文章基本信息

标题：A Bibliometric Mapping of Malaysian Publication using Co-Word Analysis
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作者：Nurul Mardhiah Azura Md Nadzar ; Aryati Bakri ; Roliana Ibrahim 等
期刊名称：International Journal of Advances in Soft Computing and Its Applications
印刷版ISSN：2074-8523
出版年度：2017
卷号：9
期号：3
页码：90
出版社：International Center for Scientific Research and Studies
摘要：Bibliometric maps or science maps are figurative representation of scientific field or organization in which elements of the map are associated with topic or themes. In this study, the method that has been chosen to perform bibliometric mapping is co-words analysis. Main objective for this study is to identify the research progress that been achieved by previous researchers and future direction which has the potential to be discovered by younger researchers. Set of data been downloaded from Scopus database. In this study total of 2360 successfully downloaded which has been sorted the highest cited articles and all subject area is selected from year 1995 to 2015. By using Vosviewer, title and abstract from corpus is manipulated in order to produce cluster of co-words analysis. As for result, there are 5 cluster words being produce in the software. Three of clusters are related to medicine, pharmacy and clinical namely as cluster 1, cluster 4 and cluster 5. In cluster 2 is related to agricultural, environment and forestry whereas the last cluster, cluster 3 is more relate to children development, adult health and health in developing countries. Highest and low frequency word also reported in this study. Highest frequency can be considered as the most research area that become researcher's choice in this past 20 years. Whereas for low frequency words is the potential words that can be a guidance for young researchers to choose which research area or domain that they can gain the interest and do the next exploration.
关键词：bibliometric mapping; co-words analysis; publication; cluster; research domain