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The scientific performance of 64 political science, sociology and marketing departments in Romania is investigated with the aid of the g-index. The assessment of departments based on the g-index shows, within each of the three types of departments that make up the population of the study, a strong polarisation between top performers (very few) and weak performers (much more numerous). This alternative assessment is also found to be largely consistent with an official ranking of departments carried out in 2011 by the Ministry of Education. To conduct the evaluation of departments the individual scientific output of 1385 staff members working in the fields of political science, sociology and marketing is first determined with the aid of the ‘Publish or Perish’ software based on the Google Scholar database. Distinct department rankings are then created within each field using a successive (second-order) g-index. 相似文献
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Starting from the notion of h-type indices for infinite sequences we investigate if these indices satisfy natural inequalities related to the arithmetic, the geometric and the harmonic mean. If f denotes an h-type index, such as the h- or the g-index, then we investigate inequalities such as min(f(X),f(Y)) ≤ f((X?+?Y)/2) ≤ max(f(X), f(Y)). We further investigate if: f(min(X,Y)) = min(f(X),f(Y)) and if f(max(X,Y)) = max(f(X),f(Y)). It is shown that the h-index satisfies all the equalities and inequalities we investigate but the g-index does not always, while it is always possible to find a counterexample involving the R-index. This shows that the h-index enjoys a number of interesting mathematical properties as an operator in the partially ordered positive cone (R+)∞ of all infinite sequences with non-negative real values.In a second part we consider decreasing vectors X and Y with components at most at distance d. Denoting by D the constant sequence (d,d,d, …) and by Y-D the vector (max(yr-d), 0)r, we prove that under certain natural conditions, the double inequality h(Y-D) ≤ h(X) ≤ h(Y?+?D) holds. 相似文献
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p 指数运用于人才评价的有效性实证研究 总被引：2，自引：0，他引：2
h指数用于高发文、高引用的学者评价是有效的,但对低发文、高引用的学者进行评价存在缺陷,且数值易于雷同,不易区分。p指数在学者研究绩效评价方面具有同h指数相一致的维度,它不仅考虑学者的被引次数(C),而且考虑学者的研究质量指标——平均被引率(C/N)。以图书情报与文献学科领域49位专家为例,对比分析专家的发文量(N)、被引次数(C)、平均被引率、专家h指标、g指数、p指数,并进行相关性分析。结论:p指数优于现有的h指数、g指数,更具有评价的合理性,应在更大范围内进一步使用。 相似文献
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介绍澳大利亚世界大学科研影响力排名(World High Impact University Ranking)的评价指标、评价方法,以及各国科研绩效按照学校排名和按照学科排名结果。特别分析这个排行榜中对中国高校的评价结果,并将结果与其他几种大学排行榜进行对比分析。通过介绍和分析运用h指数和g指数的科研绩效评估方法,可以看出这两种评估指标用于科研产出时,不失为简单、直观的评价方法,便于不同学科之间科研产出的表征,数据处理结果客观,并可以重现,是评价高等学校和研究机构科研绩效的方法之一。 相似文献
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从h指数、g指数和e指数的定义出发,通过数学推导和实例验证给出g指数与h指数、e指数的不等式关系和函数关系表达式;通过对文献检索数据的统计分析,总结出论文按引频大小递减排序时,引频数随论文序号的变化规律的数学表达式;通过实例计算和比较,证实g指数对引频数非常敏感,并对这种敏感性的根源进行分析。最后对如何利用g指数客观评价科技工作者学术水平的问题进行探讨。 相似文献
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《Journal of Informetrics》2020,14(2):101024
This article highlights the importance of using polar coordinates when studying functions, in particular in relation to generalized h-type indices. Concretely, generalized h-type indices are essentially polar coordinates. This observation ties informetric ideas to standard mathematics. This article is essentially meant to provide tools for further studies. 相似文献
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影响h指数、g指数、影响因子因素的相关性研究 总被引：2，自引：1，他引：1
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