Renata Pyzik
ORCID: 0000-0003-1099-1672Pilot 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.
Maria Suprun, Matteo Danieletto, Micol Zweig, Eddye Golden, Renata Pyzik +12 more
Papers
Driven by 6 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
Eman Rashed, Noah Moss, Philip M. Robson, Renata Pyzik, Julie Roldan +24 more
Philip M. Robson, Renata Pyzik, Adam Jacobi, Munir Ghesani, Anelechi Anyanwu +4 more
Lewis E. Tomalin, Matteo Danieletto, Eddye Golden, Micol Zweig, Sparshdeep Kaur +10 more
Matteo Danieletto, Kyle Landell, Micol Zweig, Eddye Golden, Renata Pyzik +10 more
Philip M. Robson, Busra Cangut, Ravi Vazirani, Vittoria Vergani, Gina LaRocca +12 more