Mapping nanosciences by citation flows: A preliminary analysis
Elise Bassecoulard (),
Alain Lelu and
Michel Zitt
Additional contact information
Elise Bassecoulard: INRA
Alain Lelu: INRA
Michel Zitt: INRA
Scientometrics, 2007, vol. 70, issue 3, No 15, 859-880
Abstract:
Abstract This article presents a citation-based mapping exercise in the nanosciences field and a first sketch of citation transactions (a measure of cognitive dependences). Nanosciences are considered to be one of the “convergent” components shaping the future of science and technology. Recurrent questions about the structure of the field concern its diversity and multi- or inter-disciplinarity. Observations made from various points of view confirm a strong differentiation of the field, which is scattered in multiple galaxies with moderate level of exchanges. The multi-disciplinarity of themes and super-themes detected by mapping also appears moderate, most of the super-themes being based on physics and chemistry in various proportions. Structural analysis of the list of references in articles suggests that the moderate multi-disciplinarity observed at the aggregate level partly stems from an actual inter-disciplinarity at the article level.
Date: 2007
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (18)
Downloads: (external link)
http://link.springer.com/10.1007/s11192-007-0315-1 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:70:y:2007:i:3:d:10.1007_s11192-007-0315-1
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192
DOI: 10.1007/s11192-007-0315-1
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 ().