The impact of Monte Carlo simulation: a scientometric analysis of scholarly literature
Maria Grazia Pia (1), Tullio Basaglia (2), Zane W. Bell (3), Paul V., Dressendorfer (4) ((1) INFN Sezione di Genova, (2) CERN, (3) ORNL, (4) IEEE)
TL;DR
This paper conducts a scientometric analysis of Monte Carlo simulation literature to evaluate its role and impact in scientific research and engineering, focusing on radiation physics journals.
Contribution
It provides a quantitative assessment of Monte Carlo methods and codes' influence in scholarly research and engineering applications.
Findings
Monte Carlo methods are widely used in radiation physics research.
The study highlights the growth and significance of Monte Carlo codes in scientific literature.
Quantitative metrics demonstrate the impact of Monte Carlo simulations in engineering applications.
Abstract
A scientometric analysis of Monte Carlo simulation and Monte Carlo codes has been performed over a set of representative scholarly journals related to radiation physics. The results of this study are reported and discussed. They document and quantitatively appraise the role of Monte Carlo methods and codes in scientific research and engineering applications.
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