Differences in Citation Prediction for two Scopus/Wos-indexed Business Journals: the Journal Editors’ Perspective

Carlos Vílchez-Román; Ronaldo Ferreira de Araujo

doi:10.22477/ix.ebbc.402

Autores

Carlos Vílchez-Román Pontificia Universidad Católica del Perú (PUCP) https://orcid.org/0000-0002-6802-053X
Ronaldo Ferreira de Araujo Leiden University https://orcid.org/0000-0003-0778-9561

DOI:

https://doi.org/10.22477/ix.ebbc.402

Palavras-chave:

Document-level citation, Business journals, Negative binomial regression

Resumo

Predict citation studies hold significant importance for editors and often involve analyzing various factors to forecast the future impact or number of citations a particular paper might receive. In this work, we study the prediction of citations for two business journals indexed in Scopus and WoS using four predictors: citations, peer-review process, bibliographic information, and study characteristics. The data were analyzed with descriptive statistics, correlation analysis, and negative binomial regression. Results revealed significant differences between the two open-access business journals, highlighting that there is no unique model, even within databases. The four variables have different predictive importance.

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