定义识别有影响力的研究人员的定量规则:来自数学领域的见解
Ghulam Mustafa1, Abid Rauf1, Ahmad Sami Al-Shamayleh2
1Department of Computer Science, Univeristy of Engineering and Technology, Taxila, 47080, Punjab, Pakistan.
Heliyon
|December 13, 2024
概括
本研究制定了明确的规则,用于识别使用定量数据的有影响力的数学研究人员. 根据关键绩效指标制定的标准有助于识别杰出的科学家并改善研究评估.
科学领域:
- 数学 数学 是一个数学.
- 图书统计学 图书统计学
- 科学测量公司的科学测量.
背景情况:
- 鉴定有影响力的研究人员是具有挑战性的,因为缺乏标准化的标准.
- 现有的研究依赖于搜索引擎 (如谷歌学者,科学网) 的定量数据,但在评估指标方面缺乏共识.
- 需要一种系统的方法来提名和认可基于可衡量的成就的杰出科学家.
研究的目的:
- 制定一套全面的规则,用于识别具有影响力的数学研究人员.
- 从特定类别内的前五个定量参数中推导出这些规则.
- 为研究人员和科学界在评价和表彰杰出科学家方面提供指导.
主要方法:
- 利用了525名获奖者和525名数学非获奖者的数据集.
- 根据重要性得分,选择了每个类别的五个最关键的定量参数.
- 应用决策树算法来开发获奖者和非获奖者的分类规则.
主要成果:
- 决策树算法在识别数学奖得主方面实现了平均准确度为70-75%.
- 排名最高的参数成功地将50-55%的获奖者提升到排名前100名的研究人员中.
- 开发的规则为排名和识别有影响力的数学家提供了数据驱动的方法.
结论:
- 该研究提供了一个强大的,数据驱动的框架,用于评估研究人员在数学方面的影响.
- 这些发现可以指导个人研究人员寻求认可,并协助科学界进行客观评估.
- 建立的标准有助于公平和一致地承认该领域的杰出贡献.
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