Deepika Aggrawal

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: “A Deep Learning‐Based Approach to Characterize Skull Physical Properties: A Phantom Study”.

A Deep Learning‐Based Approach to Characterize Skull Physical Properties: A Phantom Study

Journal of Biophotonics(2024)10.1002/jbio.202400131

N/A

0DataRank · unranked

2 citations

Loïc Saint‐Martin, Rayyan Manwar, Amanda P. Siegel, Dan Schonfeld, Kamran Avanaki +1 more

Relationships Between Cranial Phantom Physical Characteristics and Transcranial Acoustic Wave Signal Features

IEEE Sensors Journal(2024)10.1109/jsen.2024.3446390

N/A

0DataRank · unranked

2 citations

Deepika Aggrawal, Rayyan Manwar, Dan Schonfeld, Kamran Avanaki, Loïc Saint‐Martin

Evaluation of a Low-Cost Amplifier With System Optimization in Thermoacoustic Tomography: Characterization and Imaging of Ex-Vivo and In-Vivo Samples

IEEE Transactions on Biomedical Engineering(2025)10.1109/tbme.2025.3551260

N/A

0DataRank · unranked

1 citations

Mohsin Zafar, Ravi Prakash, Deepika Aggrawal, Danilo Erricolo, James C. Lin +2 more