of the ACM are Geoffrey E. Hinton, Alex Krizhevsky, Ilya Sutskever, Adi Shamir, C. A. R. Hoare, Martin A. Fischler, Robert C. Bolles, George A. Miller, Leslie Lamport and Peter J. Denning.

In The Last Decade

Fields of papers published in Communications of the ACM

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Communications of the ACM. 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 Communications of the ACM.

Countries where authors publish in Communications of the ACM

Since Specialization
Citations

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