Title
Scholarly impact assessment: a survey of citation weighting solutions
Abstract
Scholarly impact assessment has always been a hot issue. It has played an important role in evaluating researchers, scientific papers, scientific teams, and institutions within science of science. Scholarly impact assessment is also used to address fundamental issues, such as reward evaluation, funding allocation, promotion and recruitment decision. Scholars generally agree that it is more reasonable to use weighted citations to assess the scholarly impact. Although a great number of researchers use weighted citations to access the scholarly impact, there is a lack of a systematic summary of citation weighting methods. To fill the gap, this paper summarizes the existing classical indicators and weighting methods used in measuring scholarly impact from the perspectives of articles, authors and journals. We also summarize the focus of the indicators involved in this paper and the weighting factors that involved in the weighting methods. Finally, we discuss the open issues to try to discover the hidden trends of citation weighting. Through this paper, we can not only have a clearer understanding of the weighting methods in the scholarly impact assessment, but also think more deeply about the weighting factors to be explored.
Year
DOI
Venue
2019
10.1007/s11192-018-2973-6
Scientometrics
Keywords
Field
DocType
Weighted citations,Scholarly impact assessment,Weighting factors
Data science,Data mining,Impact assessment,Weighting,Computer science,Citation,Funding allocation
Journal
Volume
Issue
ISSN
118
2
1588-2861
Citations 
PageRank 
References 
3
0.37
74
Authors
7
Name
Order
Citations
PageRank
Liwei Cai130.37
Jiahao Tian250.72
Jiaying Liu386083.96
Xiaomei Bai4626.71
Ivan Lee511516.92
Xiangjie Kong642546.56
Feng Xia72013153.69