Concurrency and Computation Practice and Experience

5.8k papers and 44.7k indexed citations i.

About

The 5.8k papers published in Concurrency and Computation Practice and Experience in the last decades have received a total of 44.7k indexed citations. Papers published in Concurrency and Computation Practice and Experience usually cover Computer Networks and Communications (3.1k papers), Information Systems (1.7k papers) and Artificial Intelligence (1.6k papers) specifically the topics of Distributed and Parallel Computing Systems (1.1k papers), Parallel Computing and Optimization Techniques (1.0k papers) and Cloud Computing and Resource Management (837 papers). The most active scholars publishing in Concurrency and Computation Practice and Experience are Rajkumar Buyya, Anton Beloglazov, Manzur Murshed, Douglas Thain, Miron Livny, Todd Tannenbaum, Aytuğ Onan, Jack Dongarra, Jinjun Chen and Brij B. Gupta.

In The Last Decade

Fields of papers published in Concurrency and Computation Practice and Experience

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Concurrency and Computation Practice and Experience. 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 Concurrency and Computation Practice and Experience.

Countries where authors publish in Concurrency and Computation Practice and Experience

Since Specialization
Citations

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