The Fourth Paradigm: Data-Intensive Scientific Discovery

959 indexed citations

Abstract

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This paper, published in 2009, received 959 indexed citations. Written by Iain Buchan, John Winn and Chris Bishop covering the research area of Molecular Biology, Information Systems and Management and Information Systems. It is primarily cited by scholars working on Information Systems (301 citations), Information Systems and Management (296 citations) and Computer Networks and Communications (194 citations). Published in .

In The Last Decade

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Countries where authors are citing The Fourth Paradigm: Data-Intensive Scientific Discovery

Specialization
Citations

This map shows the geographic impact of The Fourth Paradigm: Data-Intensive Scientific Discovery. 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 The Fourth Paradigm: Data-Intensive Scientific Discovery with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites The Fourth Paradigm: Data-Intensive Scientific Discovery more than expected).

Fields of papers citing The Fourth Paradigm: Data-Intensive Scientific Discovery

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of The Fourth Paradigm: Data-Intensive Scientific Discovery. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the The Fourth Paradigm: Data-Intensive Scientific Discovery.

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/w60895356.

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