The Research Group is Moving!

During winter term 2021/22, we move to University of Bamberg. From Oct. 15, 2021, Fabian Beck holds a full professor position on Information Visualization.

New webpage of the research group: https://www.uni-bamberg.de/vis

Publications

Publications of the research group since 2016. For earlier publications, please visit Fabian Beck's Google Scholar or DBLP profile.

Visual Analysis and Dissemination of Scientific Literature Collections with SurVis

Type of Publication: Article in Journal

Visual Analysis and Dissemination of Scientific Literature Collections with SurVis

Author(s):
Beck, Fabian; Koch, Sebastian; Weiskopf, Daniel
Title of Journal:
IEEE Transactions on Visualization and Computer Graphics
Volume (Publication Date):
22 (2016)
Number of Issue:
1
pages:
180-189
Digital Object Identifier (DOI):
doi:10.1109/TVCG.2015.2467757
Fulltext:
Visual Analysis and Dissemination of Scientific Literature Collections with SurVis (1.21 MB)
Citation:
Download BibTeX

Abstract

Bibliographic data such as collections of scientific articles and citation networks have been studied extensively in information visualization and visual analytics research. Powerful systems have been built to support various types of bibliographic analysis, but they require some training and cannot be used to disseminate the insights gained. In contrast, we focused on developing a more accessible visual analytics system, called SurVis, that is ready to disseminate a carefully surveyed literature collection. The authors of a survey may use our Web-based system to structure and analyze their literature database. Later, readers of the survey can obtain an overview, quickly retrieve specific publications, and reproduce or extend the original bibliographic analysis. Our system employs a set of selectors that enable users to filter and browse the literature collection as well as to control interactive visualizations. The versatile selector concept includes selectors for textual search, filtering by keywords and meta-information, selection and clustering of similar publications, and following citation links. Agreement to the selector is represented by word-sized sparkline visualizations seamlessly integrated into the user interface. Based on an analysis of the analytical reasoning process, we derived requirements for the system. We developed the system in a formative way involving other researchers writing literature surveys. A questionnaire study with 14 visual analytics experts confirms that SurVis meets the initially formulated requirements.