Google Scholar Metrics is an easy way to see the impact of an article based on its "h-index". It gives the ability to search for journal articles by topic, and view which articles are cited the most. It also lets authors see the use of their articles as citations, and recognize which journals are most cited.
To get started, you can browse the top 100 publications in several languages, ordered by their five-year h-index and h-median metrics. To see which articles in a publication were cited the most and who cited them, click on its h-index number to view the articles as well as the citations underlying the metrics.also gives authors the ability to see the use of their articles as citations, and recognize which journals are the most cited.
Source: scholar.google.com
Google Scholar Metrics uses three different processes to show the impact of each separate article.
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.
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. It also the most widely used and is further explained in the video below.
Source:scholar.google.com
