Reading Between the Lines: A Computational Bibliometric Analysis on Emotion Regulation

Javier Fernández-Álvarez; Pietro Cipresso; Desirèe Colombo; Cristina Botella; Giuseppe Riva

Pervasive Computing Paradigms for Mental Health. 7th International Conference, MindCare 2018, Boston, MA, USA, January 9–10, 2018, Proceedings

Research Article

Reading Between the Lines: A Computational Bibliometric Analysis on Emotion Regulation

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@INPROCEEDINGS{10.1007/978-3-030-01093-5_16,
    author={Javier Fern\^{a}ndez-\^{A}lvarez and Pietro Cipresso and Desir\'{e}e Colombo and Cristina Botella and Giuseppe Riva},
    title={Reading Between the Lines: A Computational Bibliometric Analysis on Emotion Regulation},
    proceedings={Pervasive Computing Paradigms for Mental Health. 7th International Conference, MindCare 2018,  Boston, MA, USA, January 9--10, 2018, Proceedings},
    proceedings_a={MINDCARE},
    year={2018},
    month={10},
    keywords={Emotion regulation Scientometric Network analysis Citation analysis},
    doi={10.1007/978-3-030-01093-5_16}
}

Javier Fernández-Álvarez
Pietro Cipresso
Desirèe Colombo
Cristina Botella
Giuseppe Riva
Year: 2018
Reading Between the Lines: A Computational Bibliometric Analysis on Emotion Regulation
MINDCARE
Springer
DOI: 10.1007/978-3-030-01093-5_16

Javier Fernández-Álvarez¹^,*, Pietro Cipresso^,*, Desirèe Colombo²^,*, Cristina Botella²^,*, Giuseppe Riva^,*

1: Department of Psychology of the Catholic University
2: Department of Basic Psychology, Clinic and Psychobiology

*Contact email: javier.fernandezkirszman@unicatt.it, p.cipresso@auxologico.it, dcolombo@uji.es, botella@uji.es, giuseppe.riva@unicatt.it

Abstract

Emotion regulation (ER) is defined as the processes deployed by an individual or group of individuals to explicitly or implicitly influence the experienced emotions in order achieve desirable states or goals. The available literature within this domain has grown exponentially in the last years. Nevertheless, to the best of our knowledge no scientometric analysis has been carried out yet. This kind of analysis allows to grasp how the scientific production within this field is configured, by establishing patterns and connections between the main authorities of the community. In the current analysis, descriptive data of the citation counts of main authors, institutions, journals, categories and countries are presented. Overall, the description shows the prominent role some authors as the principal authorities within the field, the predominance of United States in the citation counts as well as the high-impact journals in which the articles of this discipline are published. The most relevant implications of the findings are discussed in terms of future lines regarding the field of emotion regulation.

Keywords: Emotion regulation Scientometric Network analysis Citation analysis

Published: 2018-10-11
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-030-01093-5_16