中国科学院外籍院士对中国学术产出影响力分析——基于合作产出视角

The Impact Analysis of Foreign Academicians of Chinese Academy of Sciences on Chinese Academic Output: Based on Collaborative Output

针对“中国科学院外籍院士在不同领域内对于中国国际合作学术产出水平的影响”这一问题,以Scopus、SciVal和中国科学院官方网站为数据来源,以2009—2018年中国科学院外籍院士与中国学者的学术合作产出为样本,构建领域合作强度影响力、领域合作水平影响力指数,建立二维影响力分析矩阵模型,综合分析中国科学院外籍院士对中国国际合作学术产出的影响力。结果表明:(1)欧洲区外籍院士与中国学者的合作呈现明显两极分化态势,在不同领域对中国学术国际合作产出水平有不同影响;(2)美洲区外籍院士与中国学者在各领域内的合作强度和合作水平上呈良好态势,对中国国际学术合作产生了积极影响;(3)亚太区外籍院士对中国国际合作学术产出的影响力略显不足。基于此,提出要针对各地区外籍院士与中国学者的学术合作特点,在资源配置和合作模式探索上展开具体分析。

To look into the influences and contributions of foreign academicians of Chinese Academy of Sciences(CAS)to the Chinese international cooperative academic output,this paper takes the academic collaborative output data between CAS foreign academicians in different geographical regions and Chinese scholars as research sample,which are collected from Scopus,SciVal and official website of CAS,and further analyses through creating a two-dimension research influence matrix model.It manages to establish two original innovative influence indexes,namely’impact of collaboration intensity’and’impact of collaboration leve’.Based on the analytical results of the 2D influence matrix model,it draws the following conclusions:(1)The international collaboration between CAS foreign academicians in Europe region and Chinese scholars indicates a major disparity in various research fields,some research areas show a great achievement on both collaborative intensity and level,whilst some remain quite weak.(2)The international cooperation between CAS foreign academicians in Americas regions and Chinese scholars suggests a strong and healthy momentum,in which CAS foreign academicians in Americas have exerted positive influences on Chinese international research output.(3)Yet,the international cooperation between CAS foreign academicians in Asia and Pacific areas and Chinese scholars shows a relatively weak sign,from both collaborative intensity and level perspective.Based on the research findings,it suggests to set up specific and targeted analyses on resource allocation and cooperative mechanism according to the collaborative traits in each geographic region.