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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)
Simões, N. (2020). Measuring scientific performance without ties: is scientific leadership the solution?. Annals of Library and Information Studies . 67 (2), 103-106
Exportar Referência (IEEE)
N. N. Crespo,  "Measuring scientific performance without ties: is scientific leadership the solution?", in Ann. of Library and Information Studies , vol. 67, no. 2, pp. 103-106, 2020
Exportar BibTeX
@article{crespo2020_1732198182264,
	author = "Simões, N.",
	title = "Measuring scientific performance without ties: is scientific leadership the solution?",
	journal = "Annals of Library and Information Studies ",
	year = "2020",
	volume = "67",
	number = "2",
	pages = "103-106",
	url = "http://nopr.niscair.res.in/handle/123456789/66"
}
Exportar RIS
TY  - JOUR
TI  - Measuring scientific performance without ties: is scientific leadership the solution?
T2  - Annals of Library and Information Studies 
VL  - 67
IS  - 2
AU  - Simões, N.
PY  - 2020
SP  - 103-106
SN  - 0972-5423
UR  - http://nopr.niscair.res.in/handle/123456789/66
AB  - For many decisions in science, evaluators have to select, assess, and rank authors based on their scientific achievements. However, the most diffused scientific performance bibliometric metric – the h index – produces many ties, precluding its use to define a full ranking of the authors. In turn, recently, Jorge Hirsch1 proposes the ℎɑ index (which measures the number of papers of the h core in which the author was the scientific leader)and the associated rɑ index(percentage of papers belonging to the h core in which the author was leader)to capture the concept of scientific leadership. We suggest using this last measure to break the ties of the h index. The method is extremely simple and provides a complete solution to this critical problem of the h index. To that end, we develop a two steps procedure, which is able to produce a more granulated ranking of the authors.
ER  -