This is a Snowball Metric. Learn more about Snowball Metrics.
The h-index attempts to measure both the productivity and impact of the published work. The h-index is not a static value; it is calculated each time you look it up. Each database will produce a different h index due to differing content (coverage and date ranges) being used.
The h-index expresses the number of articles (h) that have received at least h citations. For example, if an author has 12 papers in a particular database that have each been cited at least 12 times, the h-index will be 12. If an author has one paper that has been cited 12 times, the h-index will be 1. The higher the h-index the better.
The h-index is influence both by quantity (Scholarly Output) and publication impact (Citation Count). Originally conceived as a useful reflection of a researcher’s accumulated career, it is represented by a single number which stays the same or increases with time – it cannot go down.
The h-index metric is useful to benchmark activity in a way that relies on the balance between two fundamental aspects of performance – productivity and citation impact.
The boxes below provide specific instructions for each of these.
Connect to Scopus
When you get to the main Scopus search screen:
7. Or you can click on View citation overview to see your citation stats and link to the h-index graph
Connect to Web of Science
When you get to the main search screen:
Open Google Scholar
3. Click on this link, and the profile will be displayed.
Note: this relies on an existing Google Scholar My Citations profile being set up. If you are looking for yourself and haven't yet set up a profile, follow the directions here.
Open the Publish-or-Perish program: