h指数综合赋权及应用研究

Weighted h-index and Its Application

[目的/意义]解决h指数及类h指数缺乏对科研工作者整体学术进行综合评价的问题。[方法/过程]着重考虑科研工作者前h指数篇学术论文的综合贡献,构建hw与hw_t两个加权h指数模型,选取图书情报领域近年来较为活跃的30位学者进行实证分析。[结果/结论] hw指数是一个彰显高被引论文、考虑科研工作者每篇文献贡献度的综合评价指标;与h指数相比,hw指数易于区分学者科研贡献度,并在一定程度上减少自引对结果的影响。hw_t指数侧重学者近年研究成果,结合过往贡献,在短期评价中对青年学者和过往贡献较大的学者均更为合理;对比分析hw指数与hw_t指数,可以发现潜力学者。

[Purpose/significance]This paper aims to solve the problem that h-index and h-type index cannot make comprehensive evaluation of scientists’overall academic contribution.[Method/process]Considering the contribution of scientists’first h pieces of academic papers,the paper proposes the weighted h-index model of hw-index and hw_t-index,and uses the data of 30 active Chinese scholars in Library and Information Science field for empirical analysis.[Result/conclusion]Revealing highly cited papers and considering the contribution of scientists’every paper,hw-index not only weakens the influence of self-citation on the results,but also makes it easy to distinguish scientists’contributions when compared with h-index.The hw_t-index focuses on scientists’papers in recent years and previous contributions,so it is more reasonable to evaluate young scientists in a short period and scholars who have more contribution in the past years.Potential scholars can be identified by the way of comparing hw-index and hw_t-index.