Maxim V. Shapovalov

Biochemistry, Genetics and Molecular BiologyMaterials ScienceComputer Science

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: “Multifaceted analysis of training and testing convolutional neural networks for protein secondary structure prediction”.

Multifaceted analysis of training and testing convolutional neural networks for protein secondary structure prediction

PLoS ONE(2020)10.1371/journal.pone.0232528

N/A

0DataRank · unranked

19 citations

Roland L. Dunbrack, Slobodan Vučetić, Maxim V. Shapovalov

The Rosetta All-Atom Energy Function for Macromolecular Modeling and Design

UNC Libraries(2020)10.17615/6sk2-v510

N/A

0DataRank · unranked

0 citations

Matthew J. O’Meara, Philip Bradley, Maxim V. Shapovalov, Rhiju Das, Hahnbeom Park +15 more