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

Nahal Heydari

Columbia University

ORCID: 0000-0001-8063-1248
NeuroscienceMedicineEngineering

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 6%percentile
0.277Author 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 57%4 citations

Nahal Heydari, William T. Seidel, Marla J. Hamberger

Papers

Driven by 2 papers — median percentile 43. Top paper: Complementary auditory and Visual Naming Tests: Revised and updated for ages 16–55 years.

Top 57%4 citations

Nahal Heydari, William T. Seidel, Marla J. Hamberger

1 citations

Mary Lou Smith, William S. MacAllister, Nahal Heydari, Robyn M. Busch, Robert J. Fee +3 more