🏆 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 4%percentile
0.646Author 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 31%73 citations

Io Flament, Bruno A. A. Nunes, Rutwik Shah, Radhika Tibrewala, Francesco Calivá +4 more

Papers

Driven by 4 papers — median percentile 69. Top paper: Deep Learning for Hierarchical Severity Staging of Anterior Cruciate Ligament Injuries from MRI.

Top 31%73 citations

Io Flament, Bruno A. A. Nunes, Rutwik Shah, Radhika Tibrewala, Francesco Calivá +4 more

110 citations

Io Flament, Nikan K. Namiri, Rutwik Shah, Upasana Bharadwaj, Thomas M. Link +4 more

N/A
0DataRank · unranked
6 citations

Kaiyang Cheng, Rutwik Shah, Valentina Pedoia, Francesco Calivá

2 citations

Bruno A. A. Nunes, Tyler Gleason, W. P. Fletcher, Justin Banaga, Kevin Sweetwood +8 more