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.
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 →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
Driven by 5 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
Sarah Wernicke, Tamara Slosarek, Alexander M. Zenner, Nils Strelow, Darius F. Ruether +11 more
Lewis E. Tomalin, Matteo Danieletto, Eddye Golden, Micol Zweig, Sparshdeep Kaur +10 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