Library Guides: Documenting Impact & Increasing Visibility: Citation Metrics

Generating an h-index

How to Calculate an h-index Manually

Finding an h-index in databases
This is a guide page for how to generate an h-index automatically in Web of Science, Scopus & Google Scholar.

Struggling to figure out which metric to use for what? Check out the Metrics Toolkit!!

Metrics Toolkit

Methods

Altmetrics (Wikipedia)
Metrics based on the "buzz" around a publication. It shows other aspects of the impact of a work, such as how many data and knowledge bases refer to it, article views, downloads, or mentions in social media and news media.
Eigenfactor
Eigenfactor ranks journals much as Google ranks websites. It uses data from the Journal Citation Reports (JCR) database as part of creating the Eigenfactor score. It eliminates self-citations and every reference from one article in a journal to another article from the same journal is discounted. This site provides rankings for all the JCR journals as well as references cited by those journals.
Google Scholar Metrics
This tool can be used to see the most heavily cited articles in a specific publication (according to Google Scholar) and to see the median times cited for their articles. This could be helpful for finding median article citation rates for newer journals, proceedings, or other publications that are not covered by Impact Factors.
Hirsch Index a.k.a. h-index
Wikipedia article explaining the basics of the h-index. Shows how to calculate your own h-index. This metric is useful because it discounts the disproportionate weight of highly cited papers or papers that have not yet been cited. For how to generate h-index in Web of Science, Scopus & Google Scholar see the Creating Reports tab.
Impact Factors
Wikipedia entry on impact factors. Gives a nice overview, pros and cons, cautions, etc.
SCImago Journal & Country Rank
This portal includes the journals and country scientific indicators developed from the information contained in the Scopus® database. These indicators could be used to assess and analyze scientific domains, similar to Google PageRank.
Theory and Practise of the g-index
The g-index was introduced as an improvement of the h-index of Hirsch to measure the global citation performance of a set of articles.