Mapping the Research Productivity on Water Conservation: A Scientometric Analysis

Stanleay, Dr.Prabakar and Nagarajan, Dr.M. and Sivankalai, Dr.S. (2021) Mapping the Research Productivity on Water Conservation: A Scientometric Analysis. In: I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India.

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Abstract

The importance of “Water Conservation” and scientometric study has been highlighted in the introductory part of the article. A few literatures related to the scientometric study have been reviewed. To know the reflection of the responsibility of the global scientists to conserve the water towards the protection of the society is the aim of this scientometric study. The data selected for the scientometric study is limited to eight years from 2011 to 2018 and also the data is confined to the database “Web of Science”. Appropriate hypotheses have been framed and tested with statistical tools such as Regression and Kolmogorov Smirnov Test. The deviation among the year wise number of publications are tested through Regression Test and found that the data are suitable for the calculation of doubling time. The minimum time to be taken for the doubling of records will be5 months and 8 days and the maximum time to be taken for the doubling of records will be 9 months. The “Journal Articles’ and the language “English” played dominant role over the entire period of research publications. .Kolmogorov Smirnov Test proved that Lotka’s Law of author productivity does not fit for the research publications author productivity on “Water Conservation”. The Bradford’s Law identified that 25 journals are most productive. The article is concluded with a suggestion to the concerned global ministries and sponsoring bodies to encourage the scientists to enhance the “Water Conservation”..

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: scientometric water conservation regression test doubling time lotka’s law kolomogorov smirnov test bradford’s law
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
Depositing User: EAI Editor IV
Date Deposited: 21 Jun 2021 08:08
Last Modified: 21 Jun 2021 08:08
URI: https://eprints.eudl.eu/id/eprint/3847

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