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

Michael J. Pazzani

University of Southern California

ORCID: 0000-0002-4240-7349
Computer 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
0.388Author 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 47%10 citations

Sreenidhi Iyengar, Haroon Rasheed, Galo Apolo, Zhiwei Li, Aniket Kumar +19 more

Papers

Driven by 2 papers — median percentile 53. Top paper: Comparison of Deep Learning and Clinician Performance for Detecting Referable Glaucoma from Fundus Photographs in a Safety Net Population.

Top 47%10 citations

Sreenidhi Iyengar, Haroon Rasheed, Galo Apolo, Zhiwei Li, Aniket Kumar +19 more

N/A
0DataRank · unranked
48 citations

Matteo Gadaleta, Amitabh C. Pandey, Michael J. Pazzani, Steven R. Steinhubl, Giorgio Quer +1 more