  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.
