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Bibliometric analysis of abrasive water jet machining research.

Authors :
Anwar, Saqib
Abdullah, Fawaz M.
Alkahtani, Mohammed S.
Ahmad, Shafiq
Alatefi, Moath
Source :
Journal of King Saud University - Engineering Sciences; Jul2019, Vol. 31 Issue 3, p262-270, 9p
Publication Year :
2019

Abstract

Bibliometric research focuses on the statistical analysis of publications. It is a method that is frequently used to classify the information with various variables such as institutions, journals, countries and authors. This paper presents a general overview of research that has been reported on abrasive water jet machining by using the bibliometric indicators. The essential features of bibliometric indicators are that these indicators come out with a general picture of abrasive water jet research. The paper is divided into key analysis sections which focused on relevant journals, research papers, authors, institutions and countries that have contributed to abrasive water jet research. The bibliometric research is conducted through Web of Science database. The goal of this paper is to be informative with this topic, and the indicators summarize the essential research in this field. The analysis shows that the number of publications on abrasive water jet and their citations are consistently increasing over the past years. The data indicates that the Wang J is the most influential and active author in abrasive water jet research and some of the other main leaders in this field are Hloch S, Kovacevic R and Axinte D. The two most influential journals are the International Journal of Advanced Manufacturing Technology and the Journal of Materials Processing Technology and the most influential country is United States of America followed by Czech Republic in abrasive water jet research. Furthermore, the bibliometric analysis reveals the links among the co-authors, co-citation authors and partnering institutions working in AWJ research field. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10183639
Volume :
31
Issue :
3
Database :
Supplemental Index
Journal :
Journal of King Saud University - Engineering Sciences
Publication Type :
Academic Journal
Accession number :
136646017
Full Text :
https://doi.org/10.1016/j.jksues.2018.02.002