RPYS is a bibliometric method originally introduced in order to reveal the historical roots of research topics or fields. RPYS does not identify the most highly cited papers of the publication set being studied (as is usually done by bibliometric analyses in research evaluation), but instead it indicates most frequently referenced publications - each within a specific reference publication year. In this study, we propose to use the method to identify important researchers, institutions and countries in the context of breakthrough research. To demonstrate our approach, we focus on research on physical modeling of Earth's climate and the prediction of global warming as an example. Klaus Hasselmann and Syukuro Manabe were both honored with the Nobel Prize in 2021 for their fundamental contributions to this research. Our results reveal that RPYS is able to identify most important researchers, institutions, and countries. For example, all the relevant authors' institutions are located in the USA. These institutions are either research centers of two US National Research Administrations (NASA and NOAA) or universities: the University of Arizona, Princeton University, the Massachusetts Institute of Technology (MIT), and the University of Stony Brook.
翻译:RPYS是最初为揭示研究课题或领域的历史根源而采用的一种生物计量方法。RPYS并不确定所研究的系列出版物中最引人注意的论文(通常通过研究评价中的生物计量分析进行),而是指出最经常引用的出版物 -- -- 每一出版物都在具体的参考出版年份内。在这项研究中,我们提议在突破性研究的背景下使用这种方法确定重要的研究人员、机构和国家。为了展示我们的方法,我们侧重于地球气候物理模型的研究以及全球变暖的预测,Klaus Hasselmann和Syukuro Manabe在2021年都荣获诺贝尔奖,因为他们为这项研究作出了基本贡献。我们的结果表明,RPYS能够确定最重要的研究人员、机构和国家。例如,所有有关的作者机构都设在美国。这些机构或是美国两个国家研究管理局(NASA和NOAAAA)的研究中心,或是亚利桑那大学、普林斯顿大学、麻省理工研究所(MIT)和Stony Brook大学。