Computing the Prestige of a journal
| Autor: | Snehanshu Saha, Neelam Jangid, Anand Narasimhamurthy, Archana Mathur |
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| Rok vydání: | 2015 |
| Předmět: |
Scheme (programming language)
Computer science Regression analysis computer.software_genre Journal ranking SCImago Journal Rank Linear regression Effective method Overhead (computing) Data mining Citation GeneralLiterature_REFERENCE(e.g. dictionaries encyclopedias glossaries) computer computer.programming_language |
| Zdroj: | WCI |
| Popis: | The evaluation of journals based on their influence is of interest for numerous reasons. Various methods of computing a score have been proposed for measuring the scientific influence of scholarly journals. Typically the computation of any of these scores involves compiling the citation information pertaining to the journal under consideration. This involves significant overhead since the article citation information of not only the journal under consideration but also that of other journals for the recent few years need to be stored. Our work is motivated by the idea of developing a computationally lightweight scheme that does not require any data storage, yet yields a score which is useful for measuring the importance of journals. In this paper, a Journal Influence Score is mooted and a regression analysis based method is proposed to calculate the score. We validated our model using historical data from the SCImago portal. The results are promising, the rankings obtained using the proposed method compare favourably with the SCImago Journal Rank, thus indicating that the proposed approach is a feasible and effective method of calculating scientific impact of journals. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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