Citation Analysis is the process of where the impact or quality of an articles is assessed by counting the number of times the article is mention in others researchers/authors work. Citation analysis involves counting the number of times an articles is cited by other works. That said, there is no single citation analysis tool for collecting cited references. In order to complete a thorough citation analysis you will have to look at multiple databases to find all possible cited references. UK Libraries offers several resources that can be used to identify cited works including Web of Science. Scopus, and Google Scholar.
Web of Science provides citation analysis for articles and authors. Selecting an article will show times cited, how many cited references there are, and Web of Science usage counts. An author can also be selected and the citation network and see H-index, sum of times cited, citing articles, and author position.
Scopus shows author metrics and article metrics using PlumX. The author metrics are H-index, number of citations, and provides a documents and citations trend analysis. PlumX Metrics for articles are number of citations, usage, captures, and social media.
Google Scholar includes a "cited by" feature that takes the user to a page which includes all of the articles that cite the original article.
H-Index is a type of citation analysis. Web of Science uses the H-Index to quantify research output by measuring author productivity and impact.
H-Index = number of papers (h) with a citation number ≥ h.
Example: a scientist with an H-Index of 28 has 28 papers cited at least 28 times.
Allows for direct comparisons within a discipline
Uses a single value to quantify impact
Does not provide an accurate gauge for early-career researchers
Calculated by using only articles that are indexed in Web of Science. If a researcher publishes an article in a journal that is not indexed by Web of Science, the article as well as any citations to it will not be included in the H-Index calculation.
Journal impact reflects the importance of a particular journal by taking into account the number of articles it publishes per year and the number of citations it has per year. Journal impact is informative. Researchers within a field often have a better sense of their disciplines top journals.
Impact Factor Calculation for JCR
A = the number of times articles published in 2017 and 2018 were cited by indexed journals during 2019.
B = the total number of "citable items" published in 2017 and 2018.
A⁄B = 2019 impact factor