Md Mahmudul Hasan

Also affiliated with Universiti Tunku Abdul Rahman

Agricultural and Biological SciencesMedicineMaterials 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 — 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 →

Papers

Driven by 3 papers. Top paper: “A scalable method for discovering significant subnetworks”.

A scalable method for discovering significant subnetworks

BMC Systems Biology(2013)10.1186/1752-0509-7-s4-s3

N/A

0.269DataRank · unranked

5 citations

Yusuf Kavurucu, Tamer Kahveci, Md Mahmudul Hasan

Machine Learning Prediction of Pharmacogenetic Testing Uptake Among Opioid-Prescribed Patients Using Electronic Health Records: Retrospective Cohort Study

JMIR Medical Informatics(2026)10.2196/81048

N/A

0.165DataRank · unranked

2 citations

Je-Won Hong, Jiang Bian, Larisa H. Cavallari, Julio D. Duarte, Danielle Nelson +4 more

Deep learning strategies for addressing issues with small datasets in 2D materials research: Microbial Corrosion

Frontiers in Microbiology(2022)10.3389/fmicb.2022.1059123

N/A

0DataRank · unranked

22 citations

Shiva Aryal, Tuyen Do, Rishav Gautum, Md Mahmudul Hasan, Bharat K. Jasthi +3 more