This guide gives a quick background on the topic of Citation Analysis.
All suggestions, additions, or comments to this library guide are welcome.
Some commonly used terms in citation analysis:
- articles that the original article cites
- articles that cite the original article
- The journal Impact Factor is the average number of times articles published in a journal in the past two years have been cited
- Measures the productivity and citation impact of the published work of a researcher, scientist or scholar
- h-index (or Hirsch index) =
where = no. of papers with or more citations
- Self-citations refer to cited references that contain an author name that matches the name of the author of a citing article.
The starting point of all citation analysis studies is to count the number of times an article or author is cited in the scientific literature. On the general assumption that the number of citations reflects an article's influence, and therefore quality.
Wade, N. (1975). Citation Analysis: A New Tool for Science Administrators.
Science, 188(4187), 429-432: 429
Citation analysis essentially involves counting the number of times a scientific paper or scientist is cited, and it works on the assumption that influential scientists and important works will be cited more frequently than others.
Meho, L. I. (2007). The rise and rise of citation analysis.
Physics World, 20(1), 32-36: 32
It is important to note that as with numbers and statistics, it is often easy to manipulate citation count to show greater impact. Some ways where citations can be artificially inflated include negative citations (pointing out fraudulent research or incorrect results), cronyism (friends/colleagues citing each other), ceremonial citation, self-citation (citing one's own works) and being part of a citation cartel or "citation stacking", where groups of editors and journals work together to increase their impact factor.