Empirical Patterns in Google Scholar Citation Counts

Peter Breuer

doi:10.1109/SOSE.2014.55

Empirical Patterns in Google Scholar Citation Counts

Peter Breuer

Research output: Contribution to conference › Item › peer-review

3 Citations (Scopus)

Abstract

Scholarly impact may be metricized using an author's total number of citations as a stand-in for real worth, but this measure varies in applicability between disciplines. The detail of the number of citations per publication is nowadays mapped in much more detail on the Web, exposing certain empirical patterns. This paper explores those patterns, using the citation data from Google Scholar for a number of authors.

Original language	English
DOIs	https://doi.org/10.1109/SOSE.2014.55
Publication status	Published - 12 Jun 2014
Externally published	Yes
Event	2014 IEEE 8th International Symposium on Service Oriented System Engineering - Duration: 6 Dec 2014 → …

Conference

Conference	2014 IEEE 8th International Symposium on Service Oriented System Engineering
Period	6/12/14 → …

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10.1109/SOSE.2014.55Licence: CC BY-NC-ND 4.0

Cite this

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abstract = "Scholarly impact may be metricized using an author's total number of citations as a stand-in for real worth, but this measure varies in applicability between disciplines. The detail of the number of citations per publication is nowadays mapped in much more detail on the Web, exposing certain empirical patterns. This paper explores those patterns, using the citation data from Google Scholar for a number of authors.",

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AB - Scholarly impact may be metricized using an author's total number of citations as a stand-in for real worth, but this measure varies in applicability between disciplines. The detail of the number of citations per publication is nowadays mapped in much more detail on the Web, exposing certain empirical patterns. This paper explores those patterns, using the citation data from Google Scholar for a number of authors.

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M3 - Item

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Empirical Patterns in Google Scholar Citation Counts

Abstract

Conference

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