Mukta Vaidya

NeuroscienceEngineeringImmunology and Microbiology

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 3 papers. Top paper: “Refinement of High-Gamma EEG Features From TBI Patients With Hemicraniectomy Using an ICA Informed by Simulated Myoelectric Artifacts”.

Refinement of High-Gamma EEG Features From TBI Patients With Hemicraniectomy Using an ICA Informed by Simulated Myoelectric Artifacts

Frontiers in Neuroscience(2020)10.3389/fnins.2020.599010

N/A

0DataRank · unranked

6 citations

Po T. Wang, Mukta Vaidya, Robert D. Flint, Charles Y. Liu, Marc W. Slutzky +2 more

Electromyogram (EMG) Removal by Adding Sources of EMG (ERASE)—A Novel ICA-Based Algorithm for Removing Myoelectric Artifacts From EEG

Frontiers in Neuroscience(2021)10.3389/fnins.2020.597941

N/A

0DataRank · unranked

41 citations

Po T. Wang, Mukta Vaidya, Robert D. Flint, Charles Y. Liu, Marc W. Slutzky +2 more

Noninvasively recorded high-gamma signals improve synchrony of force feedback in a novel neurorehabilitation brain–machine interface for brain injury

Journal of Neural Engineering(2022)10.1088/1741-2552/ac7004

N/A

0DataRank · unranked

7 citations

Yongcheng Li, Po T. Wang, Mukta Vaidya, Alexander J. Barry, Mohammad Ghassemi +8 more