Roland Faigle

ORCID: 0000-0002-9074-1915

Also affiliated with Johns Hopkins Medicine, Sarasota Memorial Hospital

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 4 papers. Top paper: “Identifying Modifiable Predictors of Patient Outcomes After Intracerebral Hemorrhage with Machine Learning”.

Identifying Modifiable Predictors of Patient Outcomes After Intracerebral Hemorrhage with Machine Learning

Neurocritical Care(2020)10.1007/s12028-020-00982-8

N/A

0DataRank · unranked

35 citations

Bradley W. Weaver, Eric M. Liotta, Matthew B. Maas, Roland Faigle, Daniel K. Mroczek +2 more

Temporal Trends in Stroke Thrombolysis in the US by Race and Ethnicity, 2009-2018

JAMA(2021)10.1001/jama.2021.12966

N/A

0DataRank · unranked

19 citations

Bridget J. Chen, Nae‐Yuh Wang, Rebecca F. Gottesman, Roland Faigle, Deji Suolang

Predicting Early Seizures After Intracerebral Hemorrhage with Machine Learning

Neurocritical Care(2022)10.1007/s12028-022-01470-x

N/A

0DataRank · unranked

26 citations

Julianne Murphy, Katharine Colton, Hanyin Wang, Hye Jung Shin, Roland Faigle +2 more

Phenotypes of Patients with Intracerebral Hemorrhage, Complications, and Outcomes

Neurocritical Care(2024)10.1007/s12028-024-02067-2

N/A

0DataRank · unranked

3 citations

Juliana Silva Pinheiro do Nascimento, Ethan J. Houskamp, Hanyin Wang, Meghan R. Hutch, Yuzhe Liu +3 more