大数据出版趋势:科学计量学分析

S. Baskaran
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摘要

本文旨在利用Web of Science数据库分析2011-2020年全球大数据出版趋势。该数据库包含45249份出版物。平均每年发表4524.9篇。2011年只有1058篇论文发表,在此期间发表的论文数量持续增长。最高的出版物9389是在2020年。与其他国家相比,来自美国的作者贡献了最多的出版物,而在此期间,印度的生产力仅为11。有关大数据的出版物以22种语言出版。该研究分析了大数据文献的广泛特征,重点是出版物的增长率、最多产的作者、出版物的国家分布、高生产力的机构、出版物的语言分布、最受欢迎的来源标题和高生产力的主题领域。
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Publications trends in big data: A scientometric analysis
The present paper is aimed at analysing the global publications trends on big data using Web of Science database for the period 2011-2020. The database contained 45249 publications. The average number of publications per year was 4524.9. There were only 1058 publications in 2011 and a continuous growth of publication was observed during the period. The highest publication 9389 was in 2020. Authors from USA have contributed maximum number of publications compared to the other countries and India stood 11in terms of productivity in this period. Publications on big data are spread over 22 languages. The study analysed the broad features of literature on big data focusing on growth rate of publications, most prolific authors, country wise distribution of publications, highly productive institutes, language wise distribution of publications, most preferred source titles and high productivity subject areas.
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