在阐释作者加权引用内涵与类型基础上,从非迭代加权引用和迭代加权引用两个视角构建作者学术影响力评价模型.以国际信息计量学领域学者为评价对象,比较和检验了这两种模型之间以及与其他普遍流行的指标模型——被引次数、h指数、传统加权PageRank、加权PageRank_D之间的联系与区别.结果表明非迭代加权引用模型与迭代加权引用模型之间有很显著的较强相关性,但是两者之间仍然存在一定差异.迭代加权引用模型的检验效果最好,非迭代加权引用模型的检验效果居中,但AUC检验值也达到了0.9以上,检验效果亦优良.非迭代加权引用模型简单易懂、便于操作,能够较好地甄别出"领域活跃者";而迭代加权引用模型算法精准,能够较好地甄别出"领域先行者".在实际中,可以根据自身需求选择最合适的评价模型.%Based on the explanation of the connotation and type of weighted citation, two models for author academic influence evaluation from the non-iteration and iteration perspectives are built. This study takes international authors in informetrics as research objects and then analyzes and tests the differences between the two models and those of another four popular models—citation count, h-index, traditional weighted PageRank, and weighted PageRank_D. The results show that the relation between the two models is high and significant, nonetheless they are different. The test effect of the iteration model is dominant, while that of non-iteration model is ranked in the middle, but its AUC value comes to more than 0.9, indicating its test effect is also good. The non-iteration model is easily understood and conveniently operated, and can distinguish the active scholars in the field; however, the iteration model is more pre-cise in terms of algorithm and can discern the foregoers. In practice, we can select a proper evaluation model accord-ing to self-requirement.
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