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A Discrimination Index Based on Jain's Fairness Index to Differentiate Researchers with Identical H-index Values
Journal of Data and Information Science ( IF 1.5 ) Pub Date : 2020-07-24 , DOI: 10.2478/jdis-2020-0026
Adian Fatchur Rochim 1 , Abdul Muis 2 , Riri Fitri Sari 2
Affiliation  

Abstract Purpose This paper proposes a discrimination index method based on the Jain's fairness index to distinguish researchers with the same H-index. Design/methodology/approach A validity test is used to measure the correlation of D-offset with the parameters, i.e. H-index, the number of cited papers, the total number of citations, the number of indexed papers, and the number of uncited papers. The correlation test is based on the Saphiro-Wilk method and Pearson's product-moment correlation. Findings The result from the discrimination index calculation is a two-digit decimal value called the discrimination-offset (D-offset), with a range of D-offset from 0.00 to 0.99. The result of the correlation value between the D-offset and the number of uncited papers is 0.35, D-offset with the number of indexed papers is 0.24, and the number of cited papers is 0.27. The test provides the result that it is very unlikely that there exists no relationship between the parameters. Practical implications For this reason, D-offset is proposed as an additional parameter for H-index to differentiate researchers with the same H-index. The H-index for researchers can be written with the format of “H-index: D-offset”. Originality/value D-offset is worthy to be considered as a complement value to add the H-index value. If the D-offset is added in the H-index value, the H-index will have more discrimination power to differentiate the rank of the researchers who have the same H-index.

中文翻译:

基于Ja那教公平指数的区分指数,以区分具有相同H指数值的研究人员

摘要目的提出一种基于the那教公平指数的歧视指数方法,以区分具有相同H指数的研究者。设计/方法/方法有效性测试用于测量D偏移与参数的相关性,这些参数包括H指数,被引论文的数量,引文总数,被索引论文的数量和未被引用的数量。文件。相关检验基于Saphiro-Wilk方法和Pearson的乘积矩相关。结果辨别指数计算的结果是两位十进制值,称为辨别偏移(D-offset),D偏移的范围为0.00至0.99。D偏移量与未引用论文数之间的相关性值为0.35,D偏移量与索引论文数之间的相关值为0.24,被引论文为0.27。该测试提供的结果是,参数之间几乎不存在联系的可能性很小。实际意义为此,建议将D偏移作为H指数的附加参数,以区分具有相同H指数的研究人员。研究人员的H指数可以用“ H指数:D偏移”的格式编写。独创性/值D偏移值得被视为与H索引值相加的补充值。如果在H指数值中添加D偏移,则H指数将具有更大的区分能力,以区分具有相同H指数的研究人员的排名。提出将D偏移作为H指数的附加参数,以区分具有相同H指数的研究人员。研究人员的H指数可以用“ H指数:D偏移”的格式编写。独创性/值D偏移值得被视为与H索引值相加的补充值。如果在H指数值中添加D偏移,则H指数将具有更大的区分能力,以区分具有相同H指数的研究人员的排名。提出将D偏移作为H指数的附加参数,以区分具有相同H指数的研究人员。研究人员的H指数可以用“ H指数:D偏移”的格式编写。独创性/值D偏移值得被视为与H索引值相加的补充值。如果在H指数值中添加D偏移,则H指数将具有更大的区分能力,以区分具有相同H指数的研究人员的排名。
更新日期:2020-07-24
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