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

Aref Smiley

University of Arizona

ORCID: 0000-0002-1077-2229
EngineeringMedicineComputer 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 3%percentile
0.969Author DataRank

Indexed papers

3in 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 3 indexed papers 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 43%9 citations

Aref Smiley, Christina Echeverria, Kathi Mooney, Joseph Finkelstein

Papers

Driven by 6 papers — median percentile 43. Top paper: AI-Driven Prediction of Symptom Trajectories in Cancer Care: A Deep Learning Approach for Chemotherapy Management.

Top 43%9 citations

Aref Smiley, Christina Echeverria, Kathi Mooney, Joseph Finkelstein

Top 57%5 citations

Aref Smiley, Christina Echeverria, Kathi Mooney, Joseph Finkelstein

Top 59%4 citations

Aref Smiley, Christina Echeverria, Kathi Mooney, Joseph Finkelstein

3 citations

Joseph Finkelstein, Aref Smiley

N/A
0DataRank · unranked
2 citations

Dario Cabal, Yaneev Hacohen, Brett Hanzlicek, Aref Smiley, Yushan Wang +6 more