CSET Map of Science

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.

Our Map of Science is shown below. Once it has loaded, you can filter the visible research clusters (click on "More Filters" to see more options). Cluster proximity represents the strength of the citation links between clusters. The default cluster size is based on the number of papers published in the last five years, and unless otherwise indicated all filter metrics are also based on the papers published during that period. Hovering over a cluster will show you some summary information about that cluster, and clicking on a cluster will take you to a details page with much more information, such as prominent authors, papers, and funders based on the last five years of publications. Use the graph toolbar to switch between pan and zoom.

Contributors to the Map of Science include Ilya Rahkovsky, Jennifer Melot, Autumn Toney, Sara Abdulla, James Dunham, Daniel Chou, Rebecca Gelles, Catherine Aiken, and Dewey Murdick, and the clustering approach was based on a method developed by SciTech Strategies. The contributors would like to thank Ashwin Acharya, Helen Toner, Zachary Arnold, Igor Mikolic-Torreira, Patrick Lee, Bryan Ware and others at Next5, and Avital Percher for their advice and feedback. It was last updated on 2022-06-27, and we intend to update it quarterly going forward. Please contact us with any questions, corrections, or suggestions.

Most common subject area:
Biology
Chemistry
Computer Science
Earth Science
Engineering
Humanities
Materials Science
Mathematics
Medicine
Physics
Social Science
Hover over a cluster to see summary metadata. Click on the cluster to view detailed metadata and percentage of papers used to calculate cluster metrics. Most metrics are computed over papers published in the last 5 years.
The Map of Science may be used solely for non-commercial research purposes and may not be downloaded, copied, or extracted using web scrapers or other automated or semi-automated means. The Map of Science contains metrics derived from data provided by third parties including Clarivate Analytics and East View Information Services, as well as data sourced from Dimensions, an inter-linked research information system provided by Digital Science (http://www.dimensions.ai).