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

Matthew Siegelman

Columbia University

ORCID: 0000-0002-4093-8437
NeurosciencePsychologyComputer Science

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 5%percentile
0.512Author 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 38%16 citations

Greta Tuckute, Josef Affourtit, Hannah Small, Zachary Mineroff, Hope Kean +15 more

Papers

Driven by 5 papers — median percentile 62. Top paper: LanA (Language Atlas): A probabilistic atlas for the language network based on fMRI data from >800 individuals.

Top 38%16 citations

Greta Tuckute, Josef Affourtit, Hannah Small, Zachary Mineroff, Hope Kean +15 more

184 citations

Idan Blank, Matthew Siegelman, Zachary Mineroff, Evelina Fedorenko

114 citations

Matthew Siegelman, Evgeniia Diachek, Steven T. Piantadosi, Zachary Mineroff, Richard Futrell +4 more

1 citations

Rose Bruffaerts, Alvincé L. Pongos, Cory Shain, Benjamin Lipkin, Matthew Siegelman +7 more

43 citations

Hope Kean, Colton Casto, Benjamin Lipkin, Josef Affourtit, Matthew Siegelman +3 more