Queue

741 papers and 6.8k indexed citations

About

The 741 papers published in Queue in the last decades have received a total of 6.8k indexed citations. Papers published in Queue usually cover Computer Networks and Communications (285 papers), Information Systems (231 papers) and Artificial Intelligence (104 papers) specifically the topics of Parallel Computing and Optimization Techniques (78 papers), Software System Performance and Reliability (71 papers) and Cloud Computing and Resource Management (71 papers). The most active scholars publishing in Queue are Ian Buck, Michael Garland, Kevin Skadron, John Nickolls, Werner Vogels, Kathleen Nichols, Van Jacobson, Luiz André Barroso, Mache Creeger and Michi Henning.

In The Last Decade

Queue

430 papers receiving 5.5k citations

Fields of papers published in Queue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Queue. 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 Queue.

Countries where authors publish in Queue

Since Specialization
Citations

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

Explore journals with similar magnitude of impact

Rankless by CCL
2026