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

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

Risultato della ricerca: Contributo in libroContributo a convegno

2 Citazioni (Scopus)

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.
Lingua originaleEnglish
Titolo della pubblicazione ospiteLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Pagine119-128
Numero di pagine10
Volume253
DOI
Stato di pubblicazionePubblicato - 2018
Evento7th International Conference on Pervasive Computing Paradigms for Mental Health, MindCare 2018 - usa
Durata: 9 gen 201810 gen 2018

Convegno

Convegno7th International Conference on Pervasive Computing Paradigms for Mental Health, MindCare 2018
Cittàusa
Periodo9/1/1810/1/18

Keywords

  • Citation analysis
  • Computer Networks and Communications
  • Emotion regulation
  • Network analysis
  • Scientometric

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