Immediate Impact

10 from Science/Nature 82 standout
Sub-graph 1 of 22

Citing Papers

DAAN: A Deep Autoencoder-Based Augmented Network for Blind Multilinear Hyperspectral Unmixing
2024 Standout
Autoencoders and their applications in machine learning: a survey
2024 Standout
5 intermediate papers

Works of E. Tréguier being referenced

Implementation Strategies for Hyperspectral Unmixing Using Bayesian Source Separation
2010

Author Peers

Author Last Decade Papers Cites
E. Tréguier 255 38 30 84 43 12 308
W. C. Koeppen 277 65 41 70 33 11 340
Matilda Thomas 160 17 82 128 26 14 286
H. W. Taylor 309 43 55 76 26 6 329
E. Noe Dobrea 303 33 37 81 53 25 337
Stephen Gorevan 283 71 25 56 38 8 317
K. A. Milam 252 38 33 80 9 24 276
C. Rosemberg 213 18 48 57 8 15 356
Matthew Ball 41 42 16 94 9 11 294
F. G. Brown 242 70 32 44 8 6 274
H. W. Blodget 147 21 33 33 3 17 273

All Works

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2026