Robbert J. de Haas

Medicine

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: “Prediction of metastatic pheochromocytoma and paraganglioma: a machine learning modelling study using data from a cross-sectional cohort”.

Prediction of metastatic pheochromocytoma and paraganglioma: a machine learning modelling study using data from a cross-sectional cohort

The Lancet Digital Health(2023)10.1016/s2589-7500(23)00094-8

N/A

0DataRank · unranked

68 citations

Annika M.A. Berends, Angelos Filippatos, Tamara Prodanov, Leah Meuter, Alexander Prejbisz +18 more