Kyle Landell
Artificial Intelligence in Medicine (Canada)
ORCID: 0000-0001-5277-6888Also affiliated with Icahn School of Medicine at Mount Sinai
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.
Maria Suprun, Matteo Danieletto, Micol Zweig, Eddye Golden, Renata Pyzik +12 more
Papers
Driven by 6 papers — median percentile 68. Top paper: “A machine learning approach to determine resilience utilizing wearable device data: analysis of an observational cohort”.
Maria Suprun, Matteo Danieletto, Micol Zweig, Eddye Golden, Renata Pyzik +12 more
Matteo Danieletto, Jessica K. Whang, Kyle Landell, Drew Helmus, Hyder Said +7 more
Matteo Danieletto, Kyle Landell, Micol Zweig, Eddye Golden, Georgy Orlov +8 more
Matteo Danieletto, Kyle Landell, Micol Zweig, Eddye Golden, Renata Pyzik +10 more
Nivedita Nukavarapu, Noémie Elhadad, Suzanne Bakken, Michal A. Elovitz, Robert Hirten +5 more
Nivedita Nukavarapu, Noémie Elhadad, Suzanne Bakken, Michal A. Elovitz, Robert Hirten +5 more