Alberto Martín-Martín

TL;DR: Evidence is found that Google Scholar ranks those documents whose language (or geographical web domain) matches with the user’s interface language higher than could be expected based on citations, however, this language effect and other factors related to the Google Scholar operation only have an incidental impact.

TL;DR: It is found that it is feasible to depict an accurate representation of the current state of the Bibliometrics community using data from GSC (the most influential authors, documents, journals, and publishers), and a taxonomy of all the errors that may affect the reliability of the data contained in each of these platforms is presented.

TL;DR: 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.

TL;DR: The obsolescence process of Microsoft Academic Search (MAS) as well as the effects of this decline in the coverage of disciplines and journals, and their influence in the representativeness of organizations are described.

TL;DR: The objective of this work is to discuss the main advantages and disadvantages of these indicators paying special attention to the RG Score, the ResearchGate’s flagship indicator, finding that it does not measure the prestige of researchers, but instead their level of participation in the platform.