New methods to quantify an individual's scientific research output based on h-index and various factors

Weifan Zhao; Wenjun Liu; Ruiyu Zhang

Weifan Zhao College of mathematics and statistics, Nanjing University of Information Science and Technology, Nanjing 210044, China
Wenjun Liu College of mathematics and statistics, Nanjing University of Information Science and Technology, Nanjing 210044, China
Ruiyu Zhang College of mathematics and statistics, Nanjing University of Information Science and Technology, Nanjing 210044, China

Abstract

Hirsch proposed h-index in 2005. To overcome some limitations of h-index in practical application, many scholars have proposed a series of derivative indexes. So far, derivative indexes designed by the scholars are mostly based on the citations and total number of papers. Although they are simple to use, they have certain oneness on the data source. To overcome this situation, two methods are used in this paper to analyze various factors. Firstly, we use the principal component analysis method to analyze original data such as the total number of papers, citation and so on, and then draw a comprehensive evaluation result of Z to quantify scientific research output, which avoid the oneness on the factor. Then, based on the "Gold priority" rule and h_a - index proposed by Xu, we introduce a new comprehensive scientific research evaluation index, named as h_f - index, to enhance the degree of differentiation and sensitivity of h-index. For two methods above, examples are given respectively.