Aquaculture Research Outputs from Scopus Database: A Bibliometric Analysis

Authors

  • S. Kanakaraj Assistant Technical Officer, Arignar Anna Central Library, harathiar University, Coimbatore, Tamil Nadu, India

DOI:

https://doi.org/10.51983/ijiss.2016.6.1.440

Keywords:

Aquaculture, Bibliometric, Bradford’s Law, Lotka’s Law, Zip’s Law, Vos Viewer

Abstract

This study aims to research output of aquaculture research indexed to the Scopus database during 1999-2013. About 1,06,227 bibliographical records were downloaded from Scopus database during 1999-2013. The present study demonstrates the various aspects such as year wise distribution of article, source wise distribution of article, Bradford’s law of scattering, Lotka’s law of author productivity, Zipf’s law analysis of word frequency have been analysed.

References

McKiernan, G. (2005). Bibliometrics, cybermetrics, informetrics, and scientometrics sites and sources. Science and Technology Libraries, 26(2), 107-115.

Surulinathi, M., et al. (2011). Scientometric profile of solar energy research in India. Recent Research in Science and Technology, 3(10), 112-117.

Swain, D. K., & Panda, K. C. (2012). Journal of Intellectual Property Rights, 2002-2010: A Bibliometric Study. Chinese Librarianship: An International Electronic Journal, 33. Retrieved from http://www.iclc.us/cliej/cl133SP.pdf. Accessed on 26/02/2012.

Si, Linbo (2010). The application of scientometrics in the appraisal of periodical academic influence. Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University, 35(1), 200-204.

Wilson, I. (1998). Informatics: An emerging subdiscipline in information science. Asian Libraries, 7(10), 257-268.

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Published

16-01-2016

How to Cite

Kanakaraj, S. (2016). Aquaculture Research Outputs from Scopus Database: A Bibliometric Analysis. Indian Journal of Information Sources and Services, 6(1), 20–29. https://doi.org/10.51983/ijiss.2016.6.1.440