Md. Nazmul Islam

Biochemistry, 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 — 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: “Distributed learning for heterogeneous clinical data with application to integrating COVID-19 data across 230 sites”.

Distributed learning for heterogeneous clinical data with application to integrating COVID-19 data across 230 sites

npj Digital Medicine(2022)10.1038/s41746-022-00615-8

N/A

0.477DataRank · unranked

23 citations

Chongliang Luo, Md. Nazmul Islam, Natalie E. Sheils, John Buresh, Mackenzie Edmondson +5 more

An efficient distributed algorithm with application to COVID-19 data from heterogeneous clinical sites

medRxiv(2020)10.1101/2020.11.17.20220681

N/A

0DataRank · unranked

0 citations

Chongliang Luo, Md. Nazmul Islam, Natalie E. Sheils, John Buresh, Mackenzie Edmondson +5 more

DLMM as a lossless one-shot algorithm for collaborative multi-site distributed linear mixed models

Nature Communications(2022)10.1038/s41467-022-29160-4

N/A

0DataRank · unranked

28 citations

Md. Nazmul Islam, Natalie E. Sheils, John Buresh, Jenna Reps, Martijn J. Schuemie +23 more