کیوان کوشا

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)

The general aim of a bibliometric map is to provide an overview of the structure of the scientific literature in a certain domain or on a certain topic. In the context of science policy and research management, bibliometric maps can be used to support decision making by governments, funding agencies, and universities. The articleshave words and references which are the bibliometric data for co-citation analysis and co-word analysis. The two found bibliometric approaches whether they show any correlation? These approaches were applied to University of Tehran’ productions published between 1999 and 2008, retrieved from the Web of Science. The results reveal 14 co-citation clusters and 6 co-word clusters. The clusters vary considerably in size. Co-word clusters emerged co-citation clusters.

In this research the contribution of different factors resulting in the delay of publication of papers from submitting through publication process was studied. Due to the fact that publication delay might happen in different phases in other majors and fields so we have compared and studied this phenomenon in seven sciences and social sciences disciplines. We have examined 11,598 papers which have been published in 102 journals in 2009. The results showed that maximum and minimum time period in three stages belonged to received-revised which lasts eight months and the revised-accepted which lasted one month. Time periods in reviewing papers were different for different subject areas and only few percentages of journals had relatively low publication delay. The findings indicated that 56 % of chemistry papers, 57% of biology papers, 47% of surgery papers, 72% of papers in computer, 89% of economy papers, 96% of management papers and 71% of papers in library and information science have been published in more than six months. Finally and due to the delay efficacy as an efficacious indicator in increasing and decreasing of journals impact factors, can be said that these figures can be an alarm for journals officials in order to decreasing these delays and increasing their journals impact factor.

The main aim of this research was to answer this question whether the course reading lists in online syllabuses can be used as a valuable source for research evaluation. The Research population included 8043 citations from 350 online syllabuses from departments of library and information science in the United State during 2000-2009.The results of correlation tests showed that there were significant and direct relationships between Scopus, ISI (WOS), Google Scholar and Google Book citations at article journals and books levels. The results indicated that the methodology applied in this study can be used as a new and applied approach to access the impact of research on education.

This research is devoted to find out the level of self-archival pattern among Iranian researchers with high rate of publications, based upon the ISI citation indices in the scopes of science and social sciences. This research is a descriptive survey based on observation. The necessary data was obtained through observing the websites of the 80 Iranian researchers with highest number of publications, in four fields of science (chemistry, biology, mathematics, and computer sciences and information systems) and four fields of social sciences (social sciences, economics, psychology, and management). Excel software was utilized for data analysis. According to results of the research, the Iranian researchers with high number of publications are rarely familiar with the concept of self-archival pattern, such that among the four fields of science, the researchers with highest number of publications in mathematics had the highest level of self-archiving (3.25%) during their research. Furthermore, the study revealed that the researchers with highest number of publications in social sciences took no measures for self-archiving. Besides, the ratio of possible self-archiving to the real self-archiving is remarkable in all the mentioned fields. The highest level of possible self-archiving among the science fields related to biology, while the lowest level of it pertained to computer sciences and information systems; however, the least difference between the possible self-archiving and the real self-archiving was observed in computer sciences and information systems. Moreover, the highest level of possible self-archiving among the science fields corresponded to economics.Originality/Value: Though self-archiving has been among the most effective approaches of information dissemination, it seems that this concept has not been considerably employed by Iranian researchers with high number of publications. The results of this study provide an opportunity for researchers to get acquainted with this concept as well as the status of self-archiving in the mentioned fields and give new insights for making the scientific publications accessible.

