Standout Papers

Efficient data assimilation for spatiotemporal chaos: A local ensemble transform K... 2004 2026 2011 2018 1.1k
  1. Efficient data assimilation for spatiotemporal chaos: A local ensemble transform Kalman filter (2007)
    Brian R. Hunt, Eric J. Kostelich et al. Physica D Nonlinear Phenomena
  2. Model-Free Prediction of Large Spatiotemporally Chaotic Systems from Data: A Reservoir Computing Approach (2018)
    Jaideep Pathak, Brian R. Hunt et al. Physical Review Letters
  3. A local ensemble Kalman filter for atmospheric data assimilation (2004)
    Edward Ott, Brian R. Hunt et al. Tellus A Dynamic Meteorology and Oceanography
  4. Using machine learning to replicate chaotic attractors and calculate Lyapunov exponents from data (2017)
    Jaideep Pathak, Zhixin Lu et al. Chaos An Interdisciplinary Journal of Nonlinear Science

Immediate Impact

3 by Nobel laureates 28 from Science/Nature 77 standout
Sub-graph 1 of 21

Citing Papers

Emerging opportunities and challenges for the future of reservoir computing
2024 Standout
Neural general circulation models for weather and climate
2024 StandoutNature
2 intermediate papers

Works of Brian R. Hunt being referenced

A Hybrid Atmospheric Model Incorporating Machine Learning Can Capture Dynamical Processes Not Captured by Its Physics‐Based Component
2023
A Hybrid Approach to Atmospheric Modeling That Combines Machine Learning With a Physics‐Based Numerical Model
2022
and 6 more

Author Peers

Author Last Decade Papers Cites
Brian R. Hunt 2551 3272 3002 140 8.9k
Norbert Marwan 3575 2934 3244 258 13.7k
Edward N. Lorenz 7826 7020 7338 84 20.8k
Angelo Vulpiani 7906 1030 2223 292 13.2k
Roberto Benzi 4656 1238 2643 198 14.7k
Itamar Procaccia 8351 1237 1580 397 21.8k
Harry L. Swinney 10115 1193 1722 256 28.5k
J. Doyne Farmer 5919 508 1181 163 17.3k
Eric J. Kostelich 1373 2231 2075 76 4.8k
U. Frisch 2554 1776 2043 132 16.3k
Shlomo Havlin 3613 636 2131 75 12.0k

All Works

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Rankless by CCL
2026