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

Dylan Halpern

University of Chicago

ORCID: 0000-0002-9766-6065
MathematicsMedicineSocial Sciences

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
0.808Author 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 25%
0.808DataRank
Top 25%14 citations

Qinyun Lin, Ryan Wang, Stephanie Yang, Steve Goldstein, Marynia Kolak +1 more

Papers

Driven by 4 papers — median percentile 75. Top paper: Dimensions of uncertainty: a spatiotemporal review of five COVID-19 datasets.

Top 25%
0.808DataRank
Top 25%14 citations

Qinyun Lin, Ryan Wang, Stephanie Yang, Steve Goldstein, Marynia Kolak +1 more

9 citations

Dylan Halpern, Qinyun Lin, Susan Paykin, Christina Mair, Marynia Kolak +1 more

2 citations

Qinyun Lin, Jonathan Ozik, Marynia Kolak, Nicholson Collier, Dylan Halpern +5 more

2 citations

Qinyun Lin, Jonathan Ozik, Marynia Kolak, Nicholson Collier, Dylan Halpern +5 more