Citation analysis is one of the quantitative methods in information science which have been widely used in Scientometric studies for impact assessment of research. With an increasingly amount of scientific sources deposited on the Web, it was a motivating factor for researchers to examine citation impact of these digital sources in the scholarly communication cycle and hence new research area known as "Webometrics" has been developed. One of the key applications of Webometrics is "Web citations" analysis and their comparison with "traditional citations" which can reveal whether Web is useful or trivial source for research evaluation. The current study intends to compare commonalities between ISI citations and Web-extracted citations to medical science research articles in order to obtain scientific evidence on application of Web environment as well as Webometrics methods and tools in medical science research evaluation. A sample of 350 English research journal articles indexed by ISI in 2004 in general/internal medicine was selected. We searched article's title in the ISI Web of Science as well as Google Scholar (GS) to obtain number of cited items for each article. Moreover, at the journal level we conducted same strategy for 56 Persian language medical journal titles. Statistical correlation tests and descriptive statistics were applied to examine, interpret and compare ISI citation and Web citation patterns. We found significant correlation between ISI and Web citations from GS targeting the sample of 350 medical science articles. Analyzing the descriptive statistics showed that number, mean and median of citations to the articles from GS is remarkably more than ISI citations. For the 56 Persian language medical science journals number, mean and median of GS citations (301, 5.4, 4, respectively) were remarkably higher than ISI citations (99, 1.8, 0, respectively). The significant correlation between ISI and GS citations suggests that Web environment can be useful source of information for research evaluation. Comparison between descriptive statistics for general/internal medicine journal articles and Persian medical science journals also indicate that from Web environment we can extract the greater numbers and types of citations targeting medical science articles than ISI database which their citation impact have previously been invisible in the medical science research communication.

The present study primarily aims to shed a light on the rate of papers derived from the PhD Theses concluded in the University of Tehran during the 2001-2005 Period. ISI, Scopus, Google Scholar, Irandoc, Magiran and SID databases were used for data collection. A survey method was deployed along with observational tools. Basic sciences had the highest number of paper derived from theses (5.36) and Humanities and social Sciences had the least number (2.01). Among faculties, Physics had the highest number of papers (7.57) and Geology had the least (1.5). Among departments, Microbiology had the highest mean number of papers (11.5) while the Physics had the highest number of paper published abroad (7.28). Government administration and Educational Philosophy (0) had the least number of papers published abroad. Furthermore, Biology had the highest (2.66) and Mathematics had the least (0.25) papers published locally.

The present study examined and analyzed citation frequency of ISI cited journals in organic chemistry for 2006. Number of citations to each reference within a given text was counted. By employing citation analysis based on frequency, the study posits the possibility of using citation frequency as a significant indicator in citation analysis researches based on citation count. A standard citation frequency analysis was used. It is a type of citation analysis focusing on citation frequency which is standard since both articles and citations were drawn from ISI indexed journals. Findings indicated that out of every 10 citations, 8 in-context citations belong to journals indexed in ISI. The distribution of this frequency is not normal. 3.5% of journals had the highest frequency while 40% had been repeated only once. A significant distinction between citations means and frequencies was discerned.

Investigation of co-linking usage as a new indicator in evaluating subject similarities among scientific websites as well as the co-linking motivation among biology scientific centers websites. The research population consists of 24 websites who were affiliated with the Ministry of Science Research & Technology and/or Ministry of Health and Medical Education. Link-analysis was used in order to investigate the co-linking relation, 68% of websites are bilingual (Persian-English), 20% English, 8% Persian and 4% multilingual (Persian, Arabic, French & English). Based on co-linking rankings the National research center for Genetic Engineering and Biotechnology, Pasteur Institute of Iran and Royan Infertility and Reproductive Medical Research & Clinical Centers rank hold the top three positions. The lowest ranks belong to Cellular & molecular biology Research Center, Cancer Research Center of Shiraz, Biotechnology & Bu’Ali Scientific Center. The reasons of co-linking in 97% cases are navigational, 2.75% Informal impact & 0.25% unspecified

Many studies have been conducted on citation network of scientific articles based upon the ISI databases. However, not much is known about the characteristics of Web citation network. The main purpose of the current study is to examine five characteristics of Web citing sources including file format, hyperlinking, Internet domain, language, and publication year in order to explore features of the scientific publishing on the Web. Using content analysis approach, a random of 545 Web citing sources in the four science and the four social science disciplines targeting 1650 research articles published in 108 open access journals were studied. About 61% of the OA citing sources targeting research papers were in PDF format, 30% were from academic domains ending in edu and ac and 71% of the citations were not hyperlinked. Moreover, 15% of the OA citing sources targeting studied papers in the eight selected disciplines were in non-English languages. Additional analyses revealed significant disciplinary differences across science and the social sciences. Overall, the OA Web citation network was dominated by PDF format files and non-hyperlinked citations. The results can practically be used in design and development of scientific retrieval systems, especially automatic or autonomous citation indexes.