Victor R. Barradas

EngineeringNeuroscienceMedicine

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: “When 90% of the variance is not enough: residual EMG from muscle synergy extraction influences task performance”.

When 90% of the variance is not enough: residual EMG from muscle synergy extraction influences task performance

Journal of Neurophysiology(2020)10.1152/jn.00472.2019

N/A

0DataRank · unranked

46 citations

Jason J. Kutch, Toshihiro Kawase, Yasuharu Koike, Nicolas Schweighofer, Victor R. Barradas

Design of an Isometric End-Point Force Control Task for Electromyography Normalization and Muscle Synergy Extraction From the Upper Limb Without Maximum Voluntary Contraction

Frontiers in Human Neuroscience(2022)10.3389/fnhum.2022.805452

N/A

0DataRank · unranked

8 citations

Victor R. Barradas, Nicolas Schweighofer, Yasuharu Koike, Woorim Cho

Force Reserve Predicts Compensation in Reaching Movement with Induced Shoulder Strength Deficit

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.03.28.587142

N/A

0DataRank · unranked

0 citations

Victor R. Barradas, Nicolas Schweighofer, Denis Mottet, Germain Faity

Self-organizing recruitment of compensatory areas maximizes residual motor performance post-stroke

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.06.28.601213

N/A

0DataRank · unranked

0 citations

Victor R. Barradas, Nicolas Schweighofer, Kevin Lee