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Impact factors

Journal impact factors

The journal impact factor is a statistical measure used to rank and evaluate journals.

The impact factor is the average number of times articles - that is, research articles, technical notes and reviews - from the journal published in the last two years have been cited in the current year. When used as a point of comparison with other journals, the impact factor indicates the relative importance of a journal within a given field.

As a general guideline, impact factors may be of interest to academic and research staff when selecting journals for publishing their work.

The journal impact factor is currently calculated by Thomson ISI for more than 7000 journals contained in its citation indexes (science, technology, social sciences) and published in:

Journal citation reports

  • show the most frequently cited journals in a field
  • highest impact journals in a field
  • leading journals in a field
  • related journals in a field
  • citation characteristics for a subject category
  • includes Eigenfactor metrics (Eigenfactor Score & Article Influence Score)
  • and is updated annually

Note that not all journals are covered by Thomson ISI citation indexes and therefore do not have calculated impact factors.

To determine whether the journal is peer-reviewed or refereed, see the guide on Publishing in quality journals.

Citation supplier for ERA

Scopus is the citation data supplier for Cluster One - Physical, Chemical and Earth Sciences (PCE) in the ERA initiative. For further information, see the University's web page on Indicators.

For more information on how to measure the impact of publications and citations, see our page on Citation analysis (Bibliometric tools).

ERA journal rankings

For journal rankings used in the Excellence in Research Australia (ERA) initiative, see the University's web page on Journal Rankings.

Other journal metrics

Scopus Journal Analyzer

You can use Journal Analyzer [click on the Analytics tab within Scopus] to compare up to 10 Scopus sources on a variety of parameters:

  • SJR (SCImago Journal Rank) - a measure of the scientific prestige of a scholarly source by assigning a relative score based on a citation network. Available from within the Scopus database (click on the Analytics tab) or from the SCImago web site
  • SNIP (Source Normalized Impact per Paper) - measures contextual citation impact by weighting citations based on the total number of citations in a subject field. Available from within the Scopus database (Analytics tab) or from the SNIP web site
  • Citations - compare sources by the number of times a source has been cited
  • Documents - compare sources by the number of documents published in a year
  • % not cited - compare sources by the percentage of documents published in a year that have never been cited to date

h-index or Hirsch index

The h-index was developed in 2005 by Jorge Hirsch to qualify the impact and quantity of individual scientist's research output. The h-index serves as an alternative to more traditional journal impact factor metrics.

The measure is simple: a scientist with an h-index of, say, 20 has published 20 articles that have each attracted at least 20 citations. This means that the rest of the author's papers have less than 20 citations. The index works properly only for comparing scientists working in the same field as citation conventions differ widely among different fields.

How to calculate your h-index:

The h-index can be manually determined using an Internet database such as Google Scholar. Licensed resources such as Scopus and the Web of Science provide automated calculators. Note that each database is likely to produce a different h for the same scholar, because of the different coverage in each database.

Other impact metrics

total-Impact (Altmetrics) It reports on how many times an item is downloaded, bookmarked and blogged. It can track papers if they are in a journal that issues a DOI, has a PubMed ID, URL or other supported identifier; or pull object IDs from existing collections like datasets. You can create a collection of research objects you want to track and total-Impact will provide a report on the total impact of the collection.