Martin Unverdorben
ORCID: 0000-0002-3601-8187Also affiliated with Daiichi-Sankyo (South Korea), Daiichi Sankyo (United States)
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
Indexed papers
0in pilot corpus
Papers
Driven by 1 paper. Top paper: “Comparative Performance of Machine Learning and Traditional Risk Scores in Predicting Adverse Events After Transcatheter Aortic Valve Replacement in Patients With Atrial Fibrillation”.
1 citations
George Dangas, Amanda P. Borrow, Rüdiger Smolnik, Felix Just, Cathy Chen +6 more