Elham Khodayari Moez
Lunenfeld-Tanenbaum Research Institute
ORCID: 0000-0002-9639-4205Also affiliated with 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.
Matthew T. Warkentin, Elham Khodayari Moez, Yonathan Brhane, Geoffrey Liu, Rayjean J. Hung +1 more
Papers
Driven by 6 papers — median percentile 37. Top paper: “Radiomics analysis to predict pulmonary nodule malignancy using machine learning approaches”.
Hamad Al‐Sawaihey, Stephen Lam, Geoffrey Liu, Brenda Diergaarde, Jian‐Min Yuan +10 more
Karine Alcala, Elham Khodayari Moez, Florence Guida, Sera Thomas, Hana Zahed +51 more
Matthew T. Warkentin, Elham Khodayari Moez, Yonathan Brhane, Geoffrey Liu, Rayjean J. Hung +1 more
Yonathan Brhane, Matthew T. Warkentin, Stephen Lam, John K. Field, Geoffrey Liu +13 more
Karine Alcala, Elham Khodayari Moez, Florence Guida, Sera Thomas, Hana Zahed +50 more
Matthew T. Warkentin, Yonathan Brhane, Stephen Lam, John K. Field, Geoffrey Liu +14 more