Search for evergreens in science: A functional data analysis

Volume: 11, Issue: 3, Pages: 629 - 644
Published: Aug 1, 2017
Abstract
Evergreens in science are papers that display a continual rise in annual citations without decline, at least within a sufficiently long time period. Aiming to better understand evergreens in particular and patterns of citation trajectory in general, this paper develops a functional data analysis method to cluster citation trajectories of a sample of 1699 research papers published in 1980 in the American Physical Society (APS) journals. We...
Paper Details
Title
Search for evergreens in science: A functional data analysis
Published Date
Aug 1, 2017
Volume
11
Issue
3
Pages
629 - 644
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.