ACM Computing Surveys

3.1k papers and 206.6k indexed citations i.

About

The 3.1k papers published in ACM Computing Surveys in the last decades have received a total of 206.6k indexed citations. Papers published in ACM Computing Surveys usually cover Artificial Intelligence (1.3k papers), Computer Networks and Communications (1.1k papers) and Information Systems (767 papers) specifically the topics of Advanced Malware Detection Techniques (227 papers), Distributed systems and fault tolerance (189 papers) and IoT and Edge/Fog Computing (181 papers). The most active scholars publishing in ACM Computing Surveys are Fabrizio Sebastiani, Franz Aurenhammer, M. Narasimha Murty, Patrick J. Flynn, Anil K. Jain, Lisa Gottesfeld Brown, Vipin Kumar, Arindam Banerjee, Varun Chandola and Gregor Kiczales.

In The Last Decade

Fields of papers published in ACM Computing Surveys

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in ACM Computing Surveys. 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 Computing Surveys.

Countries where authors publish in ACM Computing Surveys

Since Specialization
Citations

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