INVESTIGADORES
TOHME Fernando Abel
artículos
Título:
A Markov-switching approach to the study of citations in academic journals
Autor/es:
DELBIANCO, FERNANDO; FIORITI, ANDRÉS; HERNANDEZ-CHANTO, ALLAN; TOHMÉ, FERNANDO
Revista:
Journal of Informetrics
Editorial:
Elsevier Ltd
Referencias:
Lugar: Amsterdam; 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.
