A further step forward in measuring journals' scientific prestige: The SJR2 indicator
By Vicente P. Guerrero-Bote, Félix de Moya-Anegón. J. Informetrics, 2012
377 citations recorded by the source corpus.
A new size-independent indicator of scientific journal prestige, the SJR2 indicator, is proposed. This indicator takes into account not only the prestige of the citing scientific journal but also its closeness to the cited journal using the cosine of the angle between the vectors of the two journals’ cocitation profiles. To eliminate the size effect, the accumulated prestige is divided by the fraction of the journal's citable documents, thus eliminating the decreasing tendency of this type of indicator and giving meaning to the scores. Its method of computation is described, and the results of its implementation on the Scopus 2008 dataset is compared with those of an ad hoc Journal Impact Factor, JIF(3y), and SNIP, the comparison being made both overall and within specific scientific areas. All three, the SJR2 indicator, the SNIP indicator and the JIF distributions, were found to fit well to a logarithmic law. Although the three metrics were strongly correlated, there were major changes in rank. In addition, the SJR2 was distributed more equalized than the JIF by Subject Area and almost as equalized as the SNIP, and better than both at the lower level of Specific Subject Areas. The incorporation of the cosine increased the values of the flows of prestige between thematically close journals.
Subfields: Artificial Intelligence, General Social Sciences, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/890dfcbae0162afdd40d721201fa0296ca73d435
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Joseph P. Vitta
- Ali H. Al-Hoorie
- Loet Leydesdorff
- Ludo Waltman
- John C. Mingers
- H. Eugene Stanley
- Nees Jan van Eck
- Raminta Pranckute
In General Social Sciences
In Statistics and Probability
- Ludo Waltman
- Ali H. Al-Hoorie
- Joseph P. Vitta
- An Zeng
- Jianlin Zhou
- Jinshan Wu
- Yougui Wang
- Zhesi Shen
Citations in the corpus
- The science of science: from the perspective of complex systems (2017, background): “One of the most commonly analyzed types of networks is citation networks between journals [97].”
- The seven sins of L2 research: A review of 30 journals’ statistical quality and their CiteScore, SJR, SNIP, JCR Impact Factors (2019, methodology): “The weighting uses the PageRank algorithm (Guerrero-Bote & Moya-Anegón, 2012).”
- A review of theory and practice in scientometrics (2015, methodology): “A further development of the SJR indicator has been produced (Guerrero-Bote & Moya-Anegón, 2012) with the refinement that, in weighting the citations according to the prestige of the citing journal, the relatedness of the two journals is also taken into account.”
- A review of the literature on citation impact indicators (2015, background): “The Journal Citation Reports include the eigenfactor and article influence indicators (Bergstrom, 2007; West et al., 2010a), while Scopus includes the SCImago journal rank (SJR) indicator (González-Pereira et al., 2010; Guerrero-Bote & Moya-Anegón, 2012).”