activity
20152018
most citedMethods for estimating the size of Google Scholar

149 citations · 226 across the 3 of their papers we have counts for

collaborators

16 papers

cs.DL2018

Google Scholar, Web of Science, and Scopus: a systematic comparison of citations in 252 subject categories

Alberto Martín-Martín, Enrique Orduna-Malea, Mike Thelwall +1

Despite citation counts from Google Scholar (GS), Web of Science (WoS), and Scopus being widely consulted by researchers and sometimes used in research evaluations, there is no rec…

cs.DL2018

Google Scholar as a data source for research assessment

Emilio Delgado López-Cózar, Enrique Orduna-Malea, Alberto Martín-Martín

The launch of Google Scholar (GS) marked the beginning of a revolution in the scientific information market. This search engine, unlike traditional databases, automatically indexes…

cs.DL2018

Google Scholar: the 'big data' bibliographic tool

Emilio Delgado Lopez-Cozar, Enrique Orduna-Malea, Alberto Martin-Martin +1

The launch of Google Scholar back in 2004 meant a revolution not only in the scientific information search market but also in research evaluation processes. Its dynamism, unparalle…

cs.DL2018

Unbundling Open Access dimensions: a conceptual discussion to reduce terminology inconsistencies

Alberto Martín-Martín, Rodrigo Costas, Thed N. van Leeuwen +1

The current ways in which documents are made freely accessible in the Web no longer adhere to the models established Budapest/Bethesda/Berlin (BBB) definitions of Open Access (OA).…

cs.DL2018

A novel method for depicting academic disciplines through Google Scholar Citations: The case of Bibliometrics

Alberto Martín-Martín, Enrique Orduna-Malea, Emilio Delgado López-Cózar

This article describes a procedure to generate a snapshot of the structure of a specific scientific community and their outputs based on the information available in Google Scholar…

cs.DL2018

Can we use Google Scholar to identify highly-cited documents?

Alberto Martín-Martín, Enrique Orduna-Malea, Anne-Wil Harzing +1

The main objective of this paper is to empirically test whether the identification of highly-cited documents through Google Scholar is feasible and reliable. To this end, we carrie…