Maria L. Weese

Decision SciencesComputer ScienceMathematics

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: “Machine Learning Models Identify Inhibitors of New Delhi Metallo-β-lactamase”.

Machine Learning Models Identify Inhibitors of New Delhi Metallo-β-lactamase

Journal of Chemical Information and Modeling(2024)10.1021/acs.jcim.3c02015

N/A

0.241DataRank · unranked

4 citations

Mahesh Aitha, Caitlyn A. Thomas, Aidan M. Sturgill, Mitch Fairweather, Amy Hu +19 more

Large Row-Constrained Supersaturated Designs for High-throughput Screening

arXiv (Cornell University)(2024)10.48550/arxiv.2407.06173

N/A

0DataRank · unranked

1 citations

Stephen E. Wright, Isaac Williams, Richard C. Page, Andor J. Kiss, Surendra Bikram Silwal +3 more

Large row-constrained supersaturated designs for high-throughput screening

Biometrics(2025)10.1093/biomtc/ujaf160

N/A

0DataRank · unranked

0 citations

Stephen E. Wright, Isaac Williams, Richard C. Page, Andor J. Kiss, Surendra Bikram Silwal +3 more