{"title":"量化研究出版效率:HY 指数和 h 指数的比较分析","authors":"M. S. J. Alzahrani, H. Youssef, N. Alghamdi","doi":"10.21833/ijaas.2023.11.004","DOIUrl":null,"url":null,"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.","PeriodicalId":46663,"journal":{"name":"International Journal of Advanced and Applied Sciences","volume":"58 1","pages":""},"PeriodicalIF":0.4000,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Quantifying research publication efficiency: A comparative analysis of the HY-index and the h-index\",\"authors\":\"M. S. J. Alzahrani, H. Youssef, N. Alghamdi\",\"doi\":\"10.21833/ijaas.2023.11.004\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":46663,\"journal\":{\"name\":\"International Journal of Advanced and Applied Sciences\",\"volume\":\"58 1\",\"pages\":\"\"},\"PeriodicalIF\":0.4000,\"publicationDate\":\"2023-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Advanced and Applied Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21833/ijaas.2023.11.004\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Advanced and Applied Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21833/ijaas.2023.11.004","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
摘要
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。
Quantifying research publication efficiency: A comparative analysis of the HY-index and the h-index
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.