Name
Abstract | ||
|---|---|---|
•We introduce TimeRank: a dynamic rating method which accounts for popularity, prestige and timing using citations among authors.•TimeRank gives a premium to authors that are cited by higher-rated authors against the odds, at the time of the citation.•TimeRank is useful when for capturing relevant information regarding the timing of an author's recognition is relevant, such as to detect rising stars.•The method is shown to be sensible to time and consistent under an appropriate choice of parameters.•We apply the method to the bibliometrics community, and show it performs differently and as intended with respect to alternatives as the total number of received citations, PageRank and the h-index. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.joi.2017.09.003 | Journal of Informetrics |
Keywords | Field | DocType |
Dynamic networks,Citation timing,Ranking of scholars,Bibliometric indicators,Elo system | Data mining,Computer science,Rating system,Citation,Popularity,Prestige,Bibliometrics | Journal |
Volume | Issue | ISSN |
11 | 4 | 1751-1577 |
Citations | PageRank | References |
1 | 0.34 | 24 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Massimo Franceschet | 1 | 658 | 39.91 |
| Giovanni Colavizza | 2 | 28 | 7.10 |