Quantifying research publication efficiency: A comparative analysis of the HY-index and the h-index

IF 0.4 Q4 MULTIDISCIPLINARY SCIENCES International Journal of Advanced and Applied Sciences Pub Date : 2023-11-01 DOI:10.21833/ijaas.2023.11.004
M. S. J. Alzahrani, H. Youssef, N. Alghamdi
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Abstract

Efficiently quantifying the scholarly output of researchers, scientists, academic institutions, departments, and universities is of paramount importance within academic circles. This study centers on the application of a novel index known as the HY-Index, designed to evaluate the quality of articles from various sources, with the primary aim of addressing the limitations associated with established indices, notably the widely-used h-index. We deploy the HY-Index alongside the h-index to assess the performance of the top fifty researchers affiliated with Umm Al-Qura University, using data from the Google Scholar database. Comparative analyses are conducted, and rankings based on the HY-Index and h-index are scrutinized to determine which index offers a more suitable approach for quantifying researcher efficiency. Our findings reveal that the linear trend equation of the HY-Index rank closely aligns with the linear trend equation of the citation rank, surpassing the alignment observed with the h-index rank. Additionally, the linear trend equation of the HY-Index rank exhibits greater similarity to the linear trend equation of the publications rank compared to the h-index rank. Consequently, the HY-Index provides a more precise means of assessing author quality based on both citation and publication rankings, offering a fairer measurement of author quality compared to the h-index.
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量化研究出版效率:HY 指数和 h 指数的比较分析
有效量化研究人员、科学家、学术机构、院系和大学的学术成果在学术界至关重要。本研究的核心是应用一种被称为 HY-Index 的新型指数,该指数旨在评估各种来源的文章质量,其主要目的是解决与现有指数(尤其是广泛使用的 h 指数)相关的局限性。我们利用谷歌学术数据库中的数据,将 HY-Index 与 h-index 结合使用,对乌姆阿库拉大学附属的前五十名研究人员的表现进行了评估。我们进行了比较分析,并仔细研究了基于 HY-Index 和 h-index 的排名,以确定哪种指数更适合量化研究人员的效率。我们的研究结果表明,HY-Index 排名的线性趋势方程与引文排名的线性趋势方程非常吻合,超过了 h 指数排名的吻合程度。此外,与 h 指数排名相比,HY 指数排名的线性趋势方程与出版物排名的线性趋势方程更为相似。因此,HY-Index 提供了一种基于引文和论文排名的更精确的作者质量评估方法,与 h 指数相比,能更公平地衡量作者质量。
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来源期刊
CiteScore
0.80
自引率
0.00%
发文量
234
审稿时长
8 weeks
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