EconPapers    
Economics at your fingertips  
 

Predicting results of the research excellence framework using departmental h-index: revisited

O. Mryglod (), R. Kenna, Yu. Holovatch and B. Berche
Additional contact information
O. Mryglod: Institute for Condensed Matter Physics of the National Academy of Sciences of Ukraine
R. Kenna: Coventry University
Yu. Holovatch: Institute for Condensed Matter Physics of the National Academy of Sciences of Ukraine
B. Berche: Université de Lorraine

Scientometrics, 2015, vol. 104, issue 3, No 18, 1013-1017

Abstract: Abstract We revisit our recent study [Predicting results of the Research Excellence Framework using departmental h-index, Scientometrics, 2014, 102:2165–2180; arXiv:1411.1996 ] in which we attempted to predict outcomes of the UK’s Research Excellence Framework (REF 2014) using the so-called departmental h-index. Here we report that our predictions failed to anticipate with any accuracy either overall REF outcomes or movements of individual institutions in the rankings relative to their positions in the previous Research Assessment Exercise (RAE 2008).

Keywords: Peer review; Hirsch index; Research Assessment Exercise (RAE); Research Excellence Framework (REF) (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)

Downloads: (external link)
http://link.springer.com/10.1007/s11192-015-1567-9 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:104:y:2015:i:3:d:10.1007_s11192-015-1567-9

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

DOI: 10.1007/s11192-015-1567-9

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:104:y:2015:i:3:d:10.1007_s11192-015-1567-9