Impact of Research on Marine Engineering By Means of Scientometric Analysis

  • S. Prabakar Librarian, AMET – Deemed to be University, Chennai
  • M. Nagarajan Assistant Librarian, AMET – Deemed to be University, Chennai
  • A. Thirumagal Librarian, MS University, Thirunelveli
Keywords: Marine Engineering – Scientometric – Regression Test

Abstract

The article starts with an introduction about the important role of the Seafarers and theMarine Bulk Carriers in the role of the development of economic condition of global countries as well as to know about the quantitative analysis of the literatures indexed in SCOPUS about the courageous career “Marine Engineering”.  Related scientometric literatures are reviewed to accomplish the task. Need for the Study, Methodology and Limitations of the study are clearly accentuated. Year wise percentage analysis and regression test proves that there are no relationships between publications published from one year to another.  Percentage analysis of the type of documents and language wise publications are ascertained. Ranking of top five authors and the degree of collaboration has been identified.  Top ten country wise publications with h-index and number of citations are identified and tabulated.  It has been concluded that the courageous professionals have no time to register their strife, they come across in their day-to-day off-shore life, as it results a very low  publicationsare indexed in SCOPUS.Therefore, it is suggested to the Director General of Shippingto allocate more funds and efforts to enhance research contributions on “Marine Engineering”.

References

1. Rajendran, P., Jeyshankar, R., &Elango, B. (2011). Scientometric analysis of contributions to Journal of Scientific and Industrial Research. International Journal of Digital Library Services, 1(2), 79-89.
2. Serenko, A., Bontis, N., Booker, L., Sadeddin, K., &Hardie, T. (2010). A scientometric analysis of knowledge management and intellectual capital academic literature (1994-2008). Journal of knowledge management, 14(1), 3-23.
3. Heilig, L., &Voß, S. (2014). A scientometric analysis of cloud computing literature. IEEE Transactions on Cloud Computing, 2(3), 266-278.
Published
2018-10-27
Section
Articles