Standout Papers

Physics‐Informed Deep Neural Networks for Learning Parameters and Constitutive Relationships in Subsurface Fl... 2020 2026 2022 2024283
  1. Physics‐Informed Deep Neural Networks for Learning Parameters and Constitutive Relationships in Subsurface Flow Problems (2020)
    Alexandre M. Tartakovsky, Carlos Ortiz Marrero et al. Water Resources Research
  2. Physics-informed neural networks for multiphysics data assimilation with application to subsurface transport (2020)
    Qizhi He, David A. Barajas‐Solano et al. Advances in Water Resources

Immediate Impact

3 from Science/Nature 83 standout
Sub-graph 1 of 20

Citing Papers

Variational Physics-informed Neural Operator (VINO) for solving partial differential equations
2025 Standout
A guidance to intelligent metamaterials and metamaterials intelligence
2025 Standout
4 intermediate papers

Works of G. Tartakovsky being referenced

Physics‐Informed Deep Neural Networks for Learning Parameters and Constitutive Relationships in Subsurface Flow Problems
2020 Standout
Physics-informed neural networks for multiphysics data assimilation with application to subsurface transport
2020 Standout
and 1 more

Author Peers

Author Last Decade Papers Cites
G. Tartakovsky 257 142 121 318 159 13 726
David A. Barajas‐Solano 170 101 133 412 115 28 772
Nanzhe Wang 213 67 301 236 253 20 714
Kamyar Azizzadenesheli 110 49 168 224 106 28 827
Bart van Bloemen Waanders 72 65 45 253 35 34 613
Khemraj Shukla 28 79 76 285 91 29 752
Marco Iglesias 167 54 223 53 126 35 741
A. Talbot 137 189 44 81 99 22 842
Chengping Rao 23 110 37 322 131 13 664
D E R Godfrey 86 120 67 46 147 7 794
Serveh Kamrava 172 64 321 45 190 20 743

All Works

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2026