فهرست مطالب ashraf maleki

Books are significant scholarly publications which contribute a large part to the diffusion of scholarly findings and aid general knowledge promotion. The major goal of this research was to determine the relationship between teaching ranks of textbooks used in World Top Rank Universities according to Times Higher Education and indicators extracted from the citation, PageRank, and HITS.

The current study is applied research and utilizes descriptive correlation method. This research was conducted using citation analysis. The population involved 1869 textbooks from the collections of indexed books in Scopus. The books were identified through matching 168,866 book titles published between 1953- 2017 which were indexed in Scopus and recorded in Open Syllabus Project as teaching resources of World Top Rank Universities. The Library of Congress Classification was used to determine book subjects. The citations count of each book was exported from Scopus. PageRank and HITS algorithms were calculated by books citation networks using the Sci2Tool program.

The results showed that there was a weak relationship among all three levels of teaching ranks with citation counts. Besides, The correlation between teaching ranks and PageRank were moderate and significant. Of the two ranking scores associated with the HITS algorithm, the correlations between teaching ranks and authority scores were significantly weak, but they were only significant at sub-classification levels with Hub scores. Furthermore, teaching ranks had a significantly moderate correlation with both PageRank and Authority scores in Social Sciences (H), Philosophy, Psychology, Religion (B), Politics (J), Law (K) and World History (D).

Pagerank and authority scores of books calculated based upon the book citation network can be used in determining the teaching impact of books in some fields. Hence, this research suggests international citation indexes to utilize these indicators for books or to make the calculation of such indicators feasible for users. This is the first research conducted to examine the relationship between teaching rank of books with citation network indicators calculated by PageRank and HITS algorithms.

During past decade, there has been a noticeable increase in the number of educated personnel immigrating to developed countries from developing countries. Canada has been one of the developed countries that admits a large number of immigrations from different nations. According to the Citizenship and Immigration of Canada, Iran has been one of the top 10 countries in terms of immigration rate over the past decade. However, it is not fully known how the immigration of Iranian scholars may influence scientific productivity of destination country, however. To fill this gap, in this paper, we have attempted to assess the share of contribution of Iranian authors’ in scientific publications of Canada and reported their educational and occupational backgrounds. Corresponding author affiliations of about 39,500 articles indexed in Scopus (2005-2011) in engineering fields have been extracted and checked if they were of Persian names. A sample of online CVs from Iranian corresponding authors has been used to determine the researchers’ educational and occupational backgrounds. Results showed a constant increase in the proportion of publications with Iranian corresponding authors and Canadian affiliation from 8% in 2005 to 16% in 2011. Moreover, 67% and about 50% of Iranian authors have respectively received their BS and MS degrees from top Iranian universities in engineering and 76% of authors had occupations at organizations or universities abroad (mostly in Canada)