Atiquer Rahman Sarkar

Computer ScienceHealth ProfessionsDecision SciencesSocial Sciences

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 3 papers. Top paper: “De-identification is not enough: a comparison between de-identified and synthetic clinical notes”.

De-identification is not enough: a comparison between de-identified and synthetic clinical notes

Scientific Reports(2024)10.1038/s41598-024-81170-y

N/A

0DataRank · unranked

25 citations

Yao-Shun Chuang, Noman Mohammed, Xiaoqian Jiang, Atiquer Rahman Sarkar

De-identification is not always enough

arXiv (Cornell University)(2024)10.48550/arxiv.2402.00179

N/A

0DataRank · unranked

1 citations

Yao-Shun Chuang, Noman Mohammed, Xiaoqian Jiang, Atiquer Rahman Sarkar

Robust privacy amidst innovation with large language models through a critical assessment of the risks

Journal of the American Medical Informatics Association(2025)10.1093/jamia/ocaf037

N/A

0DataRank · unranked

5 citations

Atiquer Rahman Sarkar, Yu-Chun Hsu, Noman Mohammed, Xiaoqian Jiang, Yao-Shun Chuang