15 dic. 2017

MADAP: A method for depicting academic disciplines through Google Scholar Citations

Alberto Martín-Martín, Enrique Orduna-Malea, 
Emilio Delgado López-Cózar 
A novel method for depicting academic disciplines through Google Scholar Citations: 
The case of Bibliometrics
Scientometrics, in press. 


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 Citations. We call this method MADAP (Multifaceted Analysis of Disciplines through Academic Profiles). 
The international community of researchers working in Bibliometrics, Scientometrics, Informetrics, Webometrics, and Altmetrics was selected as a case study. The records of the top 1,000 most cited documents by these authors were manually checked to fill any missing information and deduplicate fields like the journal names and book publishers. The results suggest that it is feasible to use Google Scholar Citations and the MADAP method to produce an accurate depiction of the community of researchers working in Bibliometrics (both specialist and occasional) and their publication habits (main publication venues such as journals and book publishers). 
Additionaly, the wide document coverage of Google Scholar (especially books and book chapters) enables more comprehensive analyses of the documents published in a specific discipline than were previously possible with other citation indexes, finally shedding light on what until now had been a blind spot in most citation analyses


Top 25 influential specialist/occasional authors in Bibliometrics according to Google Scholar Citations

Top 25 most influential documents in Bibliometrics according to Google Scholar Citations

 Top 25 most influential journals in Bibliometrics according to Google Scholar Citations

Network of the Bibliometrics discipline through the MFDP method in Google Scholar (author-journal)