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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) 
Pestana, M. H., Wang, W.-C. & Moutinho, L. A. (2018). Global affective computing research in the period 1997-2017: a bibliometric analysis. International Journal of Multivariate Data Analysis. 1 (4), 348-370
Exportar Referência (IEEE) 
M. H. Pestana et al.,  "Global affective computing research in the period 1997-2017: a bibliometric analysis", in Int. Journal of Multivariate Data Analysis, vol. 1, no. 4, pp. 348-370, 2018
Exportar BibTeX 
@article{pestana2018_1732203110507,
	author = "Pestana, M. H. and Wang, W.-C. and Moutinho, L. A.",
	title = "Global affective computing research in the period 1997-2017: a bibliometric analysis",
	journal = "International Journal of Multivariate Data Analysis",
	year = "2018",
	volume = "1",
	number = "4",
	doi = "10.1504/IJMDA.2018.096076",
	pages = "348-370",
	url = "https://www.inderscienceonline.com/doi/abs/10.1504/IJMDA.2018.096076"
}
Exportar RIS 
TY  - JOUR
TI  - Global affective computing research in the period 1997-2017: a bibliometric analysis
T2  - International Journal of Multivariate Data Analysis
VL  - 1
IS  - 4
AU  - Pestana, M. H.
AU  - Wang, W.-C.
AU  - Moutinho, L. A.
PY  - 2018
SP  - 348-370
SN  - 2396-8311
DO  - 10.1504/IJMDA.2018.096076
UR  - https://www.inderscienceonline.com/doi/abs/10.1504/IJMDA.2018.096076
AB  - Notable fallouts in marketing and financial market prediction have raised the interest by the scientific
community and the business world in Affective Computing (AfC). Automatically recognizing and responding to
a user’s affective states, AfC shows a great potential to improve companies capabilities of customer relationship
management. The aim of this study is to evaluate this field of research during the last twenty years, identifying
for one side its evolution, by the major publications, citations, journals, authors, productive countries,
productive institutions, and collaboration patterns; and for another side, identifying its trends through the
analysis of research hotspots, burst keywords and areas of research done so far. This bibliometric analysis is
based on the science citation index expanded (SCI-E), from the Institute of Scientific Information Web-of science,
which is now firmly established as an integral part of research evaluation methodology especially
within the scientific and applied fields. The results show a significant 4.19 rate of growth in AfC, doubling the
number of publications in 4.02 years time. This field of interest is paving the way for creativity and innovation and provides opportunities for its greater development. 
ER  -