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

Maya Foster

Yale University

ORCID: 0000-0002-1617-1811
NeuroscienceDecision SciencesArts and HumanitiesMedicine

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 7%percentile
0.135Author 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 71%1 citations

Milana Khaitova, Saloni Mehta, Jean Ye, Dustin Scheinost, Maya Foster

Papers

Driven by 4 papers — median percentile 29. Top paper: Machine Learning and Prediction in Fetal, Infant, and Toddler Neuroimaging: A Review and Primer.

28 citations

Angeliki Pollatou, Alexander J. Dufford, Rongtao Jiang, Michael C. Farruggia, Matthew Rosenblatt +17 more

13 citations

Amin Karbasi, Qinghao Liang, Matthew Rosenblatt, Stephanie Noble, Maya Foster +12 more

Top 71%1 citations

Milana Khaitova, Saloni Mehta, Jean Ye, Dustin Scheinost, Maya Foster

N/A
0DataRank · unranked
0 citations

Rongtao Jiang, Brendan Adkinson, Matthew Rosenblatt, Saloni Mehta, Maya Foster +7 more