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Supercomputing: A scientometric assessment of global publications output during 2007–16
COLLNET Journal of Scientometrics and Information Management ( IF 1.6 ) Pub Date : 2018-07-03 , DOI: 10.1080/09737766.2018.1545395
S. M. Dhawan 1 , B. M. Gupta 2 , Ritu Gupta 3
Affiliation  

The paper examines global publications output (8647) on supercomputing research on various publication and citation indicators with a view to map status of supercomputing research covering publications as indexed in Scopus database during 10 – year period 2007 – 16. Supercomputing research registered 8.45% growth per annum and averaged 6.62 citations per paper during the period. 98.23% of global supercomputing research has been contributed by just 12 countries, with USA accounting for the highest 40% share. The UK tops in relative citation index in this field with its citation performance rated well above the world average of 1.32. International collaboration has been as one of the major drivers of supercomputing research as 21.88% to 69.95% of output by top 12 countries appeared as international collaborative publications. Computer Science has come up as the most popular sub – fields in supercomputing research with 71.63% highest publications share. The study further identifies top 15 most productive organizations and authors, top 49 papers with 100+ citations, and top 16 journals in supercomputing research. The study concludes that ongoing government funding and support is critical to catalyze growth and expansion of applications, capacities, and capabilities in supercomputing research and also to improve and expand its performance in quantitative and qualitative terms.

中文翻译:

超级计算:2007-16 年全球出版物产出的科学计量评估

该论文根据各种出版物和引文指标检查了超级计算研究的全球出版物产出 (8647),以了解 2007-16 年 10 年期间 Scopus 数据库中索引的出版物的超级计算研究状况。超级计算研究每年增长 8.45%在此期间,平均每篇论文被引用 6.62 次。全球98.23%的超级计算研究仅由12个国家贡献,其中美国占40%的份额最高。英国在该领域的相对引文指数中名列前茅,其引文表现远高于世界平均水平 1.32。国际合作一直是超级计算研究的主要推动力之一,排名前 12 位的国家有 21.88% 至 69.95% 的产出作为国际合作出版物出现。计算机科学以 71.63% 的最高发表份额成为超级计算研究中最受欢迎的子领域。该研究进一步确定了前 15 名最具生产力的组织和作者、前 49 篇被引用超过 100 次的论文以及前 16 名超级计算研究期刊。该研究得出的结论是,持续的政府资助和支持对于促进超级计算研究中的应用、能力和能力的增长和扩展以及在数量和质量方面改进和扩展其性能至关重要。
更新日期:2018-07-03
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