Proceedings of the International Conference on Very Large Data Bases

521 indexed citations
published 1975
Journal
Association for Computing Machinery eBooks

In The Last Decade

doi.org/w9241850 →

Countries where authors are citing Proceedings of the International Conference on Very Large Data Bases

Specialization
Citations

This map shows the geographic impact of Proceedings of the International Conference on Very Large Data Bases. 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 Proceedings of the International Conference on Very Large Data Bases with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Proceedings of the International Conference on Very Large Data Bases more than expected).

Fields of papers citing Proceedings of the International Conference on Very Large Data Bases

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Proceedings of the International Conference on Very Large Data Bases. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Proceedings of the International Conference on Very Large Data Bases.

About Proceedings of the International Conference on Very Large Data Bases

This paper, published in 1975, received 521 indexed citations . Written by Douglas S. Kerr covering the research area of Computer Networks and Communications. It is primarily cited by scholars working on Computer Networks and Communications (260 citations), Artificial Intelligence (244 citations) and Signal Processing (196 citations). Published in Association for Computing Machinery eBooks.

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/w9241850.

Explore hit-papers with similar magnitude of impact

Rankless by CCL
2026