Data envelopment analysis 1978-2010: A citation-based literature survey
By John S. Liu, Louis Y. Y. Lu, Wen‐Min Lu, B. J. Lin. 2013
564 citations recorded by the source corpus.
Subfields: General Agricultural and Biological Sciences, Management Science and Operations Research, Media Technology
View Paper: https://www.semanticscholar.org/paper/78d0361a1e53e6cf4b286a73df28bfc22435f84c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In General Agricultural and Biological Sciences
- Dennis Hilgers
- Hannes W. Lampe
- Wade D. Cook
- Joe Zhu
- Ali Emrouznejad
- Young-Tae Chang
- Necmi Kemal Avkiran
- Ning Zhang
In Management Science and Operations Research
In Media Technology
Citations in the corpus
- Data envelopment analysis: Prior to choosing a model (2014, background): “[18], it is expected that the literature will grow to at least double its current size.”
- A bibliometric analysis of operations research and management science (2017, background): “Alt hough the H-index cannot strictly reflect the quality of a journal because a high number of p ublications may influence the H-index, it gives an approximation that is closer to the qualit y s perceived by the scientific community [6,26,41] than the results found with the impact fa tor.”
- The state of the art development of AHP (1979–2017): a literature review with a social network analysis (2017, background): “Several studies demonstrate the utility of SNA approaches, such as citation and co-citation networks, to identify clusters of knowledge within a discipline (Lampe and Hilgers 2014; Liu et al. 2013).”
- Trajectories of efficiency measurement: A bibliometric analysis of DEA and SFA (2015, methodology): “First, bibliometric analyses demonstrate a wide adoption and diffusion of those techniques (Sarafoglou, 1998; Liu et al., 2013a, 2013b).”
- A survey of DEA applications (2013, methodology): “The method has been applied to several science and technology disciplines to uncover their development trajectories, or from a different perspective, knowledge flow paths [6,12,13].”