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An Empirical Analysis of Big Scholarly Data to Find the Increase in Citations

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 862))

Abstract

The research quality and productivity of a research area are decided by the number of research articles and citations. Several factors affect the citation count of a research article. The objective of this paper is to find the influences of social media and abstract views in the increase of citations. The relationship between social media influence and abstract count on the overall citations is evaluated on the top cited research articles of cloud computing area. More research focus is needed to analyze the social media influence score. The research scholars, research organizations, funding agencies, and various communities can increase their research productivity and research impact through this analysis.

Please note that the LNCS editorial assumes that all authors have used the western naming convention, with given names preceding surnames. This determines the structure of the names in the running heads and the author index.

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Correspondence to J. P. Nivash .

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Nivash, J.P., Dhinesh Babu, L.D. (2019). An Empirical Analysis of Big Scholarly Data to Find the Increase in Citations. In: Satapathy, S., Bhateja, V., Somanah, R., Yang, XS., Senkerik, R. (eds) Information Systems Design and Intelligent Applications. Advances in Intelligent Systems and Computing, vol 862. Springer, Singapore. https://doi.org/10.1007/978-981-13-3329-3_5

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