A Word Co-Occurrence analysis of Teaching Arabic Language and Literature Scientific Productions Indexed in Web of Science (Wos): Making a Science Mape

Scientometrics is one of the most common methods in evaluating scientific productions and one of its important features is word co-occurrence analysis. The present study examines the scientific productions of Arabic language and literature in Web of Science database. The purpose of this study is to evaluate the world’s scientific productions in Teaching Arabic language and literature, and making a science map using new scientometric methods for the visibility of published scientific information, which shows the interactions among authors, partner institutions and countries. This research uses scientometric methods along with quantitative methods and citation analysis. The data collection resource is WoS and data analysis tools include network mapping software. The statistical population is 1507 indexed documents in Arabic language. Findings showed that scientific productions in Teaching Arabic language and literature subject area have a growing trend. Authors in this subject area are not in favor of collaborating with other authors. Internationally, authors’ scientific relationship and collaboration is not very optimistic. Most of these collaborations and productions belong to the United States and Saudi Arabia. Accordingly, computer sciences, educational researches, linguistics, engineering, psychology and religious subjects are the top ones in this area. On the other side, Arabic dictions, Arabic language, language, and education are among the most widely used words in this field. The results of the present study also emphasize the importance of paying attention to scientific productions in Arabic Language Teaching and scientific collaborations among authors and educational and research institutions in different countries, especially Arab countries.