Alicia Williamson
ICF International (United States)
ORCID: 0000-0003-3545-2114Pilot 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.
Lu Yin, Alexander Pilozzi, Alicia Williamson, Padmini Chilappagari, Emma Luker +7 more
Papers
Driven by 3 papers — median percentile 38. Top paper: “Preparing clinical research data for artificial intelligence readiness: insights from the National Institute of Diabetes and Digestive and Kidney Diseases data centric challenge”.
Lu Yin, Alexander Pilozzi, Alicia Williamson, Padmini Chilappagari, Emma Luker +7 more
Alicia Williamson, Denise Anthony, Jodyn Platt, Sharon L. R. Kardia, Paige Nong
Phillipa J. Clarke, Daniel M. Romero, Lorraine R Buis, Tawanna R. Dillahunt, Vinod Vydiswaran +6 more