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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA)
Lourenço, I., Renato azevedo, Oliveira, J. & Branco, M. (2021). International patterns and networks in collaborative research published in accounting top journals . First  EAA Virtual Annual Congress .
Exportar Referência (IEEE)
I. M. Lourenço et al.,  "International patterns and networks in collaborative research published in accounting top journals ", in 1st  EAA Virtual Annu. Congr. , Virtual, 2021
Exportar BibTeX
@misc{lourenço2021_1734885396518,
	author = "Lourenço, I. and Renato azevedo and Oliveira, J. and Branco, M.",
	title = "International patterns and networks in collaborative research published in accounting top journals ",
	year = "2021",
	howpublished = "Digital",
	url = "https://eaa2021.virtual.eaacongress.org/r/home"
}
Exportar RIS
TY  - CPAPER
TI  - International patterns and networks in collaborative research published in accounting top journals 
T2  - First  EAA Virtual Annual Congress 
AU  - Lourenço, I.
AU  - Renato azevedo
AU  - Oliveira, J.
AU  - Branco, M.
PY  - 2021
CY  - Virtual
UR  - https://eaa2021.virtual.eaacongress.org/r/home
AB  - This study analyses the pattern of internationalization of the accounting top journals, based on the country of affiliation of the authors of each paper. The empirical study relies on 3,262 papers published in 18 accounting top journals between 2013 and 2017, which were classified in National (with authors from universities belonging to the same country) and International (with authors from universities belonging to different countries). For the international papers we perform a social network analysis in which the nodes are the countries and the links are the co-authorships. Overall, the findings show that the patterns of geographical distribution of the national and international papers published in the accounting top journals vary across different groups of journals. This study extends prior literature by applying social network analysis based on the country of affiliation of the authors, rather than on the most prolific authors and their research networks.
ER  -