衡量科研团队绩效：将 h-团队与同质性整合进 $\alpha$-指数
Measuring Scientific Group Performance: Integrating h-Group and Homogeneity into the $α$-Index
AI总结：
本文提出 alpha-index 方法，通过整合团队 h-index 同质性与 h-group 指标来衡量科研团队绩效，并在计算机科学会议评估中验证其与人工分类结果相近。
摘要：
对研究者团队进行排名在多种情境中具有重要意义，可用于基于科学家发表成果的资助公平分配、研究项目授予、期刊编辑委员会分类以及社会情境中的许多其他应用。本文提出一种衡量研究者团队绩效的方法，称为 alpha-index。该方法基于两个参数：（i）团队中研究者 h-index 的同质性；（ii）h-group，即 h-index 在团队层面的扩展。我们的方法将同质性概念与 h-index 的绝对值整合为一个适用于团队评估的单一度量。我们报告了基于程序委员会成员 h-index 评估计算机科学会议的实验。实验结果与一家研究机构采用的人工分类方案相似。
英文摘要：
Ranking groups of researchers is important in several contexts and can serve many purposes such as the fair distribution of grants based on the scientist's publication output, concession of research projects, classification of journal editorial boards and many other applications in a social context. In this paper, we propose a method for measuring the performance of groups of researchers. The proposed method is called alpha-index and it is based on two parameters: (i) the homogeneity of the h-indexes of the researchers in the group; and (ii) the h-group, which is an extension of the h-index for groups. Our method integrates the concepts of homogeneity and absolute value of the h-index into a single measure which is appropriate for the evaluation of groups. We report on experiments that assess computer science conferences based on the h-indexes of their program committee members. Our results are similar to a manual classification scheme adopted by a research agency.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
