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首页> 外文期刊>Journal of Data and Information Science >A Discrimination Index Based on Jain's Fairness Index to Differentiate Researchers with Identical H-index Values
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A Discrimination Index Based on Jain's Fairness Index to Differentiate Researchers with Identical H-index Values

机译:基于Jain公平指数的歧视指数,以区分具有相同H级指数值的研究人员

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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.
机译:目的本文提出了一种基于耆那教的公平指数的歧视指标方法,以区分研究人员与同一H型指数。设计/方法/方法使用有效性测试来测量D-Offset与参数的相关性,即H-Index,引用的论文的数量,引用的总数,指数纸的总数以及未发现的数量以及未发现的数量文件。相关试验基于Saphiro-Wilk方法和Pearson的产品矩相关性。发现来自鉴别指数计算的结果是称为鉴别偏移(D-Offset)的两位数十进制值,D型偏移量为0.00至0.99。 D型偏移和未发现纸的数量之间的相关值的结果为0.35,具有分度纸的数量的D型偏移是0.24,引用的纸张的数量为0.27。测试提供了结果,即参数之间不太可能存在任何关系。为此原因,提出了D-Offset作为H-Index的附加参数,以区分具有相同H-Index的研究人员。研究人员的H-Index可以用“H-Index:D-Offset”的格式写入。原创性/值D-Offset值得被视为添加H-Index值的补充值。如果在H-index值中添加了D-expset,则H-Index将具有更多的歧视权来区分具有相同H-Index的研究人员的等级。

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