A Bayesian citation indicator of individual scientific performance combining impact factor and citation rate

Authors

  • Afschin Gandjour Frankfurt School of Finance & Management

Keywords:

citation rate, impact factor, performance indicator

Abstract

Purpose: The rise of New Public Management has led to growing demand for indicators to measure scientific performance. This paper presents a novel measure of individual scientific output that combines impact factor and citation rate in one metric.

Design/methodology/approach: The underlying methodology is a Bayesian shrinkage estimation.

Findings: This Bayesian citation indicator of individual scientific performance combines impact factor and citation rate in one metric. It calculates the weighted-average scientific impact over the remaining life of a published article. The estimator is able to account for the uncertainty associated with the future citation rate of an article.

Conclusions: This paper presents a novel measure of individual scientific output. By considering information from different metrics, it limits the disadvantages and assumptions imposed by a single metric.

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Published

2024-02-28

How to Cite

Gandjour, A. (2024). A Bayesian citation indicator of individual scientific performance combining impact factor and citation rate. International Public Management Review, 23(1), 19–27. Retrieved from https://ipmr.net/index.php/ipmr/article/view/475

Issue

Vol. 23 No. 1 (2023)

Section

Articles

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