Journal Impact Factor

What it is

Journal Impact Factor (JIF) is the mean citation rate for articles published in research journals. JIF is calculated by dividing the number of citations to all document types (as JIF numerator) by the number of articles and reviews (as JIF denominator) published by the journals included in Web of Science Core Collection indexes in the prior 2 years. JIF is reported each year in the Journal Citation Reports published by Clarivate Analytics.

How it works

JIF is a journal-level metric that can be used to: - Compare journals with journals. It doesn’t represent the citation impact of individual articles in the journal. The use of the JIF as an inference tool for individual articles is an example of the ecological fallacy.

  • Compare journals in similar fields. Different research fields have different citation practices. To avoid unfair JIF comparisons, only journals in the same or similar fields should be compared. To compare journals of different fields, some form of field normalization is necessary.

  • Compare journals of large sizes, or any size provided the underlying citation distribution is approximately symmetric. Since citation distributions are often highly skewed (relatively few articles receive most citations, sometimes described as “the long tail”), comparison of journals of very different sizes should be avoided. This is because a blockbuster paper (e.g., a review paper) in a small journal can cause a spike in the JIF and lead to unfair comparisons.

What to keep in mind

The JIF has been published annually since 1975, and an extensive body of literature is available on its characteristics, limitations, and common misunderstandings related to its use. Some of the documented limitations are related to the metric itself, while some are related to the underlying data used to calculate the metric. Some commonly noted limitations of the JIF are as follows:

Learn more

  • Clarivate Analytics. Journal Citation Reports
  • Clarivate Analytics. Adding Early Access content to Journal Citation Reports Choosing a prospective model
  • Seglen, P. O. (1997). Why the impact factor of journals should not be used for evaluating research. BMJ, 314(7079), 497. https://doi.org/10.1136/bmj.314.7079.497
  • Editors, T. Pl. M. (2006). The Impact Factor Game. PLOS Medicine, 3(6), e291. https://doi.org/10.1371/journal.pmed.0030291
  • Waltman L and Traag VA. (2021). Use of the journal impact factor for assessing individual articles: Statistically flawed or not? [version 2; peer review: 2 approved]. F1000Research, 9:366 https://doi.org/10.12688/f1000research.23418.2

Journal Acceptance Rate
Citations, articles

References

Last updated April 2022