Abstract: On the basis of a scoring rule approach, a citation metrics has been developed in this study which takes into account not only the number of articles published by an author and their citations but also the impact factors of journals in which the articles were published and impact factors of journals with articles citing the researcher in question. We have developed a special algorithm and a program on the basis of the Python language to identify the titles of Scopus-journals (so that they could be searched for with the help of Google Scholar) in which an author's articles are published and to determine their IF using SCIMAGO platform. The algorithm and program has been tested on two Google Scholar profiles of the most cited scientists (physicists) of Belgorod State University (Russia) Ruslan Kaibyshev and Andrey Belyakov.
Vladimir M. Moskovkin, Nikolay A. Golikov, Ilya F. Isaev and Olesya V. Serkina, 2014. Construction IF-Scoring Rule Within The Framework of New Generation of Metric Citations. Research Journal of Applied Sciences, 9: 1167-1170.