CSET is excited to present the Map of Science user interface. Using a merged corpus of more than 260 million scientific documents…
The CSET Map of Science is a map of scholarly literature constructed by clustering research publications and organizing research clusters (RCs) based on citation linkages. This map can be used for a range of analytic tasks (see our data snapshot series for some example analyses). The publications in the map are drawn from a set of merged scholarly literature we have constructed from Microsoft Academic Graph, Clarivate Web of Science, the Chinese National Knowledge Infrastructure, Dimensions Digital Science, arXiv, and Papers with Code. Our corpus covers all years of each of these sources with the exception of papers published before 2000 in Clarivate Web of Science and papers published before 2005 in the Chinese National Knowledge Infrastructure. The Microsoft Academic Graph project will be discontinued at the end of 2021. We clustered the merged dataset into ~100,000 research clusters and mapped the clusters based on shared citations.
For more information on our methodology, see sections 2.1 and 2.2 in this research paper.
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