This paper investigates the impact of institutes and papers over time based on the heterogeneous institution-citation network. A new model, IPRank, is introduced to measure the impact of institution and paper simultaneously. This model utilises the heterogeneous structural measure method to unveil the impact of institution and paper, reflecting the effects of citation, institution, and structural measure. To evaluate the performance, the model first constructs a heterogeneous institution-citation network based on the American Physical Society (APS) dataset. Subsequently, PageRank is used to quantify the impact of institution and paper. Finally, impacts of same institution are merged, and the ranking of institutions and papers is calculated. Experimental results show that the IPRank model better identifies universities that host Nobel Prize laureates, demonstrating that the proposed technique well reflects impactful research.

中文翻译：

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通过机构引文网络衡量机构和论文的影响

本文基于异构机构引文网络调查了机构和论文随时间的影响。引入了一种新模型 IPRank 来同时衡量机构和论文的影响。该模型利用异质结构测度方法揭示制度和论文的影响，反映引文、制度和结构测度的影响。为了评估性能，该模型首先构建了一个基于美国物理学会 (APS) 数据集的异构机构引文网络。随后，PageRank 用于量化机构和论文的影响。最后合并同一机构的影响，计算机构和论文的排名。