Title
Scholarly journal evaluation based on panel data analysis
Abstract
This paper proposes a new method for indicator selection in panel data analysis and tests the method with relevant data on agricultural journals provided by the Institute of Scientific & Technical Information of China. An evaluation exercise by the TOPSIS method is conducted as a comparison. The result shows that panel data analysis is an effective method for indicator selection in scholarly journal evaluation; journals of different disciplines should not be evaluated with the same criteria; it is beneficial to publish all the evaluation indicators; unavailability of a few indicators has a limited influence on evaluation results; simplifying indicators can reduce costs and increase efficiency as well as accuracy of journal evaluation.
Year
DOI
Venue
2009
10.1016/j.joi.2009.04.003
Journal of Informetrics
Keywords
Field
DocType
Scholarly journal,MAE (Multiple Attribute Evaluation),Indicator selection,TOPSIS,Panel data analysis,Heuristic methods
Panel data,Publication,Data mining,Effective method,Computer science,Technical information,Unavailability,TOPSIS
Journal
Volume
Issue
ISSN
3
4
1751-1577
Citations 
PageRank 
References 
1
0.36
10
Authors
4
Name
Order
Citations
PageRank
Liping Yu150.78
Xiaoming Shen210.36
YunTao Pan3867.04
Yishan Wu410510.78