国际科研合作对科研绩效的影响研究综述

[目的/意义]科研合作是不同科研主体之间围绕特定科学问题开展研究的协同研究工作,以实现科研主体间的优势互补。国际科研合作对促进科研绩效具有重要意义。了解当前国际科研合作对科研绩效影响研究的现状,为未来进一步开展该方面的研究提供参考和借鉴。[方法/过程]论文在界定国际科研合作、科研绩效两个重要概念的基础上,从研究层次、分析指标、分析方法3个维度对国际科研合作对科研绩效影响研究的论文进行梳理。[结果/结论]分析发现,目前该研究领域成果丰富,国内外学者主要从宏观（国家、地区或区域等）、中观（领域或机构、团队等）、微观（科研人员个体）3个层面,通过简单计数类和单一比值类国际科研合作指标以及科研产出数量类、科研产出质量类和h指标类科研绩效指标,采用文献计量学方法、社会网络分析方法及统计学分析的方法对国际科研合作对科研绩效的影响进行探析。未来需加强：科学家层面的研究,拓宽更多科研合作行为的分析;表征科研合作和科研绩效综合类指标的探索;针对性分析模型的创建,并对一些具有重要意义的变量进行控制。

A Review of the Impact of International Collaboration on Research Performance

[Purpose/significance] Research collaboration is a collaborative research work between different scientific research subjects on specific scientific issues to achieve complementary advantages. International research collaboration is of great significance to promote research performance. Understanding the current research status of the impact of international collaboration on research performance will provide a reference for the future research.[Method/process] This paper analyzes the literature about the impact of international collaboration on research performance from research sample, analysis indicators and analysis method based on the definition of international collaboration and research performance.[Result/conclusion] The analysis results show that the research field is rich in results at present. Domestic and international scholars are mainly from the macro (country or regional, etc.), meso (fields or institutions, teams, etc.) and micro (individuals) -3 levels, using bibliometric, social network analysis and statistical analysis to study on the impact of international collaboration on research performance,with the help of rich international collaboration indicators (simple count indicators and single ratio indictors) and research performance indicators (quantity indicators, quality indictors and indictors like h-index). The research needs to be strengthened including studying at the level of scientists and broadening the analysis based on more research collaboration behaviors; exploring comprehensive indicators of research collaboration and research performance; creating targeted analysis models and controlling some important variables.