Tony Mazzulli
ORCID: 0000-0002-2682-8792Also affiliated with University Health Network, University of Toronto, Lunenfeld-Tanenbaum Research Institute, Sinai Health System
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
Why this DataRank?
An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.
Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.
Read the full methodology →Top data-sharing exemplar
The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.
Agron Plevneshi, Kazi Hassan, Wayne L. Gold, Larissa Matukas, Tony Mazzulli +10 more
Papers
Driven by 6 papers — median percentile 0. Top paper: “Federated learning for predicting clinical outcomes in patients with COVID-19”.
Holger R. Roth, Aoxiao Zhong, Ahmed Harouni, Amilcare Gentili, Anas Z. Abidin +94 more
William Klement, L.G. Singer, Scott M. Palmer, Tony Mazzulli, Shaf Keshavjee +2 more
Margot Karlikow, Masoud Norouzi, Katariina Jaenes, Seray Cicek, Fahim Masum +19 more
Ittai Dayan, Holger R. Roth, Aoxiao Zhong, Ahmed Harouni, Amilcare Gentili +93 more
Agron Plevneshi, Kazi Hassan, Wayne L. Gold, Larissa Matukas, Tony Mazzulli +10 more
Quinn Matthews, Severine Cazaux, Justin R. J. Vigar, Bárbara Nazly Rodrigues Santos, Deyse Cristina Madruga Carvalho +48 more