Mahsa Shabani
ORCID: 0000-0001-7128-0474Also affiliated with University of Amsterdam
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.
Jiadong Lin, Michelle D. Noyes, Young-Jun Kwon, Isaac Wong, Nidhi Koundinya +252 more
Papers
Driven by 5 papers — median percentile 35. Top paper: “FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare”.
Alejandro F. Frangi, Antonio R. Porras, Ben Glocker, Celia Cintas, Curtis P. Langlotz +44 more
Mahsa Shabani, Edward S. Dove, Heidi Beate Bentzen, Pascal Borry, Michael Burgess +19 more
Jiadong Lin, Michelle D. Noyes, Young-Jun Kwon, Isaac Wong, Nidhi Koundinya +252 more
James W. Hazel, Mahsa Shabani, I. Glenn Cohen, Patricia Cervera de la Cruz
Aasa Feragen, Abdul Joseph Fofanah, Alejandro F. Frangi, Alena Buyx, Anais Emelie +95 more