Abstract
In this paper, we present and analyze comprehensive data about scholarly contributions that were indexed in Scopus database between 2012 and 2017. The datasets are categorized (based on the country where the research was carried out) into: Africa; Asia Pacific; Europe; Middle East; North America; and South America. Scholarly contributions of each region are measured based on fifteen Scival metrics namely: grant award volume (count); grant award volume (value); international collaboration; academic-corporate collaboration; scholarly output; citations; field-weighted citation impact; outputs in top citation percentiles; publications in top journal percentiles; citations per publications; publication views; citing-patents count; patent-cited scholarly output; patent-citations count; and the number of authors. Frequency distributions and trends across the six-year study period are presented in graphs and plots. The analyses provided in this paper are made easy to facilitate further inferential studies towards a more objective and better decision making by research institutions.
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Acknowledgement
This work was carried out under the IoT-Enabled Smart and Connected Communities (SmartCU) research cluster of the Department of Electrical and Information Engineering, Covenant University, Ota, Nigeria. The research was fully sponsored by Covenant University Centre for Research, Innovation and Development (CUCRID), Covenant University, Ota, Nigeria.
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Popoola, S.I., Atayero, A.A., Steve-Essi, O.F., Misra, S. (2019). Data Analytics: Global Contributions of World Continents to Computer Science Research. In: Misra, S., et al. Computational Science and Its Applications – ICCSA 2019. ICCSA 2019. Lecture Notes in Computer Science(), vol 11623. Springer, Cham. https://doi.org/10.1007/978-3-030-24308-1_41
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DOI: https://doi.org/10.1007/978-3-030-24308-1_41
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