EconPapers    
Economics at your fingertips  
 

An evaluation of research performance for different subject categories using Impact Factor Point Average (IFPA) index: Thailand case study

N. Sombatsompop, T. Markpin, W. Yochai and M. Saechiew
Additional contact information
N. Sombatsompop: Polymer Processing and Flow (P-PROF) Group, School of Energy & Materials, King Mongkut's University of Technology Thonburi (KMUTT)
T. Markpin: Polymer Processing and Flow (P-PROF) Group, School of Energy & Materials, King Mongkut's University of Technology Thonburi (KMUTT)
W. Yochai: Thai Journal Citation Index Centre (TCI), KMUTT Central Library, King Mongkut's University of Technology Thonburi (KMUTT)
M. Saechiew: Thai Journal Citation Index Centre (TCI), KMUTT Central Library, King Mongkut's University of Technology Thonburi (KMUTT)

Scientometrics, 2005, vol. 65, issue 3, No 5, 293-305

Abstract: Summary The research performance of Thai researchers in various subject categories was evaluated using a new mathematical index entitled “Impact Factor Point Average” (IFPA), by considering the number of published papers in journals listed in the Science Citation Index (SCI) database held by the Institute for Scientific Information (ISI) for the years 1998-2002, and the results compared with the direct publication number (PN) and publication credit (PC) methods. The results suggested that the PN and PC indicators cannot be used for comparison between fields or countries because of the strong field-dependence. The IFPA index, based on a normalization of differences in impact factors, rankings, and number of journal titles in different subject categories, was found to be simple and could be used with equality for accurate assessment of the quality of research work in different subject categories. The results of research performance were found to be dependent on the method used for the evaluations. All evaluation methods indicated that Clinical Medicine was ranked first in terms of the research performance of Thai scholars listed in the SCI database, but exhibited the lowest improvement of performance. Chemistry was shown to be the most improved subject category.

Date: 2005
References: Add references at CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
http://link.springer.com/10.1007/s11192-005-0275-2 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:65:y:2005:i:3:d:10.1007_s11192-005-0275-2

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

DOI: 10.1007/s11192-005-0275-2

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:65:y:2005:i:3:d:10.1007_s11192-005-0275-2