This is a Snowball Metric. For more information on Snowball Metrics, click here.
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
The boxes below provide specific instructions for each of these.
Connect to Scopus
When you get to the main Scopus 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:
The Library, Technological University of the Shannon: Midwest