@inproceedings{f7c5a23a99fc43be8fde300d72e2f74a,
title = "Measuring the research performance of UK computer science departments via Network DEA",
abstract = "In this study we evaluate the research performance of the Computer Science departments in United Kingdom. We consider the research activity as a series process with two components, where the first component portrays the research productivity and the second component portrays the impact of the research outcomes of each department. The analysis is based on the data drawn from the Research Excellence Framework 2014 (REF 2014), which is the system for assessing the quality of research in the higher education institutions of United Kingdom. We carry out the assessment by employing the composition approach of Network Data Envelopment Analysis (Network DEA). Also, we encompass a qualitative aspect into the exercise based on the categorization of the publications provided by REF 2014.",
keywords = "Composition, Data envelopment analysis, Multi-objective programming, Nenvork DEA, Research performance",
author = "Gregory Koronakos and Lucie Chytilova and Dimitris Sotiros",
year = "2019",
month = jul,
doi = "10.1109/IISA.2019.8900759",
language = "English",
series = "10th International Conference on Information, Intelligence, Systems and Applications, IISA 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "10th International Conference on Information, Intelligence, Systems and Applications, IISA 2019",
address = "United States",
note = "10th International Conference on Information, Intelligence, Systems and Applications, IISA 2019 ; Conference date: 15-07-2019 Through 17-07-2019",
}