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Data Analytics: Global Contributions of World Continents to Computer Science Research

机译:数据分析:世界各大洲对计算机科学研究的全球贡献

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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.
机译:在本文中,我们介绍并分析了2012年至2017年间在Scopus数据库中检索的关于学术贡献的综合数据。亚太地区;欧洲;中东;北美;和南美。每个地区的学术贡献都是根据15个Scival指标进行衡量的,即:补助金授予量(计数);授予奖励数量(价值);国际合作;学术与企业之间的合作;学术成果;引文现场加权引证影响;最高引用百分位数的输出;顶级期刊百分位数的出版物;每个出版物的引用次数;出版物观点;引用专利数;引用专利的学术成果;专利引用计数;和作者人数。整个六年研究期间的频率分布和趋势以图表和曲线图的形式显示。本文提供的分析易于进行,以促进进一步的推论研究,以使研究机构做出更客观,更好的决策。

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