Exploring application domains for computational creativity
Ashish Jagmohan, Ying Li, et al.
ICCC 2014
The lack of predictability of citation-based measures frequently used to gauge impact, from impact factors to short-term citations, raises a fundamental question: Is there long-term predictability in citation patterns? Here, we derive a mechanistic model for the citation dynamics of individual papers, allowing us to collapse the citation histories of papers from different journals and disciplines into a single curve, indicating that all papers tend to follow the same universal temporal pattern. The observed patterns not only help us uncover basic mechanisms that govern scientific impact but also offer reliable measures of influence that may have potential policy implications.
Ashish Jagmohan, Ying Li, et al.
ICCC 2014
Liang Gao, Chaoming Song, et al.
Scientific Reports
Albert-László Barabási
Computational Materials Science
Pierre Deville, Dashun Wang, et al.
Scientific Reports