Saurabh Sihag

University at Albany, State University of New York

NeuroscienceComputer Science

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: “Predicting Brain Age using Transferable coVariance Neural Networks”.

Predicting Brain Age using Transferable coVariance Neural Networks

arXiv (Cornell University)(2022)10.48550/arxiv.2210.16363

N/A

0DataRank · unranked

1 citations

Gonzalo Mateos, Corey T. McMillan, Alejandro Ribeiro, Saurabh Sihag

Explainable Brain Age Prediction using coVariance Neural Networks

arXiv (Cornell University)(2023)10.48550/arxiv.2305.18370

N/A

0DataRank · unranked

1 citations

Gonzalo Mateos, Corey T. McMillan, Alejandro Ribeiro, Saurabh Sihag

Disentangling Neurodegeneration With Brain Age Gap Prediction Models: A graph signal processing perspective

IEEE Signal Processing Magazine(2025)10.1109/msp.2025.3596731

N/A

0DataRank · unranked

1 citations

Gonzalo Mateos, Alejandro Ribeiro, Saurabh Sihag

Explainable Brain Age Gap Prediction in Neurodegenerative Conditions Using Covariance Neural Networks

(2025)10.1109/isbi60581.2025.10980674

N/A

0DataRank · unranked

2 citations

Gonzalo Mateos, Alejandro Ribeiro, Saurabh Sihag