Skip to Main Content

Citation Analysis & Journal Rankings

Resources to help faculty measure journal, article and author impact factors.

What will you find here?

The tools on this page will help to answer the question, "How many times and where was an article or author cited?"

Citation analysis is the study of citations to and from documents.  It is the study of the impact and assumed quality of an article, an author or an institution based on the number of times works and/or authors have been cited by others.

Keep in mind that there isn't a single database that keeps tracks of all the journal articles that have cited your work. You may have to check citations to your work in multiple databases to get a sense of a fuller range of your work's importance.

Why is it important?

  • To establish the impact that a particular work has had by identifying what authors based their work upon it or cited it within their own papers.
  • To learn more about a field or a topic by identifying seminal works in that area.
  • To determine what impact a particular author has had within his/her own discipline and beyond by looking at his/her total number of citations
  • For promotion and tenure purposes by looking at the quality of sources where a scholar’s work has been published and cited

You will find resources to find the h-index or Hirsch index which measures the impact of a scholar rather than a journal. It is a metric to evaluate the cumulative impact of a researcher's scholarly output and performance.

H-Index = number of papers (h) with a citation number ≥ h.

The h is the highest number of publications of a scholar that received h or more citations. For example, a scholar with an h-index of 5 published 5 papers, each of which has been cited by others at least 5 times.

Please note than an individual's h-index is likely to be different in different databases because of the journals each database indexes. 

Advantages of the H-Index:

  • Allows for direct comparisons within disciplines.
  • Measures quantity and impact by a single value.

Disadvantages of the H-Index:

  • Does not give an accurate measure for early-career researchers.
  • Calculated by using only articles that are indexed in Web of Science. 

Information on the g-index.

The g-index was proposed by Leo Egghe in "Theory and Practice of the g-index, 2006", as an improvement to the h-index. It gives more weight to highly-cited articles.

Advantages:

  • Accounts for the performance of author's top articles.
  • Helps to make more apparent the difference between authors' respective impacts. The inflated vales of the g-index help to give credit to lowly-cited or non-cited papers while giving credit for highly cited papers.

Disadvantages:

  • The debate continues whether the g-index is superior to the h-index. It is not as widely accepted as the h-index.

The i10-index is a metric used by Google Scholar. It is the number of publications with at least 10 citations for all of the citations listed in your profile. 

Advantages:

  • Easy to use

Disadvantages:

  • Only available in Google Scholar

Altmetrics, or alternative metrics, measure the impact of scholarly work through an analysis of mentions in social media, blogs, news outlets, and more. It allows for more immediate analysis of impact and can be applied to articles, journals, books, data sets, presentations, videos, source code repositories, web pages, etc.

By using public APIs across platforms, Altmetrics calculates scholarly impact based on signs of usage (downloads, clicks, patents, syllabi, etc.), captures (bookmarks, favorites), mentions (new articles, blog posts, Wikipedia references), and social media (Tweets, shares, likes, comments). It shouldn't be used as the single impact measure.

Advantages:

  • Accumulates metrics faster compared to traditional citation counts
  • Measures beyond books and articles to include data sets, presentations, videos, web pages, etc. 
  • Provides a wider net for measuring impact of research (sometimes important to funders)

Disadvantages:

  • Should be used with other metrics
  • Easy to misinterpret
  • Indicators are based on sharing which does not measure true impact
  • Focus on what is popular at the moment
  • Easy to artificially inflate impact