Joshua Levitt

ORCID: 0000-0002-2510-1989

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: “Pain phenotypes classified by machine learning using electroencephalography features”.

Pain phenotypes classified by machine learning using electroencephalography features

NeuroImage(2020)10.1016/j.neuroimage.2020.117256

N/A

0DataRank · unranked

67 citations

Muhammad Muzzammil Edhi, Ryan Thorpe, Jason Leung, Mai Michishita, Suguru Koyama +11 more

EEG-LLAMAS: an open source, low latency, EEG-fMRI neurofeedback platform

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.11.21.515651

N/A

0DataRank · unranked

4 citations

Zinong Yang, Stephanie D. Williams, Stefan E. Lütschg Espinosa, Allan Garcia-Casal, Laura D. Lewis +1 more

The MotoNet: A 3 Tesla MRI-Conditional EEG Net with Embedded Motion Sensors

Sensors(2023)10.3390/s23073539

N/A

0DataRank · unranked

8 citations

André van der Kouwe, Hongbae Jeong, Laura D. Lewis, Giorgio Bonmassar, Joshua Levitt

EEG-LLAMAS: A low-latency neurofeedback platform for artifact reduction in EEG-fMRI

NeuroImage(2023)10.1016/j.neuroimage.2023.120092

N/A

0DataRank · unranked

8 citations

Zinong Yang, Stephanie D. Williams, Stefan E. Lütschg Espinosa, Allan Garcia-Casal, Laura D. Lewis +1 more