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Eigenfactor

Fraumann, Grischa LU ; D’Souza, Jennifer and Holmberg, Kim (2021) In De Gruyter Reference p.245-254
Abstract
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... (More)
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). (Less)
Please use this url to cite or link to this publication:
author
; and
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
Handbook Bibliometrics
series title
De Gruyter Reference
editor
Ball, Rafael
pages
245 - 254
publisher
De Gruyter
external identifiers
  • scopus:85109769861
ISBN
978-3-11-064227-8
DOI
10.1515/9783110646610-025
language
English
LU publication?
no
id
0a1a7d73-7177-404f-bb55-eb58b76e7c32
date added to LUP
2022-10-12 15:35:19
date last changed
2025-04-04 14:52:11
@inbook{0a1a7d73-7177-404f-bb55-eb58b76e7c32,
  abstract     = {{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).}},
  author       = {{Fraumann, Grischa and D’Souza, Jennifer and Holmberg, Kim}},
  booktitle    = {{Handbook Bibliometrics}},
  editor       = {{Ball, Rafael}},
  isbn         = {{978-3-11-064227-8}},
  language     = {{eng}},
  pages        = {{245--254}},
  publisher    = {{De Gruyter}},
  series       = {{De Gruyter Reference}},
  title        = {{Eigenfactor}},
  url          = {{http://dx.doi.org/10.1515/9783110646610-025}},
  doi          = {{10.1515/9783110646610-025}},
  year         = {{2021}},
}