Visually Explaining Publication Ranks in Citation-based Literature Search with PURE Suggest

dc.contributor.author	Beck, Fabian	en_US
dc.contributor.author	Krause, Cedric	en_US
dc.contributor.editor	Krone, Michael	en_US
dc.contributor.editor	Lenti, Simone	en_US
dc.contributor.editor	Schmidt, Johanna	en_US
dc.date.accessioned	2022-06-02T15:29:03Z
dc.date.available	2022-06-02T15:29:03Z
dc.date.issued	2022
dc.identifier.isbn	978-3-03868-185-4
dc.identifier.uri	https://doi.org/10.2312/evp.20221110
dc.identifier.uri	https://diglib.eg.org:443/handle/10.2312/evp20221110
dc.description.abstract	Tracing citation links helps retrieve related publications. While most tools only allow the user to follow the citations of a single publication, some approaches support jointly analyzing the citations of a set of publications. Along similar lines, PURE suggest provides a detailed visual explanation of the ranking of suggested publications. The ranking is based on a score that combines citation numbers with keyword matching and is shown as a glyph for each publication. A citation network component references this glyph and visually embeds it into a timeline and cluster visualization.	en_US
dc.publisher	The Eurographics Association	en_US
dc.rights	Attribution 4.0 International License
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/
dc.title	Visually Explaining Publication Ranks in Citation-based Literature Search with PURE Suggest	en_US
dc.description.seriesinformation	EuroVis 2022 - Posters
dc.description.sectionheaders	Posters
dc.identifier.doi	10.2312/evp.20221110
dc.identifier.pages	19-21
dc.identifier.pages	3 pages

Except where otherwise noted, this item's license is described as Attribution 4.0 International License