Reflecting on Romanian Universities Ranking: An Entropy-Based Approach to Evaluate Scientific Research

被引：0

作者：

Badin, Luiza ^{[1
,2
]}

Serban, Florentin ^{[1
,3
]}

Serban-Oprescu, Anca-Teodora ^{[4
]}

Dedu, Silvia ^{[1
,5
]}

机构：

[1] Bucharest Univ Econ Studies, Dept Appl Math, Piata Romana 6,Sect 1, Bucharest 010374, Romania

[2] Gh Mihoc C Iacob Inst Math Stat & Appl Math, Calea 13 Septembrie 13,Sect 5, Bucharest 050711, Romania

[3] Univ Bucharest, Doctoral Sch Math, Str Acad 14,Sect 1, Bucharest 010014, Romania

[4] Bucharest Univ Econ Studies, Dept Modern Languages & Business Comunicat, Piata Romana 6,Sect 1, Bucharest 010374, Romania

[5] Romanian Acad, Sch Adv Studies, Calea Victoriei 125,Sect 1, Bucharest 010071, Romania

来源：

INFORMATICS IN ECONOMY | 2018年 / 273卷

关键词：

Entropy; Evaluation; Composite indicator; Scientific research activity; University rankings;

D O I：

10.1007/978-3-319-73459-0_13

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Quantitative evaluation of scientific research activity involves a set of complex methodological aspects, many of which have not received so far the deserved attention, neither in theoretical, nor in empirical studies. The concept of entropy is widely used in decision-making problems as a useful instrument for assessing the amount and effect of information provided by certain criteria used to construct a composite indicator. This paper proposes the use of entropy to evaluate scientific research performance of academic units. The field of observation consists of Romanian universities classified either as Advanced Research and Education or Education and Scientific Research units, by national ranking exercise in 2011. Our analysis considers only ISI publications - Articles and Proceedings Papers, during 2006-2010. We argue that the evaluation of scientific research can be better addressed and these preliminary results on university rankings could be further validated when alternative methods of assessment are applied.

引用

页码：175 / 183

页数：9

共 50 条

[31] An Entropy-Based Approach to Measuring Diet Adherence
Huffman, Curtis
Ortega-Avila, Ana G.
Najera, Hector
[J]. ENTROPY, 2023, 25 (09)
[32] Complexity of grammatical metaphor: an entropy-based approach
Zhou, Jiangping
[J]. SEMIOTICA, 2023, 2023 (252) : 173 - 185
[33] An entropy-based approach to wide area surveillance
Collins, Gaemus E.
Meloon, Mark M.
Sullivan, Kevin J.
Chinn, Janice
[J]. SIGNAL PROCESSING, SENSOR FUSION, AND TARGET RECOGNITION XV, 2006, 6235
[34] An entropy-based method to evaluate plane form error for precision assembly
Jin, Xin
Zuo, Fuchang
Zhang, Tingyu
Zhang, Zhijing
Chen, Jianfeng
Ye, Xin
[J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE, 2013, 227 (B5) : 726 - 734
[35] To Move or Not to Move: An Entropy-based Approach to the Informativeness of Research Article Abstracts across Disciplines
Xiao, Wei
Li, Li
Liu, Jin
[J]. JOURNAL OF QUANTITATIVE LINGUISTICS, 2023, 30 (01) : 1 - 26
[36] An entropy-based measure for the evolution of h index research
Deming Lin
Tianhui Gong
Wenbin Liu
Martin Meyer
[J]. Scientometrics, 2020, 125 : 2283 - 2298
[37] An entropy-based uncertainty measurement approach in neighborhood systems
Chen, Yumin
Wu, Keshou
Chen, Xuhui
Tang, Chaohui
Zhu, Qingxin
[J]. INFORMATION SCIENCES, 2014, 279 : 239 - 250
[38] An entropy-based approach for measuring complexity in supply chains
Isik, Filiz
[J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2010, 48 (12) : 3681 - 3696
[39] Drone Searches for Objects on the Ground: An Entropy-Based Approach
Kim N.V.
Mikhailov N.A.
[J]. Russian Engineering Research, 2020, 40 (02) : 164 - 167
[40] An Entropy-Based Approach to Measurement of Stock Market Depth
Olbrys, Joanna
Ostrowski, Krzysztof
[J]. ENTROPY, 2021, 23 (05)

← 1 2 3 4 5 →