INVESTIGADORES
DELBIANCO Fernando AndrÉs
artículos
Título:
A Markov-switching approach to the study of citations in academic journals
Autor/es:
DELBIANCO, FERNANDO; FIORITI, ANDRÉS; HERNÁNDEZ CHANTO, ALLAN; FERNANDO TOHMÉ
Revista:
Journal of Informetrics
Editorial:
Elsevier
Referencias:
Año: 2020 vol. 14
ISSN:
1751-1577
Resumen:
In this paper, we introduce a Markovian approach to study the stability and growth of citations in academic journals by featuring a regime-switching analysis. We characterize the regime structure exhibited by the series of citations available in the Web of Science database and determine the series? transition probabilities across regimes. Our main result shows that for most of the journals studied, the series of citations exhibit a stable growth, remaining majorly in a dominant regime identified as one of low or high number of citations.
