Pulkit Agrawal

MedicineComputer ScienceEngineering

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 2 papers. Top paper: “ORAKLE: Optimal Risk prediction for mAke30 in patients with sepsis associated AKI using deep LEarning”.

ORAKLE: Optimal Risk prediction for mAke30 in patients with sepsis associated AKI using deep LEarning

Critical Care(2025)10.1186/s13054-025-05457-w

N/A

0DataRank · unranked

9 citations

Marinela Veshtaj, Ashwin Sawant, Pulkit Agrawal, Hernando Gómez, Mayte Suárez‐Fariñas +7 more

ORAKLE: Optimal Risk prediction for mAke30 in patients with acute Kidney injury using deep Learning

medRxiv(2025)10.1101/2025.01.18.25320769

N/A

0DataRank · unranked

0 citations

Marinela Veshtaj, Ashwin Sawant, Pulkit Agrawal, Hernando Gómez, Mayte Suárez‐Fariñas +7 more