Farnaz Heidar‐Zadeh
ORCID: 0000-0002-2069-050XPilot 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.
Jie Li, Xingyi Guan, Oufan Zhang, Akshaya Kumar Das, Christopher J. Stein +8 more
Papers
Driven by 5 papers — median percentile 94. Top paper: “NewtonNet: a Newtonian message passing network for deep learning of interatomic potentials and forces”.
Jie Li, Xingyi Guan, Oufan Zhang, Akshaya Kumar Das, Christopher J. Stein +8 more
Jie Li, Farnaz Heidar‐Zadeh, Yuchen Liu, Xingyi Guan, Teresa Head‐Gordon +1 more
Meili Liu, Leila Pujal, Matthias Loipersberger, Maria Tsanai, Robert M. Vernon +5 more
Camille Depenveiller, Atsushi Tatsuma, Tin Barisin, Eugen Rusakov, Udo Göbel +23 more
Marco Martínez González, Valerii Chuiko, Alireza Tehrani, Abdul Rahman Al Nabulsi, Abigail Broscius +6 more