Measuring the attractiveness of academic journals: a direct influence aggregation model

Fabien Cornillier; Vincent Charles

doi:10.1016/j.orl.2015.01.007

Measuring the attractiveness of academic journals: a direct influence aggregation model

Fabien Cornillier^*
, Vincent Charles

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

Abstract

Various journal-ranking algorithms have been proposed, most of them based on citation counts. This article introduces a new approach based on the reciprocal direct influence of all pairs of a list of journals. The proposed method is assessed against an opinion-based ranking published in 2005 for 25 operations research and management science (OR/MS) journals, and seven methods based on citation counts. The results show a strong correlation with the opinion-based ranking.

Original language	English
Pages (from-to)	172-176
Number of pages	5
Journal	Operations Research Letters
Volume	43
Issue number	2
Early online date	20 Jan 2015
DOIs	https://doi.org/10.1016/j.orl.2015.01.007
Publication status	Published - 01 Mar 2015
Externally published	Yes

Keywords

Academic journal ranking
Export scores model
Impact factor
Invariant method
LP-method
PageRank method

ASJC Scopus subject areas

Software
Management Science and Operations Research
Industrial and Manufacturing Engineering
Applied Mathematics

Access to Document

10.1016/j.orl.2015.01.007Licence: Unspecified

Cite this

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title = "Measuring the attractiveness of academic journals: a direct influence aggregation model",

abstract = "Various journal-ranking algorithms have been proposed, most of them based on citation counts. This article introduces a new approach based on the reciprocal direct influence of all pairs of a list of journals. The proposed method is assessed against an opinion-based ranking published in 2005 for 25 operations research and management science (OR/MS) journals, and seven methods based on citation counts. The results show a strong correlation with the opinion-based ranking. ",

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AU - Charles, Vincent

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AB - Various journal-ranking algorithms have been proposed, most of them based on citation counts. This article introduces a new approach based on the reciprocal direct influence of all pairs of a list of journals. The proposed method is assessed against an opinion-based ranking published in 2005 for 25 operations research and management science (OR/MS) journals, and seven methods based on citation counts. The results show a strong correlation with the opinion-based ranking.

KW - Academic journal ranking

KW - Export scores model

KW - Impact factor

KW - Invariant method

KW - LP-method

KW - PageRank method

U2 - 10.1016/j.orl.2015.01.007

DO - 10.1016/j.orl.2015.01.007

M3 - Article

AN - SCOPUS:84922180623

SN - 0167-6377

VL - 43

SP - 172

EP - 176

JO - Operations Research Letters

JF - Operations Research Letters

IS - 2

ER -

Measuring the attractiveness of academic journals: a direct influence aggregation model

Abstract

Keywords

ASJC Scopus subject areas

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Cite this