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The 'Academic Trace' of the Performance Matrix: A Mathematical Synthesis of the h-Index and the Integrated Impact Indicator (13)

机译:绩效矩阵的“学术轨迹”:h指数和综合影响指标的数学合成(13)

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摘要

The h-index provides us with 9 natural classes which can be written as a matrix of 3 vectors. The 3 vectors are: X = (X_1, X_2, X_3) and indicates publication distribution in the h-core, the h-tail, and the uncited ones, respectively; Y = (Y_1, Y_2, Y_3) denotes the citation distribution of the h-core, the h-tail and the so-called "excess" citations (above the h-threshold), respectively; and Z = (Z_1, Z_2, Z_3) = (Y_1-X_1, Y_2-X_2, Y_3-X_3). The matrix V = (X,Y,Z)~T constructs a measure of academic performance, in which the 9 numbers can all be provided with meanings in different dimensions. The "academic trace" tr(V) of this matrix follows naturally, and contributes a unique indicator for total academic achievements by summarizing and weighting the accumulation of publications and citations. This measure can also be used to combine the advantages of the h-index and the integrated impact indicator (13) into a single number with a meaningful interpretation of the values. We illustrate the use of tr(V) for the cases of 2 journal sets, 2 universities, and ourselves as 2 individual authors.
机译:h索引为我们提供了9个自然类,可以将其写成3个向量的矩阵。这三个向量分别是:X =(X_1,X_2,X_3),分别表示发布在h-core,h-tail和uncited中的分布; Y =(Y_1,Y_2,Y_3)分别表示h-core,h-tail和所谓的“ excess”引用(在h阈值以上)的引用分布;并且Z =(Z_1,Z_2,Z_3)=(Y_1-X_1,Y_2-X_2,Y_3-X_3)。矩阵V =(X,Y,Z)〜T构成了衡量学业成绩的指标,其中9个数字都可以提供不同维度的含义。该矩阵的“学术痕迹” tr(V)自然地遵循,并且通过汇总和加权出版物和引文的积累为总的学术成就做出独特的指示。该度量还可用于将h指数和综合影响指标(13)的优势组合为一个具有有意义的值解释的数字。我们举例说明了tr(V)在2种期刊集,2所大学和我们自己作为2位个人作者的情况下的用法。

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