C-store: a column-oriented DBMS

591 indexed citations
published 2005

Countries where authors are citing C-store: a column-oriented DBMS

Specialization
Citations

This map shows the geographic impact of C-store: a column-oriented DBMS. 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 C-store: a column-oriented DBMS with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C-store: a column-oriented DBMS more than expected).

Fields of papers citing C-store: a column-oriented DBMS

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of C-store: a column-oriented DBMS. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the C-store: a column-oriented DBMS.

About C-store: a column-oriented DBMS

This paper, published in 2005, received 591 indexed citations . Written by Mike Stonebraker, Daniel J. Abadi, Xuedong Chen, Mitch Cherniack, Samuel Madden, Elizabeth O’Neil, Nga Tran and Stan Zdonik covering the research area of Computer Networks and Communications. It is primarily cited by scholars working on Computer Networks and Communications (528 citations), Information Systems (231 citations) and Signal Processing (225 citations).

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.

This paper is also available at doi.org/w42309308.

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