Katharine Fraser

EngineeringMedicine

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: “Machine learning based on computational fluid dynamics enables geometric design optimisation of the NeoVAD blades”.

Machine learning based on computational fluid dynamics enables geometric design optimisation of the NeoVAD blades

Scientific Reports(2023)10.1038/s41598-023-33708-9

N/A

0DataRank · unranked

24 citations

Shweta Karnik, P. Alex Smith, Yaxin Wang, O.H. Frazier, Katharine Fraser +1 more

Personalized Numerical Cardiovascular Model with Weight Growth for Evaluating Pediatric Left Ventricular Assist Devices: Derivation from an Experimental Mock Circulatory Loop

Annals of Biomedical Engineering(2023)10.1007/s10439-023-03376-x

N/A

0DataRank · unranked

2 citations

Victor Tedesco, Simon Kiang, Shweta Karnik, David Nguyen, O.H. Frazier +3 more

Machine Learning based on Computational Fluid Dynamics enables geometric design optimisation of the NeoVAD blades

Research Square(2023)10.21203/rs.3.rs-2405001/v1

N/A

0DataRank · unranked

0 citations

Shweta Karnik, Peter Alex Smith, Yaxin Wang, O.H. Frazier, Katharine Fraser +1 more

Dissipated energy and efficiency as objective functions for the design of the NeoVAD rotary blood pump

PubMed(2023)10.1109/embc40787.2023.10340919

N/A

0DataRank · unranked

0 citations

Shweta Karnik, P. Alex Smith, Yaxin Wang, Katharine Fraser, Lee Nissim