Distributed and Parallel Databases

573 papers and 7.5k indexed citations i.

About

The 573 papers published in Distributed and Parallel Databases in the last decades have received a total of 7.5k indexed citations. Papers published in Distributed and Parallel Databases usually cover Computer Networks and Communications (387 papers), Information Systems (199 papers) and Artificial Intelligence (185 papers) specifically the topics of Advanced Database Systems and Queries (166 papers), Data Management and Algorithms (165 papers) and Distributed systems and fault tolerance (114 papers). The most active scholars publishing in Distributed and Parallel Databases are Wil M. P. van der Aalst, Arthur H. M. ter Hofstede, Amit Sheth, Alistair Barros, Bartek Kiepuszewski, Krithi Ramamritham, Dimitrios Georgakopoulos, Mark F. Hornick, Patrick Valduriez and Schahram Dustdar.

In The Last Decade

Fields of papers published in Distributed and Parallel Databases

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Distributed and Parallel Databases. 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 and Parallel Databases.

Countries where authors publish in Distributed and Parallel Databases

Since Specialization
Citations

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