Matthew R. Johnson

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 6 papers. Top paper: “Variability in the analysis of a single neuroimaging dataset by many teams”.

Variability in the analysis of a single neuroimaging dataset by many teams

Nature(2020)10.1038/s41586-020-2314-9

N/A

9.7DataRank · unranked

1209 citations

Felix Holzmeister, Colin F. Camerer, Anna Dreber, Jürgen Huber, Magnus Johannesson +95 more

Deep-Learning-Based Multivariate Pattern Analysis (dMVPA): A Tutorial and a Toolbox

Frontiers in Human Neuroscience(2021)10.3389/fnhum.2021.638052

N/A

0.406DataRank · unranked

14 citations

Jacob Williams, Phui Cheng Lim, Ashok Samal, Prahalada Rao, Matthew R. Johnson +1 more

Paired Trial Classification: A Novel Deep Learning Technique for MVPA

Frontiers in Neuroscience(2020)10.3389/fnins.2020.00417

N/A

0DataRank · unranked

9 citations

Ashok Samal, Prahalada Rao, Matthew R. Johnson, Jacob Williams

Deep-Learning-Based Multivariate Pattern Analysis (dMVPA): A Tutorial and a Toolbox

Insecta mundi(2020)10.1101/2020.12.03.410910

N/A

0DataRank · unranked

1 citations

Jacob Williams, Phui Cheng Lim, Ashok Samal, Prahalada Rao, Matthew R. Johnson +1 more

Refreshing and removing items in working memory: Different approaches to equivalent processes?

Cognition(2021)10.1016/j.cognition.2021.104655

N/A

0DataRank · unranked

14 citations

Matthew R. Johnson, Evan Nathaniel Lintz

A new tool for equating lexical stimuli across experimental conditions

MethodsX(2021)10.1016/j.mex.2021.101545

N/A

0DataRank · unranked

1 citations

Phui Cheng Lim, Matthew R. Johnson, Evan Nathaniel Lintz