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Emotion regulation (ER) is defined as the processes deployed by an individual or group of individuals to explicitly or implicitly manage the experienced emotions in order to achieve desirable states or goals. The literature available 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 grasping 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 the main authors, institutions, journals, categories and countries are presented. Overall, the description shows the prominent role of James Gross as the principal cited author 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.
emotion regulation, Citation analysis; Emotion regulation; Network analysis; Scientometric; Computer Networks and Communications, citation analysis, scientometric, network analysis
emotion regulation, Citation analysis; Emotion regulation; Network analysis; Scientometric; Computer Networks and Communications, citation analysis, scientometric, network analysis
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 8 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
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