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.
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This work was supported by the Marie Skłodowska-Curie Innovative Training Network AffecTech (project ID: 722022) funded by the European Commission H2020.
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Fernández-Álvarez, J., Cipresso, P., Colombo, D., Botella, C., Riva, G. (2018). Reading Between the Lines: A Computational Bibliometric Analysis on Emotion Regulation. In: Cipresso, P., Serino, S., Ostrovsky, Y., Baker, J. (eds) Pervasive Computing Paradigms for Mental Health. MindCare 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 253. Springer, Cham. https://doi.org/10.1007/978-3-030-01093-5_16
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