Standout Papers

Nonlinear principal component analysis using autoassociative neural networks 1991 2026 2002 2014 1.6k
  1. Nonlinear principal component analysis using autoassociative neural networks (1991)
    Mark Kramer AIChE Journal
  2. Dynamic cross-frequency couplings of local field potential oscillations in rat striatum and hippocampus during performance of a T-maze task (2008)
    Adriano B. L. Tort, Mark Kramer et al. Proceedings of the National Academy of Sciences
  3. Rhizosphere processes are quantitatively important components of terrestrial carbon and nutrient cycles (2014)
    Adrien C. Finzi, Rose Abramoff et al. Global Change Biology
  4. Age-Related Changes in 1/fNeural Electrophysiological Noise (2015)
    Bradley Voytek, Mark Kramer et al. Journal of Neuroscience
  5. Modeling chemical processes using prior knowledge and neural networks (1994)
    Mark Kramer et al. AIChE Journal

Immediate Impact

10 by Nobel laureates 21 from Science/Nature 91 standout
Sub-graph 1 of 16

Citing Papers

Dynamics of particle network in composite battery cathodes
2022 StandoutScience
Behavior needs neural variability
2021 Standout

Works of Mark Kramer being referenced

Age-Related Changes in 1/fNeural Electrophysiological Noise
2015 Standout
Nonlinear principal component analysis using autoassociative neural networks
1991 Standout

Author Peers

Author Last Decade Papers Cites
Mark Kramer 4112 398 1706 1251 241 9.9k
Jens Timmer 3217 2 1919 611 359 15.8k
Hervé Abdi 3894 42 249 388 157 14.7k
Xiaoli Li 4687 1 1586 825 925 19.4k
David R. Brillinger 1586 30 703 1199 177 12.1k
Yong Hu 1829 572 665 556 8.4k
Yan Li 1967 4 336 334 364 6.8k
Jiang Wang 3679 1254 259 471 8.3k
Bin He 10409 2 3078 175 611 18.3k
Daniel D. Lee 1651 12 446 268 75 11.6k
Hung T. Nguyen 1779 2 345 939 573 9.3k

All Works

Loading papers...

Rankless by CCL
2026