Fernando Ramírez

NeuroscienceComputer 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 4 papers. Top paper: “What do across-subject analyses really tell us about neural coding?”.

What do across-subject analyses really tell us about neural coding?

Neuropsychologia(2020)10.1016/j.neuropsychologia.2020.107489

N/A

0.714DataRank · unranked

12 citations

Cambria Revsine, Elisha P. Merriam, Fernando Ramírez

Forward models of repetition suppression depend critically on assumptions of noise and granularity

Nature Communications(2020)10.1038/s41467-020-18315-w

N/A

0.360DataRank · unranked

10 citations

Elisha P. Merriam, Fernando Ramírez

A unifying model for discordant and concordant results in human neuroimaging studies of facial viewpoint selectivity

Journal of Neuroscience(2024)10.1523/jneurosci.0296-23.2024

N/A

0.241DataRank · unranked

4 citations

Javier González-Castillo, Elisha P. Merriam, Peter A. Bandettini, Fernando Ramírez, Cambria Revsine

A unifying model for discordant and concordant results in human neuroimaging studies of facial viewpoint selectivity

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.02.08.527219

N/A

0.104DataRank · unranked

1 citations

Javier González-Castillo, Elisha P. Merriam, Peter A. Bandettini, Fernando Ramírez, Cambria Revsine