Richard E. Neapolitan

Computer ScienceBiochemistry, Genetics and Molecular BiologyDecision 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 2 papers. Top paper: “Leveraging Bayesian networks and information theory to learn risk factors for breast cancer metastasis”.

Leveraging Bayesian networks and information theory to learn risk factors for breast cancer metastasis

BMC Bioinformatics(2020)10.1186/s12859-020-03638-8

N/A

0DataRank · unranked

13 citations

Alan Wells, Adam Brufsky, Darshan Shetty, Kahmil Shajihan, Richard E. Neapolitan +1 more

Inferring causal molecular networks: empirical assessment through a community-based effort

UNC Libraries(2020)10.17615/j5nb-5n89

N/A

0DataRank · unranked

0 citations

Steven M. Hill, Daoud Meerzaman, Venkateshan Kannan, Bahman Afsari, Takeshi Hase +95 more