In November 2012 the Google Scholar Metrics (GSM) journal rankings were updated, making it possible to compare bibliometric indicators in the 10 languages indexed – and their stability – with the April 2012 version. The h-index and h-5 median of 1,000 journals were analysed, comparing their averages, maximum and minimum values and the correlation coefficient within rankings. The bibliometric fi...

This paper aims to make a comparative analysis between the personal profiling capabilities of the two most important free citation-based academic search engines, namely Microsoft Academic Search (MAS) and Google Scholar Citations (GSC). Author profiles can be very useful for evaluation purposes once the advantages and the shortcomings of these services are described and taken into consideration...

We analyse the main features of the third edition of Google Scholar Metrics (GSM), released in June 2014, focusing on its more important changes, strengths, and weaknesses. Additionally, we present some figures that outline the dimensions of this new edition, and we compare them to those of previous editions. Principal among these figures are the number of visualized publications, publication t...

This article provides guidelines on how to optimize scholarly literature for academic search engines like Google Scholar, in order to increase the article visibility and citations.

In this paper we describe a system for visualizing and analyzing worldwide research topics, rtopmap. We gather data from google scholar academic research profiles, putting together a weighted topics graph, consisting of over 35,000 nodes and 646,000 edges. The nodes correspond to self-reported research topics, and edges correspond to cooccurring topics in google scholar profiles. The rtopmap sy...

We measure the impact of “altmetrics” field by deploying altmetrics indicators using the data from Google Scholar, Twitter, Mendeley, Facebook, Googleplus, CiteULike, Blogs and Wiki during 20102014. To capture the social impact of scientific publications, we propose an index called alt-index, analogues to h-index. Across the deployed indices, our results have shown high correlation among the in...

The study of highly cited documents on Google Scholar (GS) has never been addressed to date in a comprehensive manner. The objective of this work is to identify the set of highly cited documents in Google Scholar and define their core characteristics: their languages, their file format, or how many of them can be accessed free of charge. We will also try to answer some additional questions that...