ACM SIGMETRICS Performance Evaluation Review

2.6k papers and 23.1k indexed citations i.

About

The 2.6k papers published in ACM SIGMETRICS Performance Evaluation Review in the last decades have received a total of 23.1k indexed citations. Papers published in ACM SIGMETRICS Performance Evaluation Review usually cover Computer Networks and Communications (1.9k papers), Electrical and Electronic Engineering (617 papers) and Management Information Systems (559 papers) specifically the topics of Advanced Queuing Theory Analysis (520 papers), Network Traffic and Congestion Control (471 papers) and Parallel Computing and Optimization Techniques (409 papers). The most active scholars publishing in ACM SIGMETRICS Performance Evaluation Review are Mark Crovella, Harry G. Perros, Martin Arlitt, Tai Jin, Adam Wierman, Shan Suthaharan, Carey Williamson, Marco Ajmone Marsan, David Mosberger and Paul Barford.

In The Last Decade

Fields of papers published in ACM SIGMETRICS Performance Evaluation Review

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in ACM SIGMETRICS Performance Evaluation Review. 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 SIGMETRICS Performance Evaluation Review.

Countries where authors publish in ACM SIGMETRICS Performance Evaluation Review

Since Specialization
Citations

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