[Home ] [Archive]   [ فارسی ]  
:: Volume 32, Issue 3 (Spring 2017) ::
2017, 32(3): 661-694 Back to browse issues page
Evaluation the predictive indicators of scientific impact to increase the citations of articles in scientific journals
Saeideh Ebrahimy *, Mahtab Dehghan , AbdolRasoul Jowkar
PhD in Knowledge and Information Science; Assistant Professor Shiraz University
Abstract:   (1143 Views)

The aim of this study is to provide some criteria for reviewers in their process of evaluating the articles so as to help them predict future citations to these article based on their quality. This study deploys a descriptive - correlation and applied research. In this study, about 5 magazines as an example were selected among the Chemistry journals indexed in Scopus. Also among the 926 articles, 300 articles were examined stratified random sampling during the 2011 – 2015.The results indicated that "co-authorship" is the strongest predictor variable for predicting citation positively and significantly. Furthermore, variables of length of the article, number of references & H-index can also predict the citation Rate significantly. Along with the traditional criteria for evaluating article, the reviewers can also include other effective indicators in their evaluation process of articles, and, in turn, increase the visibility and citation rate of the articles. This makes it possible for the reviewers to deploy a reliable measuring tool for examining the quality of scholarly papers and predict the citation Rate.

Keywords: Evaluation of the quality of articles, scientific impact, Criteria for judging scientific articles, citation, Multi authorship, co-authorship, H-index.
Full-Text [PDF 842 kb]   (680 Downloads)    
Type of Study: Research | Subject: Library and Information Science
Received: 2016/04/7 | Accepted: 2016/05/11 | Published: 2016/10/31
Send email to the article author

Add your comments about this article
Your username or Email:

Write the security code in the box >

XML   Persian Abstract   Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Ebrahimy S, Dehghan M, Jowkar A. Evaluation the predictive indicators of scientific impact to increase the citations of articles in scientific journals. Journal of Information Processing and Management. 2017; 32 (3) :661-694
URL: http://jipm.irandoc.ac.ir/article-1-3163-en.html

Volume 32, Issue 3 (Spring 2017) Back to browse issues page
پژوهشنامه پردازش و مدیریت اطلاعات Journal of Information processing and Management
Persian site map - English site map - Created in 0.117 seconds with 817 queries by yektaweb 3600