Learning to Predict Citation-Based Impact Measures

JCDL, pp. 49-58, 2017.

Cited by: 5|Bibtex|Views36
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Other Links: dblp.uni-trier.de|academic.microsoft.com|dl.acm.org

Abstract:

Citations implicitly encode a community's judgment of a paper's importance and thus provide a unique signal by which to study scientific impact. Efforts in understanding and refining this signal are reflected in the probabilistic modeling of citation networks and the proliferation of citation-based impact measures such as Hirsch's h-index...More

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