Rianne A. van der Heijden
University of Wisconsin–Madison
ORCID: 0000-0001-6964-2536Also affiliated with Erasmus MC
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.
J. Runhaar, Rianne A. van der Heijden, Maryam Zokaeinikoo, Mingrui Yang, X. Li +27 more
Papers
Driven by 4 papers — median percentile 91. Top paper: “The KNee OsteoArthritis Prediction (KNOAP2020) challenge: An image analysis challenge to predict incident symptomatic radiographic knee osteoarthritis from MRI and X-ray images”.
J. Runhaar, Rianne A. van der Heijden, Maryam Zokaeinikoo, Mingrui Yang, X. Li +27 more
Rianne A. van der Heijden, Jayse Weaver, Diego Hernando, Scott B. Reeder, Daiki Tamada
Rianne A. van der Heijden, Gregory Simchick, Diego Hernando, Timothy J. Allen
Matthew Mader, Rianne A. van der Heijden, Scott B. Reeder, Diego Hernando, Ali Pirasteh +1 more