Xueshu pingjia de duo bianliang zhibiao tantao

Since Garfield introduced the journal impact factor (JIF) and set up citation analysis, some scientometric indicators have been applied to academic evaluations. Then Hirsch proposed the h-index, which was rapidly accepted by the scientific community. This promoted the development of quantitative academic indicators. However, both JIF and h-index have their advantages and disadvantages. The Integrated Impact Indicator (I3) and the h-index can be combined into the I3-type framework, yielding the publication vector X =(X₁,X₂,X₃) and the citation vector Y = (Y₁,Y₂,Y₃), the publication score I3X = X₁+X₂+X₃ and the citation score I3Y = Y₁+Y₂+Y₃, and alternative indicators, which could be developed to extend academic evaluation. The vector X and the score I3X represent the relative frequencies of the publications, while the vector Y and the score I3Y denote the relative frequencies of the citations. The h-based I3-type multivariate indicators provide multidimensional indicators: X₁ measures publication score in the h-core (X₁ and Y₁ combination may measure core impact power); X₂ measures publication score in h-tail; Y_h = Y₁+Y₃ measures citation score in h-core; Y₂ measures citation score in h-tail; I3X does total publication score,and I3Y does total citation score. The empirical studies reveal that the h-core distribution is suitable to evaluate scholars, and the X₁ and Y₁ are applied to measure core impact power of universities, and I3X and I3Y are alternatives of journal impact factor(JIF). The multivariate indicators provide a multidimensional view of academic evaluation with using the advantages of both the h-index and I3. The publication vector X =(X₁,X₂,X₃) and the citation vector Y = (Y₁,Y₂,Y₃) with their elements, as well as the publication score I3X = X₁+X₂+X₃ and the citation score I3Y = Y₁+Y₂+Y₃, contribute multivariate indicators for academic evaluation.