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BY 4.0 license Open Access Published by De Gruyter Saur 2021

4.7 Eigenfactor

Grischa Fraumann, Jennifer D’Souza and Kim Holmberg


The Eigenfactor™ is a journal metric, which was developed by Bergstrom and his colleagues at the University of Washington. They invented the Eigenfactor as a response to the criticism against the use of simple citation counts. The Eigenfactor makes use of the network structure of citations, i.e. citations between journals, and establishes the importance, influence or impact of a journal based on its location in a network of journals. The importance is defined based on the number of citations between journals. As such, the Eigenfactor algorithm is based on Eigenvector centrality. While journal based metrics have been criticized, the Eigenfactor has also been suggested as an alternative in the widely used San Francisco Declaration on Research Assessment (DORA).

© 2021 Grischa Fraumann, Jennifer D’Souza, Kim Holmberg, published by Walter de Gruyter GmbH, Berlin/Boston
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