In the field of scientific assessment of scholars, there were several metrics has been given by the scholars. From the list of indices, the h-index is widely accepted for the scientific evaluation of scholars. However, the h-index has several limitations, especially in the case of consideration of excess citation count. In this context, the e-index and EM-index have been proposed. The e-index only considers the excess citation count, while the EM-index considers both core and excess citation count. “The EM-index is the square root of the sum of the EM-index component”. In this index, every component has equal importance. But how can we consider every component equally? The first element and the 100th elements can not be identical. This article discussed the iterative weighted EM-index to address this issue. To consider the impact of all cited atricles, the multidimensional h-index and the \(EM^{\prime}\)-index were proposed. The multidimensional h-index has not considered the excess citation count and also not come up with any global index value. The \(EM^{\prime}\)-index overcomes this issue, but this index follows the same pattern as the EM-index suffers. Further to accomplish the above-discussed issue, the iterative weighted \(EM^{\prime}\)-index also discussed in this article. An empirical study has been performed on 82 scholars’ publications and citation data. From the empirical research, we concluded that this could be an effective solution in the scientific assessment of scholars.

在学者的科学评估领域，学者们给出了几种指标。从索引列表来看，h指数已被广泛用于学者的科学评估。但是，h指数有几个局限性，特别是在考虑过多引用次数的情况下。在这种情况下，已经提出了电子索引和EM索引。电子指数仅考虑过多的引文计数，而新兴市场指数同时考虑核心引文和过量引文计数。“ EM-index是EM-index成分之和的平方根”。在该索引中，每个组件都具有同等的重要性。但是，我们如何才能平等地考虑每个组成部分？第一个元素和第100个元素不能相同。本文讨论了迭代加权EM索引来解决此问题。为了考虑所有引用的小孔的影响，提出了多维h-index和\（EM ^ {\ prime} \）- index。多维h索引未考虑过多的引文计数，也未提供任何全局索引值。该\（^ EM {\黄金} \） -index克服了这一问题，但该指数遵循相同的模式EM-指数受到影响。为了进一步解决上述问题，迭代加权\（EM ^ {\ prime} \）-index在本文中也进行了讨论。对82位学者的出版物和引文数据进行了实证研究。通过实证研究，我们得出结论，这可能是对学者进行科学评估的有效解决方案。