Léa Michel
ORCID: 0000-0003-1529-573XAlso affiliated with Radboud University Medical Center
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.
Isabelle F. van der Velpen, Bradley T. Baker, Ishaan Batta, Kyle J. Cahill, Sarah Genon +18 more
Papers
Driven by 3 papers — median percentile 30. Top paper: “Grey and white matter metrics demonstrate distinct and complementary prediction of differences in cognitive performance in children: Findings from ABCD (N= 11 876)”.
Ethan M. McCormick, Rogier Kievit, Léa Michel
Isabelle F. van der Velpen, Bradley T. Baker, Ishaan Batta, Kyle J. Cahill, Sarah Genon +18 more
Ethan M. McCormick, Rogier Kievit, Léa Michel