Ranking of Journals in Science and Technology Domain: A Novel and Computationally Lightweight Approach

Neelam Jangid · Snehanshu Saha · Siddhant Gupta · J. Mukunda Rao

11 citations0/0 files storedIERI Procedia

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scientometrics and bibliometrics research Psychology Research and Bibliometrics Web visibility and informetrics

Abstract

In this paper, a regression analysis based method is proposed to calculate the Journal Influence Score. This Influence Score is used to measure the scientific influence of scholarly journals. Journal Influence Score is calculated by using various factors in a weighted manner. The Score is then compared with the SCImago Journal Score. The results show that the error is small between the existing and proposed methods, proving that the model is a feasible and effective way of calculating scientific impact of journals.

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References

2012LIS journals scientific impact and subject categorization: a comparison between Web of Science and Scopus 2006Measuring internationality: Reflections and perspectives on academic journals 2009The authorship and internationality of Industrial Engineering journals 2008Scholarly journal ranking(s) in marketing: single‐ or multi‐item measures?

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2016DSRS: Estimation and forecasting of journal influence in the science and technology domain via a lightweight quantitative approach

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