EconPapers    
Economics at your fingertips  
 

Characterizing highly cited papers in Social Work through H-Classics

M. A. Martínez (), M. Herrera (), E. Contreras (), A. Ruíz () and E. Herrera-Viedma ()
Additional contact information
M. A. Martínez: International University of La Rioja (UNIR)
M. Herrera: University of Spain (UNED)
E. Contreras: University of Granada
A. Ruíz: University of Granada
E. Herrera-Viedma: University of Granada

Scientometrics, 2015, vol. 102, issue 2, No 33, 1713-1729

Abstract: Abstract Highly cited papers are an important reference point in a research field. H-Classics is a new identification method of highly cited papers that is based on the H-index and is sensitive to the own characteristics of any research discipline and also its evolution. Recently, Ho (Scientometrics 98(1):137–155, 2014) presented a study on highly cited papers in Social Work area using as selection criterion a citation threshold value equal to 50 citations received. In this paper, we present a new study on the highly cited papers in Social Work discipline which is developed using the concept of H-Classics. This new study provides more precise results and a different vision on Social Work area.

Keywords: H-index; Highly cited papers; Bibliometric measures; Social Work (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://link.springer.com/10.1007/s11192-014-1460-y 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:102:y:2015:i:2:d:10.1007_s11192-014-1460-y

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

DOI: 10.1007/s11192-014-1460-y

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 () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:scient:v:102:y:2015:i:2:d:10.1007_s11192-014-1460-y