Hamid Ghaednia

Also affiliated with Sinai Health System

Engineering

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

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 1 paper. Top paper: “Using machine learning in the prediction of symptomatic venous thromboembolism following ankle fracture”.

Using machine learning in the prediction of symptomatic venous thromboembolism following ankle fracture

Foot and Ankle Surgery(2023)10.1016/j.fas.2023.10.003

N/A

0DataRank · unranked

12 citations

Bardiya Akhbari, Noopur Ranganathan, David Shin, Hamid Ghaednia, Soheil Ashkani‐Esfahani +3 more