Title | ||
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Efficiency analysis of forestry journals: Suggestions for improving journals' quality. |
Abstract | ||
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In this paper we attempt to assess the impact of journals in the field of forestry, in terms of bibliometric data, by providing an evaluation of forestry journals based on data envelopment analysis (DEA). In addition, based on the results of the conducted analysis, we provide suggestions for improving the impact of the journals in terms of widely accepted measures of journal citation impact, such as the journal impact factor (IF) and the journal h-index. More specifically, by modifying certain inputs associated with the productivity of forestry journals, we have illustrated how this method could be utilized to raise their efficiency, which in terms of research impact can then be translated into an increase of their bibliometric indices, such as the h-index, IF or eigenfactor score. (c) 2013 Elsevier Ltd. All rights reserved. |
Year | DOI | Venue |
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2013 | 10.1016/j.joi.2013.02.002 | Journal of Informetrics |
Keywords | Field | DocType |
Journal h-index,Journal impact factor (IF),DEA,Forestry journals | Data mining,Citation impact,Computer science,Eigenfactor,Forestry,Data envelopment analysis,Impact factor | Journal |
Volume | Issue | ISSN |
7 | 2 | 1751-1577 |
Citations | PageRank | References |
2 | 0.38 | 32 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Konstantinos Petridis | 1 | 20 | 5.99 |
Chrisovalantis Malesios | 2 | 9 | 1.88 |
Garyfallos Arabatzis | 3 | 7 | 4.43 |
Emmanuel Thanassoulis | 4 | 289 | 54.65 |