# Influential Papers in Artificial Intelligence and Paediatrics: Assessing RPYS by Experts Review

arXiv: https://arxiv.org/abs/2111.06852 · HTML: https://mlsanity.com/paper/2111.06852/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 5 of its 25 references that are in the map.
- First posted on arXiv 27 Oct 2021.

## Builds on (most cited first, 5 of 5)

- [Artificial Intelligence for Pediatric Ophthalmology](https://mlsanity.com/paper/1904.08796/) (2019)
- [Introducing CitedReferencesExplorer (CRExplorer): A program for Reference Publication Year Spectroscopy with Cited References Standardization](https://mlsanity.com/paper/1601.01199/) (2016)
- [Identifying single influential publications in a research field: New analysis opportunities of the CRExplorer](https://mlsanity.com/paper/1801.08720/) (2018)
- [Artificial intelligence and pediatrics: A synthetic mini review](https://mlsanity.com/paper/1802.06068/) (2018)
- [Identifying historical roots in paediatric echocardiography using RPYS](https://mlsanity.com/paper/2108.00789/) (2021)

## Abstract (arXiv)

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.