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University of Minnesota

Kathryn A. Martin Library

Faculty Publishing

What you need to know about journal impacts, acceptance rates, peer-review status, UMD's institutional repository, and who is citing whom.

About Eigenfactor is a project of Bergstrom Lab at the University of Washington. The goal of Eigenfactor is to rate a journal's importance to the scholarly community. Towards that goal, Eigenfactor gathers data from around the web, including Thomson Scientific's Journal Citation Reports, to compute two numbers: Eigenfactor score (EF) and article influence (AI).

Eigenfactor score (EF) is a measure of the "journal's total importance to the scientific community."

Aritlce influence (AI) is "a measure of the average influence of each of its articles over the first five years after publication."


For more information on the methodology and data sources behind the rankings, see's FAQ.

Using Eigenfactor

How to search

Eigenfactor offers three methods of search: journal name, year, and ISI (Journal Citation Reports) Category. Choose the most appropriate method to find EF and AI scores for the publications indexed by 

Search results for journal name

You can click here to do a Journal Search with Eigen Factor

Below you can see the EF and AI rankings and percentiles for American Sociological Review for the year 2010. Historical graphs are included when data is available.

Search results for publisher

Eigenfactor also allows for publisher searches if you want to see the scores for a certain publisher's titles. Below are the most recent EF and AI data for journals published by the American Sociological Association.