同行评议是当前对科研项目水平进行科学评价的主要方式之一，然而评议过程中专家评审能力的差别将会对科研项目评审结果产生影响。为此，本文提出了一种基于PageRank算法的评审专家信誉度度量方法，该方法首先利用高斯分布函数计算评审专家的评审能力，然后利用PageRank迭代算法对评审专家的信誉度进行求解，最后通过引入时间因子对评审专家的信誉度进行度量。基于同行评议真实数据集上的实验结果验证了本文提出方法的有效性，该方法将为科研项目评审及专家遴选提供有益参考。

Currently, peer review is one of the most effective approaches to evaluate the scientific project. However, the fairness of peer review results is seriously affected by various levels of reviewers in the process of peer review. Faced with the problem，this paper proposes a reviewer reputation measuring approach based on PageRank algorithm. Firstly, the proposed approach calculates the review level of reviewers based on Gaussian distribution, and then computes the current reputation of each reviewer based on PageRank algorithm. Finally, the proposed approach adopts the time factor to measure the reviewer reputation of all reviewers. Experimental results based on real reviewer data shows the effectiveness of the proposed approach. The approach will provide useful references for selecting peer reviewers.