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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.
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Information Studies
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URN: urn:nbn:se:kth:diva-171397OAI: oai:DiVA.org:kth-171397DiVA: diva2:843569
Note

QC 20150817

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

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Ahlgren, Per

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