Journals can also be ranked based on Google Scholar index data. However, this is not the conventional method of ranking journals by research funders in Australia.
Google Scholar Metrics are based on the Google Scholar index. You can browse the top 100 journals in broad subject areas or more specific sub-categories based on the h5-index and the h5-median.
H5-index and h-5 median
These are the h-index and h-median of its articles that were published in the last five complete calendar years
h-core
The articles the h-index is based on is listed with all citations for each h-core article linking directly to the articles
Scholar Metrics include journal articles from websites that follow our inclusion guidelines, selected conference articles in Computer Science & Electrical Engineering and preprints from arXiv and NBER. Publications with fewer than 100 articles in 2011-2015, or publications that received no citations over these years are not included.
Quoted from
https://scholar.googleblog.com/2016/07/2016-scholar-metrics-released_14.html
The h-index of a publication is the largest number h such that at least h articles in that publication were cited at least h times each. For example, a publication with five articles cited by, respectively, 17, 9, 6, 3, and 2, has the h-index of 3.
The h-core of a publication is a set of top cited h articles from the publication. These are the articles that the h-index is based on. For example, the publication above has the h-core with three articles, those cited by 17, 9, and 6.
The h-median of a publication is the median of the citation counts in its h-core. For example, the h-median of the publication above is 9. The h-median is a measure of the distribution of citations to the articles in the h-core.
Finally, the h5-index, h5-core, and h5-median of a publication are, respectively, the h-index, h-core, and h-median of only those of its articles that were published in the last five complete calendar years.