Nikan K. Namiri
ORCID: 0000-0003-2943-9546Also 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 2 indexed papers 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.
Io Flament, Bruno A. A. Nunes, Rutwik Shah, Radhika Tibrewala, Francesco Calivá +4 more
Papers
Driven by 5 papers — median percentile 56. Top paper: “Automatic Deep Learning–assisted Detection and Grading of Abnormalities in Knee MRI Studies”.
Io Flament, Nikan K. Namiri, Rutwik Shah, Upasana Bharadwaj, Thomas M. Link +4 more
Io Flament, Bruno A. A. Nunes, Rutwik Shah, Radhika Tibrewala, Francesco Calivá +4 more
Elana Meer, Gurbani Kaur, Nikan K. Namiri, Davin C. Ashraf, Bryan J. Winn +4 more
Nikan K. Namiri, Natalie Ríos, Anthony Enriquez, Lindsay A. Hampson, Raj S. Pruthi +2 more
Austin Lee, Natalie Ríos, Anthony Enriquez, Behnam Nabavizadeh, Nnenaya A. Mmonu +3 more