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Phys Rev E Stat Nonlin Soft Matter Phys. 2009 Nov;80(5 Pt 2):056103. Epub 2009 Nov 11.

Diffusion of scientific credits and the ranking of scientists.

Author information

1
Complex Networks and Systems, Institute for Scientific Interchange, Torino, Italy.

Abstract

Recently, the abundance of digital data is enabling the implementation of graph-based ranking algorithms that provide system level analysis for ranking publications and authors. Here, we take advantage of the entire Physical Review publication archive (1893-2006) to construct authors' networks where weighted edges, as measured from opportunely normalized citation counts, define a proxy for the mechanism of scientific credit transfer. On this network, we define a ranking method based on a diffusion algorithm that mimics the spreading of scientific credits on the network. We compare the results obtained with our algorithm with those obtained by local measures such as the citation count and provide a statistical analysis of the assignment of major career awards in the area of physics. A website where the algorithm is made available to perform customized rank analysis can be found at the address http://www.physauthorsrank.org.

PMID:
20365039
DOI:
10.1103/PhysRevE.80.056103
[Indexed for MEDLINE]

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