Distributed Computing

781 papers and 9.7k indexed citations

About

The 781 papers published in Distributed Computing in the last decades have received a total of 9.7k indexed citations. Papers published in Distributed Computing usually cover Computer Networks and Communications (614 papers), Computational Theory and Mathematics (251 papers) and Artificial Intelligence (158 papers) specifically the topics of Distributed systems and fault tolerance (439 papers), Optimization and Search Problems (234 papers) and Parallel Computing and Optimization Techniques (107 papers). The most active scholars publishing in Distributed Computing are Leslie Lamport, Flaviu Cristian, Friedemann Mattern, William J. Dally, Charles L. Seitz, James Aspnes, Alain J. Martin, Dahlia Malkhi, T Tom Verhoeff and James H. Anderson.

In The Last Decade

Distributed Computing

687 papers receiving 8.7k citations

Fields of papers published in Distributed Computing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Distributed Computing. 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 Distributed Computing.

Countries where authors publish in Distributed Computing

Since Specialization
Citations

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