Nicolás Amigó
Metropolitan University of Technology
ORCID: 0000-0002-8956-8318EngineeringMaterials Science
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
Indexed papers
0in pilot corpus
Papers
Driven by 1 paper. Top paper: “Cerebral aneurysm rupture status classification using statistical and machine learning methods”.
Cerebral aneurysm rupture status classification using statistical and machine learning methods
Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine(2021)10.1177/09544119211000477
N/A
24 citations
Álvaro Valencia, Wei Wu, Sourav S. Patnaik, Ender A. Finol, Nicolás Amigó