The ongoing discussion regarding the utilization of individual research performance for academic hiring, funding allocation, and resource distribution has prompted the need for improved metrics. While traditional measures such as total publications, citations count, and the h-index provide a general overview of research impact, they fall short of capturing the continuous contribution of researchers over time. To address this limitation, we propose the implementation of the Kz index, which takes into account both publication impact and age. In this study, we calculated Kz scores for 376 research profiles. Kz reveals that the researchers with the same h-index can exhibit different Kz scores, and vice versa. Furthermore, we observed instances where researchers with lower citation counts obtained higher Kz scores, and vice versa. Interestingly, the Kz metric follows a log-normal distribution. It highlights its potential as a valuable tool for ranking researchers and facilitating informed decision-making processes. By measuring the continuous research impact, we enable fair evaluations, enhance decision-making processes, and provide focused career advancement support and funding opportunities.

翻译：关于将个人科研绩效用于学术招聘、经费分配和资源分配决策的持续讨论，凸显了改进评估指标的迫切需求。虽然总发文量、被引次数和h指数等传统指标能提供科研影响力的总体概览，但它们未能捕捉研究者随时间推移的持续贡献。为弥补这一不足，我们提出采用Kz指数——该指标综合考虑了论文影响力与时间维度。本研究对376个科研档案进行了Kz评分计算。结果表明，具有相同h指数的研究者可能呈现不同的Kz得分，反之亦然。此外，我们还观察到低被引次数研究者获得更高Kz得分（以及相反情况）的实例。值得注意的是，Kz指标遵循对数正态分布。这凸显了其作为研究者排序工具和促进科学决策的潜在价值。通过测量持续科研影响力，我们能够实现公平评估、优化决策过程，并为职业发展支持和经费分配提供精准导向。