Finding Scientific Gems with Google
arXiv:physics/0604130 · doi:10.1016/j.joi.2006.06.001
Abstract
We apply the Google PageRank algorithm to assess the relative importance of all publications in the Physical Review family of journals from 1893--2003. While the Google number and the number of citations for each publication are positively correlated, outliers from this linear relation identify some exceptional papers or "gems" that are universally familiar to physicists.
6 pages, 4 figures, 2 tables, 2-column revtex4 format
References in corpus (3)
Cited by in corpus (15)
- Leaders in Social Networks, the Delicious Case
- A principal component analysis of 39 scientific impact measures
- Diffusion of scientific credits and the ranking of scientists
- Who is the best player ever? A complex network analysis of the history of professional tennis
- Communities, Knowledge Creation, and Information Diffusion
- Promise and Pitfalls of Extending Google's PageRank Algorithm to Citation Networks
- Weighted citation: An indicator of an article's prestige
- Delocalization transition for the Google matrix
- Determining factors behind the PageRank log-log plot
- Impact of hierarchical modular structure on ranking of individual nodes in directed networks
- Grammar-Based Random Walkers in Semantic Networks
- Use of Astronomical Literature - A Report on Usage Patterns
- A recursive field-normalized bibliometric performance indicator: An application to the field of library and information science
- Applying weighted PageRank to author citation networks
- Discovering author impact: A PageRank perspective