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

Fabien Cornillier; Vincent Charles

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

Fabien Cornillier, Vincent Charles

Sección de Posgrado en Negocios

Universidad del Pacífico

Producción científica: Contribución a una revista › Artículo › revisión exhaustiva

4 Citas (Scopus)

Resumen

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.

Idioma original	Español
Páginas (desde-hasta)	172-176
Número de páginas	5
Publicación	Operations Research Letters
Volumen	43
Estado	Publicada - 1 ene. 2015

Citar esto

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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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N2 - 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.

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.

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JF - Operations Research Letters

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