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A bibliometric mapping of malaysian publication using co-word analysis

Nadzar, N. M. A. M. and Bakri, A. and Ibrahim, R. (2017) A bibliometric mapping of malaysian publication using co-word analysis. International Journal of Advances in Soft Computing and its Applications, 9 (3). pp. 90-113. ISSN 2074-8523

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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

Abstract

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.

Item Type:Article
Uncontrolled Keywords:Bibliometric maps, scientific field
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computing
ID Code:76318
Deposited By: Widya Wahid
Deposited On:29 Jun 2018 22:01
Last Modified:29 Jun 2018 22:01

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