Christopher J. Dente

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 4 papers. Top paper: “TiME OUT: Time-specific machine-learning evaluation to optimize ultramassive transfusion”.

TiME OUT: Time-specific machine-learning evaluation to optimize ultramassive transfusion

The Journal of Trauma: Injury, Infection, and Critical Care(2023)10.1097/ta.0000000000004187

N/A

0DataRank · unranked

5 citations

Jonathan Nguyen, Andrew ElHabr, Nethra Venkatayogi, Tyler Steed, Judy Wawira Gichoya +8 more

ClotCatcher: a novel natural language model to accurately adjudicate venous thromboembolism from radiology reports

BMC Medical Informatics and Decision Making(2023)10.1186/s12911-023-02369-z

N/A

0DataRank · unranked

4 citations

Joao Souza de Vale, Saransh Gupta, Pulakesh Upadhyaya, Felipe Lisboa, Seth Schobel +5 more

Derivation and validation of generalized sepsis-induced acute respiratory failure phenotypes among critically ill patients: a retrospective study

Critical Care(2024)10.1186/s13054-024-05061-4

N/A

0DataRank · unranked

14 citations

Pulakesh Upadhyaya, Carolyn Davis, Philip Yang, Simon Tallowin, Felipe Lisboa +7 more

Derivation and Validation of Generalized Sepsis-induced Acute Respiratory Failure Phenotypes Among Critically Ill Patients: A Retrospective Study

Research Square(2024)10.21203/rs.3.rs-4307475/v1

N/A

0DataRank · unranked

2 citations

Pulakesh Upadhyaya, Carolyn Davis, Philip Yang, Simon Tallowin, Felipe Lisboa +7 more