Influential Papers in Artificial Intelligence and Paediatrics: Assessing RPYS by Experts Review
Peter Kokol, Jernej Zavr\v{s}nik, Helena Bla\v{z}un Vo\v{s}ner
TL;DR
This study applies bibliometric analysis using RPYS and CRE software to identify influential papers in AI and paediatrics, filling a gap in understanding the field's knowledge development.
Contribution
It demonstrates the effectiveness of RPYS and CRE in identifying key publications in a specific medical subfield for the first time.
Findings
28 influential papers identified
RPYS and CRE validated by experts
Method effective for bibliometric analysis in medicine
Abstract
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.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsArtificial Intelligence in Healthcare and Education · scientometrics and bibliometrics research