Authors:
Rita Markovits-Somogyi Budapest University of Technology and Economics Department of Transport Economics Bertalan L. u. 2 H-1111 Budapest Hungary

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Zoltán Bokor Budapest University of Technology and Economics Department of Transport Economics Bertalan L. u. 2 H-1111 Budapest Hungary

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Data envelopment analysis is a non-parametric linear programming method created for the efficiency analysis of decision making units and it is widely applied in the transport sector. However, it is not yet extensively utilized for the evaluation of logistics centers. Preceding research by the authors has already established that data envelopment analysis is capable of the efficiency evaluation of these decision making units, but it has also shown a direction for future research: the sensitivity of the results to the changes in the input-output structure has to be examined. Using real-life data, this is done in the present paper.

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General Materials Science 351/453 (22nd PCTL)
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not indexed
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without
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not indexed
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Software (Q4)
Scopus  
Scopus
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1,5
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Civil and Structural Engineering 232/326 (Q3)
Computer Science Applications 536/747 (Q3)
General Materials Science 329/455 (Q3)
Modeling and Simulation 228/303 (Q4)
Software 326/398 (Q4)
Scopus
SNIP
0,613

2020  
Scimago
H-index
11
Scimago
Journal Rank
0,257
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Quartile Score
Civil and Structural Engineering Q3
Computer Science Applications Q3
Materials Science (miscellaneous) Q3
Modeling and Simulation Q3
Software Q3
Scopus
Cite Score
340/243=1,4
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General Materials Science 316/455 (Q3)
Modeling and Simulation 217/290 (Q4)
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1,09
Scopus
Cites
321
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67
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48%

 

2019  
Scimago
H-index
10
Scimago
Journal Rank
0,262
Scimago
Quartile Score
Civil and Structural Engineering Q3
Computer Science Applications Q3
Materials Science (miscellaneous) Q3
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Software Q3
Scopus
Cite Score
269/220=1,2
Scopus
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Civil and Structural Engineering 206/310 (Q3)
Computer Science Applications 445/636 (Q3)
General Materials Science 295/460 (Q3)
Modeling and Simulation 212/274 (Q4)
Software 304/373 (Q4)
Scopus
SNIP
0,933
Scopus
Cites
290
Scopus
Documents
68
Acceptance
Rate
67%

 

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Pollack Periodica
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