Visually Explaining Publication Ranks in Citation-based Literature Search with PURE Suggest
Faculty/Professorship: | Information Visualisation |
Author(s): | Beck, Fabian ![]() ![]() |
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 |

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University of Bamberg