Arab Spring’s effect on scientific productivity and research performance in Arab countries
Ibrahim, Bahaa;
Abstract
© 2018, Akadémiai Kiadó, Budapest, Hungary. This study focuses on the Arab literature published by researchers from all 22 members of the Arab League during the last 5 years before Arab Spring (2006–2010) and the 5 years after Arab Spring (2011–2015), in order to identify effects of the Arab Spring on research in the Arab world both performance and Productivity, based on bibliometrics analysis of the data extracted from Web of Science and InCites Essential Science Indicators provided by Thomson Reuters, and by using the statistical software package SPSS. The total productivity of Arab researchers before the Arab Spring was (103,917) document. Countries that witnessed revolution and government overthrown produced the largest productivity (42.5%). The Arab countries’ production doubled after the Arab Spring (214,864 document). Countries that witnessed Minor protests advanced to second place (30%) as a result of the leap that occurred in Saudi Arabia publications. The extent of collaboration among Arab countries before the Arab Spring was twice the number of publications in which they collaborated with the rest of the world. The number of citations was positive after the Arab Spring for 12 countries such as Saudi Arabia, Qatar, Iraq, Egypt and United Arab Emirates, while it was negative for 10 countries such as Tunisia, Algeria, Jordan, Kuwait and Lebanon. There is no significant difference between Arab countries exposed to different levels of protests of Arab Spring, and between Counties’ performance after and before Arab Spring. However, counties’ productivity after Arab Spring has increased higher than before Arab Spring.
Other data
Title | Arab Spring’s effect on scientific productivity and research performance in Arab countries | Authors | Ibrahim, Bahaa | Keywords | Arab Spring; Arab World literature; Scientific productivity; Scientific collaboration; Country analysis; Research performance | Issue Date | 2018 | Publisher | SPRINGER | Journal | Scientometrics | DOI | 1555 3 1586 https://doi.org/10.1007/s11192-018-2935-z 117 10.1007/s11192-018-2935-z |
Scopus ID | 2-s2.0-85055754240 | Web of science ID | WOS:000451754600012 |
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