Sheila Pakdaman
University of Southern California
ORCID: 0000-0002-7791-1406Also affiliated with Matrix Institute on Addictions
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.
Indexed papers
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.
Raul Cruz‐Cano, Sheila Pakdaman, Nicholas Wong, Jennifer B. Unger, Jessica L. Barrington‐Trimis +2 more
Papers
Driven by 1 paper — median percentile 47. Top paper: “Associations between living in localities with e-cigarette sales restrictions and e-cigarette use change among young adults in Los Angeles County”.
Raul Cruz‐Cano, Sheila Pakdaman, Nicholas Wong, Jennifer B. Unger, Jessica L. Barrington‐Trimis +2 more