Mapping of science journals based on h-similarity
András Schubert () and
Sándor Soós
Additional contact information
András Schubert: Institute for Research Policy Studies, Hungarian Academy of Sciences
Sándor Soós: Institute for Research Policy Studies, Hungarian Academy of Sciences
Scientometrics, 2010, vol. 83, issue 2, No 19, 589-600
Abstract:
Abstract Journals covered by the 2006 Science Citation Index Journal Citation Reports database have been subjected to a clustering procedure utilizing h-similarity as the underlying similarity measure. Clustering complemented with a prototyping routine provided well-conceivable results that are both compatible with and further refine existing taxonomies of science.
Keywords: h-index; h-similarity; Journals; Mapping (search for similar items in EconPapers)
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://link.springer.com/10.1007/s11192-010-0167-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:83:y:2010:i:2:d:10.1007_s11192-010-0167-y
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192
DOI: 10.1007/s11192-010-0167-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 ().