Introduction Impact factor – Garfield1 first mentioned the idea of ​​an impact factor in 1955, and this It was only in the early 1960s that he, with Irving H Sher, created the Journal Impact Factor to help select journals for the Science Citation Index. The evolution of the concept of impact factor is well documented 2. Since then, it has been widely used for different purposes; it is used, often indiscriminately, in evaluating the performance of individual scientists, in ranking institutions and countries, in selecting candidates for academy awards and fellowships, and in granting promotions and tenure in academic institutions. universities. Despite Garfield's own warnings against such uses, 2 the scientific literature is replete with inappropriate uses of the impact factor. Many reviewers have commented on such misuse. Many seem to forget the cardinal principle that all citation studies should be standardized to account for variables such as discipline, citation density, and half-life3. Some even gather inappropriate data sets and draw conclusions beyond what the data warrants4. Use and Misuse of Impact Factor - Scientometric experts and scientists have commented on the need to restrict the use of impact factor9,19,20. Dismayed by the senseless abuse of citation data and the journal IF in countries like China and India, Stanford chemist Richard Zare has highlighted the critical role of a person's opinion. expert in judging a person's worth as a researcher. At Stanford (and most American universities), Zare says, they don't count the number of published articles, don't rank them by author order, and...... middle of article. ..... ics to standardize the IF review. We adopted the more objective method of the impact factor normalized by rank for subject categories suggested by Pudovkin and Garfield74: For any journal j, the impact factor normalized by rank rnIFj = (K - Rj + 1) K, where Rj is the JCR rank of journal j and K is the number of journals in its category. If a journal ja rnIFj = The top journals in each subject category will have an rnIF equal to 1.0 and the median journals will have a mIF close to 0.5. We compared the 2- and 5-year rank-normalized FI, the mean rank-normalized FI, and the mean normalized FI of OA and subscription. journals indexed in JCR 2012 (Science) for the world at large for different fields classified in ESI. We used MS Access and wrote some SQL scripts for data analysis..