Exportar Publicação

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. & Crespo, N. (2022). On the measurement of scientific leadership. Journal of Information Science. 48 (1), 131-138
Exportar Referência (IEEE)
N. N. Crespo and N. M. Crespo,  "On the measurement of scientific leadership", in Journal of Information Science, vol. 48, no. 1, pp. 131-138, 2022
Exportar BibTeX
@article{crespo2022_1734952849007,
	author = "Simões, N. and Crespo, N.",
	title = "On the measurement of scientific leadership",
	journal = "Journal of Information Science",
	year = "2022",
	volume = "48",
	number = "1",
	doi = "10.1177/0165551520950240",
	pages = "131-138",
	url = "https://journals.sagepub.com/doi/10.1177/0165551520950240"
}
Exportar RIS
TY  - JOUR
TI  - On the measurement of scientific leadership
T2  - Journal of Information Science
VL  - 48
IS  - 1
AU  - Simões, N.
AU  - Crespo, N.
PY  - 2022
SP  - 131-138
SN  - 0165-5515
DO  - 10.1177/0165551520950240
UR  - https://journals.sagepub.com/doi/10.1177/0165551520950240
AB  - The h_? index was recently proposed to measure the degree of scientific leadership. While the concept is useful and interesting, namely as a complement to the traditional performance analysis, the metric suffers from important shortcomings. We argue that scientific leadership should be evaluated: (i) taking into account information of the moment the paper is produced/published; (ii) in the specific context of the paper, meaning that only previous work relevant for the paper should be taken into account. Based on these two principles, we introduce an alternative approach, using self-citations as a source of information, which eliminates the shortcomings inherent to the h_? index. The new measures proposed in this study can be used to complement the traditional performance assessment, namely through the application of the h-index.  
ER  -