Somdatta Goswami

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: “A physics-informed variational DeepONet for predicting crack path in quasi-brittle materials”.

A physics-informed variational DeepONet for predicting crack path in quasi-brittle materials

Computer Methods in Applied Mechanics and Engineering(2022)10.1016/j.cma.2022.114587

N/A

0DataRank · unranked

396 citations

Minglang Yin, Yue Yu, George Em Karniadakis, Somdatta Goswami

Neural operator learning of heterogeneous mechanobiological insults contributing to aortic aneurysms

Journal of The Royal Society Interface(2022)10.1098/rsif.2022.0410

N/A

0DataRank · unranked

32 citations

David S. Li, Bruno V. Rego, Marcos Latorre, Jay D. Humphrey, George Em Karniadakis +1 more

Importance of localized dilatation and distensibility in identifying determinants of thoracic aortic aneurysm with neural operators

PLoS Computational Biology(2025)10.1371/journal.pcbi.1013550

N/A

0DataRank · unranked

2 citations

Somdatta Goswami, Qianying Cao, Vivek Oommen, Roland Assi, Jay D. Humphrey +2 more

Importance of localized dilatation and distensibility in identifying determinants of thoracic aortic aneurysm with neural operators

arXiv (Cornell University)(2025)10.48550/arxiv.2509.26576

N/A

0DataRank · unranked

0 citations

Somdatta Goswami, Qianying Cao, Vivek Oommen, Roland Assi, Jay D. Humphrey +2 more