Neus Valveny
Diagnostics for the Real World (United States)
ORCID: 0000-0003-1105-5018Pilot 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 2 indexed papers 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.
Talita Duarte‐Salles, Albert Prats‐Uribe, Anthony G. Sena, Andrea Pistillo, Sara Khalid +70 more
Papers
Driven by 3 papers — median percentile 77. Top paper: “Unraveling COVID-19: A Large-Scale Characterization of 4.5 Million COVID-19 Cases Using CHARYBDIS”.
Talita Duarte‐Salles, Albert Prats‐Uribe, Anthony G. Sena, Andrea Pistillo, Sara Khalid +70 more
Andrea Pistillo, Sergio Fernández‐Bertolín, Martina Recalde, Elena Roel, Diana Puente +33 more
Inga Steinbrenner, Ulla T. Schultheiß, Neus Valveny, Paola Rebora, Susan Halabi +6 more