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IEEE Computer Graphics and Applications
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IEEE Computer Graphics and Applications
Article . 2018 . Peer-reviewed
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IEEE Computer Graphics and Applications
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Visualization and the Digital Humanities:

descriptionPublicationkeyboard_double_arrow_right Article 01 Nov 2018Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:IEEE Computer Graphics and Applications, volume 38, pages 26-38 (issn: 0272-1716, eissn: 1558-1756, Copyright policy )
Authors: Stefan Jänicke; Katharine Coles; Adam James Bradley; Mennatallah El-Assady; Christopher Collins; Min Chen; Eric Alexander; +1 Authors

doi: 10.1109/mcg.2018.2878900

pmid: 30668453

Visualization and the Digital Humanities:

Abstract

For the past two years, researchers from the visualization community and the digital humanities have come together at the IEEE VIS conference to discuss how both disciplines can work together to push research goals in their respective disciplines. In this paper, we present our experiences as a result of this collaboration.

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
33
Top 10%
Top 10%
Top 10%
hybrid
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