πŸ† Finalist β€” NIH Data Sharing Index (β€œS-Index”) Challenge

Morteza Heidari

ORCID: 0000-0003-0922-787X
MedicineComputer ScienceBiochemistry, Genetics and Molecular Biology

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 β€” papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile
0Author DataRank

Indexed papers

1in pilot corpus
datarank_citation_only_1hop_v6Β· scope data_onlyMethodology
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 β†’

Papers

Driven by 5 papers. Top paper: β€œCOVID-Classifier: an automated machine learning model to assist in the diagnosis of COVID-19 infection in chest X-ray images”.

187 citations

Morteza Heidari, S. Ali Shariati, Abolfazl Zargari Khuzani

12 citations

Masoom Desai, Bappaditya Ray, Morteza Heidari, Sai Kiran Maryada, Călin I. Prodan +2 more

4 citations

Ali Najafi, Elham Pourbakhtyaran, Susan Amirsalari, Golazin Shahbodagh Khan, Mahmoud Reza Ashrafi +4 more

60 citations

Morteza Heidari, Ali Shariati, Abolfazl Zargari Khuzani

33 citations

S. Lakshmivarahan, Seyedehnafiseh Mirniaharikandehei, Gopichandh Danala, Sai Kiran Maryada, Hong Liu +2 more