An author's impact on their field or discipline has traditionally been measured using the number of times their academic publications are cited by other researchers. There are numerous algorithms that account for such things as the recency of the publication, or poorly or highly cited papers. While citation metrics may reflect the impact or research in a field, there a many potential biases with these measurements and they should be used with care.
h-index, proposed by J.E. Hirsch in a 2005 article, is the most widely used research metric.[1] It measures the productivity and impact of an author's scholarly output. Tools for calculating your h-index include Web of Science and Google Scholar.
g-index, proposed by Leo Egghe in his paper Theory and practice of the g-index, 2006, as an improvement to the h-index. The g-index gives more weight to highly-cited articles.
To calculate the g-index:
The i10-index, a metric used by Google Scholar, is the number of publications with at least 10 citations for all of the citations listed in your profile. This is a very simple metric to calculate but it is only available in Google Scholar.
In the example below, the Google Scholar profile page shows both the h-index and i10-index.