Muhammad Fazal
Queen Mary University of London
ORCID: 0000-0001-5863-1698Also affiliated with Tameside Hospital, East Asia Institute, Stanford University
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.
Indexed papers
Papers
Driven by 12 papers. Top paper: “Machine Learning–Enabled Multimodal Fusion of Intra-Atrial and Body Surface Signals in Prediction of Atrial Fibrillation Ablation Outcomes”.
Orod Razeghi, Ridhima Kapoor, Mahmood Alhusseini, Muhammad Fazal, Albert J. Rogers +7 more
Ridhima Kapoor, Paul Cheng, Albert J. Rogers, Sanjiv M. Narayan, Paul J. Wang +5 more
Maja Ivanovic, Antonia Chan, Sidra Xu, Miguel Franquiz, Carissa Lee +19 more
Muhammad Fazal, Paul Cheng, Ronald Witteles, June‐Wha Rhee, Tina Baykaner +1 more
Muhammad Fazal, Sagar Patel, Junaid Zaman, Tina Baykaner
Chen Wei, Katherine Lee Chuy, Kifah Hussain, Sofia Gomez, Shayena Shah +13 more
Ridhima Kapoor, Mahmood Alhusseini, Muhammad Fazal, Siyi Tang, Caroline H. Roney +9 more
Muhammad Fazal, Alexander Loh, Ridhima Kapoor, Sofia Gomez, Shayena Shah +9 more
S Greif, Muhammad Fazal, Chen Wei, Sofia Gomez, Shayena Shah +6 more
Antonia Chan, Evaline Cheng, Sidra Xu, Carissa Lee, Jonathan You +17 more
Muhammad Fazal, Atul Verma, Tina Baykaner
Jessica Malisa, June‐Wha Rhee, Ronald Witteles, Fátima Rodríguez, Muhammad Fazal