Change search
ReferencesLink to record
Permanent link

Direct link
An approach for efficient online identification of the top-k percent most cited documents in large sets of Web of Science documents
KTH, School of Education and Communication in Engineering Science (ECE), Department for Library services, Language and ARC, Publication Infrastructure.ORCID iD: 0000-0003-0229-3073
2014 (English)In: ISSI Newsletter, ISSN 1998-5460, Vol. 10, no 4, 81-89 p.Article in journal (Other academic) Published
Place, publisher, year, edition, pages
2014. Vol. 10, no 4, 81-89 p.
National Category
Information Studies
URN: urn:nbn:se:kth:diva-171397OAI: diva2:843569

QC 20150817

Available from: 2015-07-29 Created: 2015-07-29 Last updated: 2015-08-17Bibliographically approved

Open Access in DiVA

No full text

Search in DiVA

By author/editor
Ahlgren, Per
By organisation
Publication Infrastructure
Information Studies

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 57 hits
ReferencesLink to record
Permanent link

Direct link