Mining Google scholar citations: An exploratory study

10Citations
Citations of this article
32Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The official launch of Google Scholar Citations in 2011 opens a new horizon for analyzing the citations of individual researchers with unprecedented convenience and accuracy. This paper presents one of the first exploratory studies based on the data provided by Google Scholar Citations. More specifically, we conduct a series of investigations on: i) the overall citation patterns across different disciplines; ii) the correlation among various index metrics; iii) the personal citation patterns of researchers; iv) the transformation of research topics over time. Our results suggest that Google Scholar Citations is a powerful data source for citation analysis and provides a solid basis for performing more sophisticated data mining research in the future. © 2012 Springer-Verlag.

Cite

CITATION STYLE

APA

Ze, H., & Bo, Y. (2012). Mining Google scholar citations: An exploratory study. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7389 LNCS, pp. 182–189). https://doi.org/10.1007/978-3-642-31588-6_24

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free