Discovery of factors influencing citation impact based on a soft fuzzy rough set model

Mingyang Wang (), Guang Yu, Shuang An and Daren Yu
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Mingyang Wang: Northeast Forestry University
Guang Yu: Harbin Institute of Technology
Shuang An: Harbin Institute of Technology
Daren Yu: Harbin Institute of Technology

Scientometrics, 2012, vol. 93, issue 3, No 4, 635-644

Abstract: Abstract In this paper, the machine learning tools were used to identify key features influencing citation impact. Both the papers’ external and quality information were considered in constructing papers’ feature space. Based on the feature space, the soft fuzzy rough set was used to generate a series of associated feature subsets. Then, the KNN classifier was used to find the feature subset with the best classification performance. The results show that citation impact could be predicted by objectively assessed factors. Both the papers’ quality and external features, mainly represented as the reputation of the first author, are contributed to future citation impact.

Keywords: Citation impact; Highly cited papers; Soft fuzzy rough set (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (11)

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DOI: 10.1007/s11192-012-0766-x

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