🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Maziar Raissi

Brown University

ORCID: 0000-0002-8467-4568

Physics and AstronomyComputer ScienceEngineering

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: “Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations”.

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

Journal of Computational Physics(2019)10.1016/j.jcp.2018.10.045

N/A

1.4DataRank · unranked

15614 citations

Paris Perdikaris, G.E. Karniadakis, George Em Karniadakis, Maziar Raissi

Hidden fluid mechanics: Learning velocity and pressure fields from flow visualizations

Science(2020)10.1126/science.aaw4741

N/A

1.1DataRank · unranked

1863 citations

Alireza Yazdani, George Em Karniadakis, Maziar Raissi

Systems biology informed deep learning for inferring parameters and hidden dynamics

PLoS Computational Biology(2020)10.1371/journal.pcbi.1007575

N/A

0DataRank · unranked

317 citations

Lu Lu, Maziar Raissi, George Em Karniadakis, Alireza Yazdani