论文标题
跨场会影响高度引用的研究人员的区域和特异性分布吗？
Does Cross-Field Influence Regional and Field-Specific Distributions of Highly Cited Researchers?
论文作者
论文摘要
Clarivate Analytics每年11月宣布高度引用的研究人员（HCRS），以认识到过去十年中各自领域的真正先驱者，根据基于Web of Science数据库的引文分析，他们是1,000名。但是，多年来，HCR选择的基础科学规则一直在不断发展。因此，至关重要的是，当HCR在2018年之前和之后，HCR的学术相关性之间的比较研究至关重要。本文通过分析不同区域和基本科学指标（ESI）领域的HCR分布来评估2017年和2018年的测量结果，研究了将跨场类别引入原始21个ESI领域的效果，并描绘了按区域划分的HCR分布的准确图片，而没有测量偏见的影响。据信越野对区域和特定特定的HCR分布产生巨大影响，尤其是对于HCR数量大于150的研究领域。除了美国和中国以外的其他国家和地区，在跨场HCR纳入了跨场HCR之后，其动力最大。
Clarivate Analytics announces highly cited researchers (HCRs) every November to recognise true pioneers in their respective fields over the last decade who are one in 1,000 according to citation analysis based on the Web of Science database. However, the scientometric rules underlying HCR selections have constantly evolved over the years; thus, a comparative study between HCRs' academic relevance before and after 2018, when the cross field started to be included in HCR statistics, is essential. This paper evaluated the consistency of measurements in 2017 and 2018 by analysing HCR distributions by different regions and Essential Science Indicators (ESI) fields, studied the effects of introducing the cross-field category to the original 21 ESI fields, and portrayed the accurate picture of HCR distributions by region and subject without the influence of measurement biases. The cross field is believed to exert great impact on regional and field-specific HCR distributions, especially for research fields with HCR counts larger than 150. It was other countries and regions except the US and China that grew with the greatest momentum after the inclusion of cross-field HCRs.
