Measuring journal performance for multidisciplinary research: An efficiency perspective
We develop a measure of journal performance using data envelopment analysis (DEA). DEA-IF measures the efficiency of journals citation generation processes. DEA-IF mirrors field-different characteristics of citation densities and dynamics. DEA-IF can be used for comparative evaluation of multidisciplinary journals. A case study example of industrial engineering journals is provided.
journal performance multidisciplinary data envelopment analysis (dea) journal quality impact factor (if)