文章基本信息

标题：A Case Study on A Miner Dataset: Identifying leading research through various Models
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作者：G.Ayyappan ; C.Nalini ; A.Kumaravel 等
期刊名称：Indian Journal of Computer Science and Engineering
印刷版ISSN：2231-3850
电子版ISSN：0976-5166
出版年度：2019
卷号：10
期号：2
页码：45-53
DOI：10.21817/indjcse/2019/v10i2/191002017
出版社：Engg Journals Publications
摘要：The increasing tendency across scientific disciplines to write multi authored papers [1,2] makesthe issue of the sequence of contributors’ names a major topic both in terms of reflecting actualcontributions and in a posteriori assessments by evaluation committees. The reviewers aware that thereare different cultures to authorship order. The usual and informal practice of giving the whole credit(impact factor) to each author of a multi authored paper is not adequate and over emphasizes the minorcontributions of many authors. Similarly, evaluation of authors according to citation frequencies meansoften overrating resulting from high-impact but multi authored publications. Teja Tscharntke et al. [72]proposed that four methods. Like as SDC,EC, FLAE, and PCI. Comparison of the credit forcontributions to this study under the four different models has been suggested. The proposed systems,such as Individual Frequency (IF) and Weighted Frequency (WF), have no repeated impact for eachposition.
关键词：SDC;EC;FLAE;PCI;IF and WF