Ranking scientific publications considering the aging characteristics of citations

Yanan Wang, An Zeng (), Ying Fan () and Zengru Di
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Yanan Wang: Beijing Normal University
An Zeng: Beijing Normal University
Ying Fan: Beijing Normal University
Zengru Di: Beijing Normal University

Scientometrics, 2019, vol. 120, issue 1, No 8, 155-166

Abstract: Abstract Ranking the significance of scientific publications has been a challenging topic for a long time. So far, many ranking methods have been proposed, one of which is the well-known PageRank algorithm. In this paper, we introduce aging characteristics to the PageRank algorithm via considering only the first 10 year citations when aggregating resource from different nodes. The validation of our new method is performed on the data of American Physical Society journals. The results indicate that taking into account aging characteristics improves the performance of the PageRank algorithm in terms of ranking accuracy for both papers and authors. Though our method is only applied to citation networks in this paper, it can be naturally used in many other real systems and similar improvements are expected.

Keywords: PageRank; Citation network; Time bias; Milestone papers; Scholars (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (9)

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DOI: 10.1007/s11192-019-03117-9

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