Title
Using multi-level frontiers in DEA models to grade countries/territories.
Abstract
•We use multi-level frontiers of data envelopment analysis (DEA) models to grade selected countries/territories.•We use research funding and researchers as input indicators, and take papers, citations and patents as output indicators.•The research results show that using DEA frontiers we can grade countries/territories on different grades.•These grades reflect the corresponding countries’ levels of performance with respect to multiple inputs and outputs.
Year
DOI
Venue
2016
10.1016/j.joi.2016.01.008
Journal of Informetrics
Keywords
Field
DocType
Countries/territories,Grades,Data envelopment analysis (DEA),Efficient frontier
Data mining,Grading (education),Computer science,Efficient frontier,Performance measurement,Value judgment,Data envelopment analysis
Journal
Volume
Issue
ISSN
10
1
1751-1577
Citations 
PageRank 
References 
3
0.93
15
Authors
5
Name
Order
Citations
PageRank
Guo-liang Yang1398.75
Per Ahlgren and Ting Yue234827.37
Liying Yang356.72
Ronald Rousseau41071103.40
Jie Lan Ding5282.43