[目的/意义]期刊评价指标是期刊某个视角水平的综合体现,因此有必要必须不断深化和发展;提出一个新的期刊存量指标——历史影响因子,就是期刊总被引频次除以载文量再除以办刊年限。[方法/过程]以科技管理类期刊为例,基于中国知网数据库CNKI,采用相关系数、聚类分析、岭回归进行了实证。[结果/结论]研究表明,历史影响因子兼有影响因子和h指数的优点,克服了传统期刊评价指标存量指标过少、不考虑期刊办刊时间、不考虑期刊载文数量等局限,是一个较好的期刊评价指标。历史影响因子没有考虑期刊自引问题,而且不同的引文数据库对历史影响因子的影响也比较大,在具体应用时可根据需要排除自引或选择其他引文数据库。

[Purpose/significance] Evaluation index of journals is the comprehensive reflection of journals in a perspective level, so it must be deepened and developed. This paper presents a new journal stock index-historical influence factor, which means the total cited frequency of journal divided by the published paper amount and then divided by running period. [Method/process] Taking technology management periodicals as an example, and based on Chinese Net database CNKI, this article uses correlation coefficient, cluster analysis and ridge regression for empirical study. [Result/conclusion] The result shows that history impact factor is an excellent journal evaluation index. Because it not only has the advantages of impact factor and H-index, but also overcomes the limitations of traditional periodicals, such as too little stock index, regardless the journals of time, regardless the number of periodicals. Historical influence factor does not consider the citation problems of journal itself and different citation database has great influence on historical influence factor. So in the specific application, it should exclude journal itself citations or choose other citation database according to needs.