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

Gita Ghiasi

Université de Montréal

ORCID: 0000-0001-8296-6674
Decision SciencesSocial SciencesEconomics, Econometrics and FinanceBusiness, Management and AccountingArts and Humanities

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 100%percentile
0Author DataRank

Indexed papers

2in 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 2 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 100%0 citations

Vincent Larivière, Cassidy R. Sugimoto, Gita Ghiasi

Papers

Driven by 7 papers — median percentile 0. Top paper: On the Compliance of Women Engineers with a Gendered Scientific System.

132 citations

Vincent Larivière, Cassidy R. Sugimoto, Gita Ghiasi

32 citations

Gita Ghiasi, Maxime Sainte-Marie, Vincent Larivière, Nicolas Bérubé

41 citations

Gita Ghiasi, Philippe Mongeon, Vincent Larivière, Marc‐André Simard

13 citations

Vincent Larivière, Gita Ghiasi

Top 100%0 citations

Vincent Larivière, Cassidy R. Sugimoto, Gita Ghiasi

N/A
0DataRank · unranked
0 citations

Gita Ghiasi, Matthew Harsh, Vincent Larivière, Amanda Kolopanis

Top 100%0 citations

Vincent Larivière, Cassidy R. Sugimoto, Gita Ghiasi