Prahalada Rao

Also affiliated with Virginia Tech

Engineering

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: “Paired Trial Classification: A Novel Deep Learning Technique for MVPA”.

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

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

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

N/A

0DataRank · unranked

14 citations

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

In vitro and in vivo effect of polycaprolactone nanofiber coating on polyethylene glycol diacrylate scaffolds for intervertebral disc repair

Biomedical Materials(2021)10.1088/1748-605x/abfd12

N/A

0DataRank · unranked

13 citations

Hari Kotturi, Helga Progri, Shanti R. Tummala, Sepideh Nikfarjam, Prahalada Rao +5 more