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






Faculty/Professorship: Information Visualisation 
Author(s): Beck, Fabian  ; Krause, Cedric  
Title of the compilation: EuroVis 2022 - Posters
Corporate Body: The Eurographics Association
Conference: 24th EG Conference on Visualization, Rome, 13-17 June 2022
Publisher Information: Rome : The Eurographics Association
Year of publication: 2022
Pages: 1-3
ISBN: 978-3-03868-185-4
Language(s): English
DOI: 10.2312/evp.20221110
URL: https://conferences.eg.org/eurovis2022/
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.
GND Keywords: Literaturrecherche; Quellenangabe; Visualisierung
Keywords: literature search, citation network visualization
DDC Classification: 004 Computer science  
RVK Classification: SK 890   
Peer Reviewed: Ja
International Distribution: Ja
Type: Conferenceobject
URI: https://fis.uni-bamberg.de/handle/uniba/54268
Release Date: 27. June 2022