Variation in Citation Based Fractional Counting of Authorship

Tehmina Amjad, I. Ahmad, M. Shaikh, Nabila Naz
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引用次数: 1

Abstract

Existing indexing methods do not consider the variation among number of citations received by publications of authors. In this paper, we propose variation in citation based fractional index  which not only consider the number of authors but also the variation factor in the number of citations.   Index considers the consistency in received citations of publication in addition to their quality and quantity for indexing. We have used Co-efficient of quartile deviation for calculation of variation in received citations because it is sensitive for both skewed and un-skewed data. We have used real world data for validation purpose and have used fractional h- and g-index as our baseline indexing methods. We compared the results of our proposed method with baseline methods and have analyzed that our intuition has clear impact on the authors indexing. Author on higher index in fractional index gets impacted by -index and its rank changes accordingly. Baseline methods do not considers variation factor and it is possible that authors with inconsistent citations receive high index value but if we use variation factor then our results will be more consistent. More the Co-efficient of quartile deviation lower the consistency and thus lower indexing.
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基于引文的作者分数计数的变化
现有的索引方法没有考虑作者的出版物被引次数的变化。本文提出了一种既考虑作者数量又考虑被引次数变化因子的基于引文分数指数的变化方法。索引除了考虑出版物的质量和数量外,还考虑出版物收到的引用的一致性。我们使用四分位数偏差的系数来计算收到的引用的变化,因为它对偏斜和非偏斜数据都很敏感。我们使用真实世界的数据进行验证,并使用分数h-和g-index作为基准索引方法。我们将我们提出的方法的结果与基线方法进行了比较,并分析了我们的直觉对作者索引有明显的影响。分数索引中高索引的作者受到-索引的影响,其排名也随之变化。基线方法不考虑变异因子,有可能被引不一致的作者获得较高的指标值,但如果我们使用变异因子,我们的结果将更加一致。四分位数偏差的系数越高,一致性越低,指数越低。
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