Evgenia Rusak

EngineeringComputer ScienceMaterials 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: “Robust deep learning object recognition models rely on low frequency information in natural images”.

Robust deep learning object recognition models rely on low frequency information in natural images

PLoS Computational Biology(2023)10.1371/journal.pcbi.1010932

N/A

0.500DataRank · unranked

27 citations

Josue Ortega, Evgenia Rusak, Wieland Brendel, Matthias Bethge, Fabio Anselmi +4 more

Robust deep learning object recognition models rely on low frequency information in natural images

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.01.31.478509

N/A

0.312DataRank · unranked

7 citations

Josue Ortega, Evgenia Rusak, Wieland Brendel, Matthias Bethge, Fabio Anselmi +4 more