Evaluating the speed of citation in scientific journals: A survival analysis-based approach

Giuseppe Giordano, Michelangelo Misuraca and Marialuisa Restaino

Journal of Informetrics, 2025, vol. 19, issue 3

Abstract: This research addresses the need to understand how quickly scientific papers gain citations. Survival analysis is employed to model the time until papers receive their first citation. Leveraging the Kaplan-Meier estimator and the discrete-time model, the study evaluates the likelihood of citation over time and analyses factors influencing citation speed, focusing on the number of coauthors, the journal's impact factor, and the number of cited references. The approach is applied to a set of top journals in the Information Science & Library Science subject category defined by Web of Science. The main findings reveal notable differences in the citation probability between different journals, with specific sources exhibiting faster citation rates. By modelling citation speed, the study offers a data-driven basis for informed journal selection, aimed at maximising early scholarly recognition. It provides a practical, empirically grounded decision-support framework for authors seeking timely scientific appraisal through strategic journal selection.

Keywords: Bibliometrics; Citation analysis; Journal impact (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:infome:v:19:y:2025:i:3:s1751157725000781

DOI: 10.1016/j.joi.2025.101714

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