Artículo

A field- and time-normalized Bayesian approach to measuring the impact of a publication

Resumen

Measuring the impact of a publication in a fair way is a significant challenge in bibliometrics, as it must not introduce biases between fields and should enable comparison of the impact of publications from different years. In this paper, we propose a Bayesian approach to tackle this problem, motivated by empirical data demonstrating heterogeneity in citation distributions. The approach uses the a priori distribution of citations in each field to estimate the expected a posteriori distribution in that field. This distribution is then employed to normalize the citations received by a publication in that field. Our main contribution is the Bayesian Impact Score, a measure of the impact of a publication. This score is increasing and concave with the number of citations received and decreasing and convex with the age of the publication. This means that the marginal score of an additional citation decreases as the cumulative number of citations increases and increases as the time since publication of the document grows. Finally, we present an empirical application of our approach in eight subject categories using the Scopus database and a comparison with the normalized impact indicator Field Citation Ratio from the Dimensions AI database.
Autores
Kohler, AF; Digiampietri, LA
Título
Classification of authors, institutions, and countries, using productivity, centrality, and impact metrics: The field of tourism studies in Brazil (journals), 1990-2018
Afiliaciones
Universidade de Sao Paulo
Año
2021
DOI
10.7784/rbtur.v15i3.2035
Tipo de acceso abierto
Green Published, gold
Referencia
WOS:000891850400004
Artículo obtenido de:
WOS
Fuente
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