  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 approach that does not require any data storage, yet yields a score
which is useful for measuring the importance of journals. In this paper, a
regression analysis based method is proposed to calculate Journal Influence
Score. Proposed model is validated using historical data from the SCImago
portal. The results show that the error is small between rankings obtained
using the proposed method and the SCImago Journal Rank, thus proving that the
proposed approach is a feasible and effective method of calculating scientific
impact of journals.
