Measuring journal performance for multidisciplinary research: An efficiency perspective
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DOI: 10.1016/j.joi.2013.10.004
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- Xu, Nuo & Kasimov, Ikboljon & Wang, Yanan, 2022. "Unlocking private investment as a new determinant of green finance for renewable development in China," Renewable Energy, Elsevier, vol. 198(C), pages 1121-1130.
- Yang, Guoliang & Ahlgren, Per & Yang, Liying & Rousseau, Ronald & Ding, Jielan, 2016. "Using multi-level frontiers in DEA models to grade countries/territories," Journal of Informetrics, Elsevier, vol. 10(1), pages 238-253.
- Hung, Chia-Liang, 2017. "Social networks, technology ties, and gatekeeper functionality: Implications for the performance management of R&D projects," Research Policy, Elsevier, vol. 46(1), pages 305-315.
- Liu, Hui-hui & Yang, Guo-liang & Liu, Xiao-xiao & Song, Yao-yao, 2020. "R&D performance assessment of industrial enterprises in China: A two-stage DEA approach," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
- Lee, Seonghee & Lee, Hakyeon, 2015. "Measuring and comparing the R&D performance of government research institutes: A bottom-up data envelopment analysis approach," Journal of Informetrics, Elsevier, vol. 9(4), pages 942-953.
- Ennas, Gianfranco & Di Guardo, Maria Chiara, 2015. "Features of top-rated gold open access journals: An analysis of the scopus database," Journal of Informetrics, Elsevier, vol. 9(1), pages 79-89.
- Chen, Kun & Ren, Xian-tong & Yang, Guo-liang, 2021. "A novel approach for assessing academic journals: Application of integer DEA model for management science and operations research field," Journal of Informetrics, Elsevier, vol. 15(3).
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Keywords
Journal performance; Journal quality; Data envelopment analysis (DEA); Impact factor (IF); Multidisciplinary;All these keywords.
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