Alireza Radmanesh
ORCID: 0000-0002-8581-2600Also affiliated with Kaiser Permanente West Los Angeles Medical Center, Kaiser Permanente Bernard J. Tyson School of Medicine
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.
Bruno Riemenschneider, Alireza Radmanesh, Sunwoo Kim, Geunu Jeong, Jingyu Ko +18 more
Papers
Driven by 7 papers — median percentile 97. Top paper: “Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction”.
Bruno Riemenschneider, Alireza Radmanesh, Sunwoo Kim, Geunu Jeong, Jingyu Ko +18 more
Samuel W Wong, Seth Lummus, Michelle Han, Alireza Radmanesh, Saman Ahmadian +14 more
David B. Kurland, Varshini Vasudevaraja, Jonathan Serrano, Michael DeLorenzo, Alireza Radmanesh +10 more
Samuel W Wong, Jason N. Wright, Matthias Wagner, Sebastian Toescu, Michelle Han +34 more
Matthew J. Muckley, Tullie Murrell, Emma Lindsey, Anuroop Sriram, Florian Knöll +3 more
Michelle Han, Jason L. Wright, Michael Kuwabara, Jacob Mevorach, Gang Fu +39 more
Edward Wang, Derek Yecies, Lydia Tam, Michelle Han, Sebastian Toescu +25 more