Rachel Wu
University of California, Riverside
ORCID: 0000-0002-7486-697XPilot 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.
Rachel Wu, John M. Hawdon, Peter Nejsum, Joseph R. Fauver, Kaylee S. Herzog
Papers
Driven by 5 papers — median percentile 0. Top paper: “Categorization in infancy based on novelty and co-occurrence”.
Esra Kürüm, C. M. Sabbir Ahmed, Debaleena Sain, Richard Ν. Aslin, Rachel Wu
Alison Trettin, Rachel Wu, Morgan Demmler, Nelson R. Vinueza, Zoe Millbern
Rachel Wu, John M. Hawdon, Peter Nejsum, Joseph R. Fauver, Kaylee S. Herzog
Rachel Wu, John M. Hawdon, Peter Nejsum, Joseph R. Fauver, Kaylee S. Herzog
Tania M. Rodríguez, Bethany P. Tavenner, Isadora Farias Lopes de Queiroz, Walter R. Boot, Jeanine M. Parisi +5 more