Economics at your fingertips  

Sleeping beauties with no prince based on the co-citation criterion

ZhangJian Zong (), XuanZhen Liu () and Hui Fang ()
Additional contact information
ZhangJian Zong: Nanjing Medical University
XuanZhen Liu: Nanjing Medical University
Hui Fang: Nanjing University

Scientometrics, 2018, vol. 117, issue 3, 1841-1852

Abstract: Abstract In science, a sleeping beauty (SB) refers to a highly cited paper that initially remains unnoticed for several years after publication. It is generally recognized that each SB is awoken by princes, in the form of other papers that cite the SB. Investigations have shown that one feature of a prince is that it has a considerable number of co-citations with the SB. In the present study, we applied a method to screen for princes from among papers citing the SB based on the number of co-citations in the Web of Science and identified four SBs that were awoken without a prince based on the co-citation criterion. There are two possible explanations for this phenomenon. The first is that some SBs may not need a prince to attract the attention of other academics. The authors of three of the four abovementioned SBs were Nobel laureates, and their work was well known in their respective fields. The papers had slept for a long period because their work was ahead of its time. The long period of sleep is a reflection of the authors’ high academic level and degree of insight. The other potential explanation is that princes do not have to be co-cited with SBs. Our findings demonstrate a significant deficiency in the previous criteria relating to princes based on co-citations. Thus, new criteria are required to identify princes.

Keywords: Sleeping beauties; Princes; Co-citation; Ahead of time; Nobel laureate (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link) Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Ordering information: This journal article can be ordered from

Access Statistics for this article

Scientometrics is currently edited by Wolfgang Glänzel

More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla ().

Page updated 2019-04-09
Handle: RePEc:spr:scient:v:117:y:2018:i:3:d:10.1007_s11192-018-2932-2