Ricardo Kleinlein

Computer SciencePsychologyMedicine

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 3 papers. Top paper: “Development and validation of an interpretable longitudinal preeclampsia risk prediction using machine learning”.

Development and validation of an interpretable longitudinal preeclampsia risk prediction using machine learning

PLoS ONE(2025)10.1371/journal.pone.0323873

N/A

0DataRank · unranked

7 citations

Raphael Y. Cohen, N.J. Wheeler, Ricardo Kleinlein, John Rigoni, David W. Bates +3 more

External validation of a machine learning model to predict postpartum hemorrhage in a US northeastern healthcare system

Pregnancy(2025)10.1002/pmf2.70200

N/A

0DataRank · unranked

1 citations

Ricardo Kleinlein, N.J. Wheeler, Kartik K. Venkatesh, Eric Jelovsek, David W. Bates +2 more

SPELL: A Scalable NLP Method Using Regular Expressions and Large Language Models for Clinical Information Extraction

medRxiv(2025)10.1101/2025.07.25.25332130

N/A

0DataRank · unranked

1 citations

David W. Bates, Carolyn Guan, Kathryn J. Gray, Vesela Kovacheva, Ricardo Kleinlein