{"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}
引用次数: 0
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.