The Journal of Supercomputing

6.7k papers and 57.7k indexed citations i.

About

The 6.7k papers published in The Journal of Supercomputing in the last decades have received a total of 57.7k indexed citations. Papers published in The Journal of Supercomputing usually cover Computer Networks and Communications (3.3k papers), Artificial Intelligence (1.8k papers) and Information Systems (1.7k papers) specifically the topics of Parallel Computing and Optimization Techniques (1.0k papers), Cloud Computing and Resource Management (922 papers) and Distributed and Parallel Computing Systems (744 papers). The most active scholars publishing in The Journal of Supercomputing are Bo Shen, Jiankai Xue, Samee U. Khan, Jong Hyuk Park, Laith Abualigah, Albert Y. Zomaya, Ahamad Tajudin Khader, Young Choon Lee, Hakima Chaouchi and Kamal Deep Singh.

In The Last Decade

Fields of papers published in The Journal of Supercomputing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in The Journal of Supercomputing. 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 The Journal of Supercomputing.

Countries where authors publish in The Journal of Supercomputing

Since Specialization
Citations

This map shows the geographic impact of research published in The Journal of Supercomputing. 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 The Journal of Supercomputing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites The Journal of Supercomputing 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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2025