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An Alternative Size-Independent Journal Performance Indicator for Science on the Periphery


Affiliations
1 CSIR National Institute for Interdisciplinary Science an Technology, Thiruvananthapuram 695 019, India
 

The use of conventional journal impact factors (JIFs) for isolated journal ecosystems which belong to what is called science on the periphery has limitations. We propose the power : weakness ratio as an alternative size-independent recursive metric for journal evaluation for such ecosystems. It is based on the idea of recursive citation weighting using graph theoretic tools from social network analysis. The two highly localized ecosystems (i.e. sub graphs isolated from the global graph) chosen are the chemistry journals from India and those from China which are found in the JCR. When the local ecosystems are isolated from the larger global scientific network, the cross-citation behaviour within the local ecosystem reveals different features. This indicator is a more meaningful measure of the standing of each journal in the cross-citation activity within the ecosystem than the well-known JIF which is a global measure.

Keywords

Bibliometrics, Isolated Journal Ecosystems, Social-Network Analysis, Power, Weakness Ratio.
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  • An Alternative Size-Independent Journal Performance Indicator for Science on the Periphery

Abstract Views: 227  |  PDF Views: 79

Authors

Gangan Prathap
CSIR National Institute for Interdisciplinary Science an Technology, Thiruvananthapuram 695 019, India
P. Nishy
CSIR National Institute for Interdisciplinary Science an Technology, Thiruvananthapuram 695 019, India

Abstract


The use of conventional journal impact factors (JIFs) for isolated journal ecosystems which belong to what is called science on the periphery has limitations. We propose the power : weakness ratio as an alternative size-independent recursive metric for journal evaluation for such ecosystems. It is based on the idea of recursive citation weighting using graph theoretic tools from social network analysis. The two highly localized ecosystems (i.e. sub graphs isolated from the global graph) chosen are the chemistry journals from India and those from China which are found in the JCR. When the local ecosystems are isolated from the larger global scientific network, the cross-citation behaviour within the local ecosystem reveals different features. This indicator is a more meaningful measure of the standing of each journal in the cross-citation activity within the ecosystem than the well-known JIF which is a global measure.

Keywords


Bibliometrics, Isolated Journal Ecosystems, Social-Network Analysis, Power, Weakness Ratio.



DOI: https://doi.org/10.18520/cs%2Fv111%2Fi11%2F1802-1810