EconPapers    
Economics at your fingertips  
 

The representative works of scientists

Jianlin Zhou, An Zeng (), Ying Fan () and Zengru Di
Additional contact information
Jianlin Zhou: Beijing Normal University
An Zeng: Beijing Normal University
Ying Fan: Beijing Normal University
Zengru Di: Beijing Normal University

Scientometrics, 2018, vol. 117, issue 3, 1721-1732

Abstract: Abstract Nowadays identifying the personal representative works is becoming increasingly important and necessary for scientists in many cases, such as faculty hiring and promotion applications. There are already a few methods based on different criteria for selecting the representative works of a scientist, like citation count. In addition, we can observe that some researchers always produce many similar quality scientific papers and some researchers have several highly cited papers compared with his or her other papers. In this context, we propose to use the maximum gap in a histogram of a scientist’s sorted papers’ citation counts to classify his or her papers into two groups, i.e. representative papers and regular papers. Based on the maximum gap, we then design an indicator $$D_{r}$$ D r to quantify the impact difference between scientist’s representative works and regular works. We apply this selection method and $$D_{r}$$ D r index into the data of American Physical Society (APS) journals. The results indicate that the selection method can better identify the representative works of Nobel laureates in Physics compared with using the most cited paper. We also find that the number of representative works selected by our method is related to $$D_{r}$$ D r . A larger number of selected papers would appear when the value of $$D_{r}$$ D r index is relatively smaller. Meanwhile, we also observe that $$D_{r}$$ D r is weakly correlated with the h index and total citation.

Keywords: Representative work; Citation count; Maximum gap (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)
http://link.springer.com/10.1007/s11192-018-2918-0 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: https://EconPapers.repec.org/RePEc:spr:scient:v:117:y:2018:i:3:d:10.1007_s11192-018-2918-0

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192

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 2019-11-06
Handle: RePEc:spr:scient:v:117:y:2018:i:3:d:10.1007_s11192-018-2918-0