Assessing impact and quality from local dynamics of citation networks
Camille Roth,
Jiang Wu and
Sergi Lozano
Journal of Informetrics, 2012, vol. 6, issue 1, 111-120
Abstract:
We show that essentially local dynamics of citation networks bring special information about the relevance/quality of a paper. Up to some rescaling, they exhibit universal behavior in citation dynamics: temporal patterns are remarkably consistent across disciplines, and uncover a prediction method for citations based on the structure of references only, at publication time. Above-average cited papers universally focus extensively on their own recent subfield – as such, citation counts essentially select what may plausibly be considered as the most disciplinary and normal science; whereas papers which have a peculiar dynamics, such as re-birthing scientific works – ‘rediscovered classics’ or ‘early birds’ – are comparatively poorly cited, despite their plausible relevance for the underlying communities. The “rebirth index” that we propose to quantify this phenomenon may be used as a complementary quality-defining criterion, in addition to final citation counts.
Keywords: Citation networks; Bibliometrics; Qualitative assessment; Citation dynamics (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1751157711000770
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:infome:v:6:y:2012:i:1:p:111-120
DOI: 10.1016/j.joi.2011.08.005
Access Statistics for this article
Journal of Informetrics is currently edited by Leo Egghe
More articles in Journal of Informetrics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().