🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

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.

Top 2%percentile
2.3Author DataRank

Indexed papers

1in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
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.

Top 9%
2.3DataRank
Top 9%127 citations

Guillaume Brysbaert, Théo Mauri, Nurul Nadzirin, Sameer Velankar, Raphaël A. G. Chaleil +95 more

Papers

Driven by 1 paper — median percentile 91. Top paper: Prediction of protein assemblies, the next frontier: The CASP14‐CAPRI experiment.

Top 9%
2.3DataRank
Top 9%127 citations

Guillaume Brysbaert, Théo Mauri, Nurul Nadzirin, Sameer Velankar, Raphaël A. G. Chaleil +95 more