Marcello Baricco

EngineeringMaterials ScienceChemical EngineeringPhysics and Astronomy

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 1 paper. Top paper: “Achieving accurate estimates of fetal gestational age and personalised predictions of fetal growth based on data from an international prospective cohort study: a population-based machine learning study”.

Achieving accurate estimates of fetal gestational age and personalised predictions of fetal growth based on data from an international prospective cohort study: a population-based machine learning study

The Lancet Digital Health(2020)10.1016/s2589-7500(20)30131-x

N/A

0.657DataRank · unranked

79 citations

José Villar, Ali Dashti, Leila Cheikh Ismail, Eleonora Staines-Urias, Eric O. Ohuma +90 more