Immediate Impact

1 from Science/Nature 49 standout
Sub-graph 1 of 24

Citing Papers

Machine learning approaches to identify hydrochemical processes and predict drinking water quality for groundwater environment in a metropolis
2025 Standout
A systematic review of trustworthy artificial intelligence applications in natural disasters
2024 Standout
6 intermediate papers

Works of Saumen Maiti being referenced

A comparative study of artificial neural networks, Bayesian neural networks and adaptive neuro-fuzzy inference system in groundwater level prediction
2013
Assessment of groundwater quality: a fusion of geochemical and geophysical information via Bayesian neural networks
2012

Author Peers

Author Last Decade Papers Cites
Saumen Maiti 346 244 166 38 638
Norbert Péter Szabó 392 275 241 87 729
Mingliang Liu 343 325 134 29 613
Elkhedr Ibrahim 283 146 92 69 547
Jun Nishijima 333 129 81 53 735
Jean‐Jacques Royer 393 84 152 49 737
Tao Cui 184 114 123 50 607
Jerry P. Fairley 218 84 112 43 591
Jacques Deparis 334 243 74 34 649
Jeff Boisvert 113 176 86 41 605
O. Falivene 182 119 143 32 682

All Works

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Rankless by CCL
2026