International Journal of Parallel Programming

964 papers and 8.2k indexed citations i.

About

The 964 papers published in International Journal of Parallel Programming in the last decades have received a total of 8.2k indexed citations. Papers published in International Journal of Parallel Programming usually cover Computer Networks and Communications (588 papers), Hardware and Architecture (582 papers) and Artificial Intelligence (214 papers) specifically the topics of Parallel Computing and Optimization Techniques (532 papers), Distributed and Parallel Computing Systems (215 papers) and Advanced Data Storage Technologies (197 papers). The most active scholars publishing in International Journal of Parallel Programming are Paul Feautrier, Vaughan Pratt, Michael Wolfe, V. Nageshwara Rao, B. Ramakrishna Rau, Farookh Khadeer Hussain, Gaurav Sharma, Eugene D. Brooks, Fahimeh Ramezani and Jie Lü.

In The Last Decade

Fields of papers published in International Journal of Parallel Programming

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in International Journal of Parallel Programming. 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 International Journal of Parallel Programming.

Countries where authors publish in International Journal of Parallel Programming

Since Specialization
Citations

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