Parsa Eskandar
University of California, Santa Cruz
ORCID: 0000-0001-7682-3140Pilot 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.
Jiadong Lin, Michelle D. Noyes, Young-Jun Kwon, Isaac Wong, Nidhi Koundinya +252 more
Papers
Driven by 3 papers — median percentile 35. Top paper: “Using the linear references from the pangenome to discover missing autism variants”.
Jiadong Lin, Michelle D. Noyes, Young-Jun Kwon, Isaac Wong, Nidhi Koundinya +252 more
Parsa Eskandar, Matteo Tommaso Ungaro, Hickey, Glenn, Jordan M. Eizenga, Adam M. Novak +7 more
Parsa Eskandar, Matteo Tommaso Ungaro, Hickey, Glenn, Jordan M. Eizenga, Adam M. Novak +7 more