Influential Papers in Artificial Intelligence and Paediatrics: Assessing RPYS by Experts Review
This work addresses a gap for researchers in paediatric AI by providing a foundational bibliometric analysis, though it is incremental as it applies existing methods to a new domain.
The study tackled the lack of historical bibliometric analysis in AI applied to paediatrics by using RPYS and CRE to identify 28 influential papers, with expert validation confirming the method's adequacy.
The use of artificial intelligence in paediatrics has vastly increased in the last few years. Interestingly, no historical bibliometric study analysing the knowledge development in this specific paediatric field has been performed yet, thus our study aimed to close this gap. References Publication Years Spectrography (RPYS), more precisely CitedReferenceExplorer (CRE) software tool was employed to achieve this aim. We identified 28 influential papers and domain experts validation showed that both, the RPYS method and CRE tool performed adequately in the identification process.