19 citations as recorded by crossref.

1. Large Scale Emerging Properties from Non Hamiltonian Complex Systems M. Bianucci https://doi.org/10.3390/e19070302
2. On some aspects of the response to stochastic and deterministic forcings M. Santos Gutiérrez & V. Lucarini https://doi.org/10.1088/1751-8121/ac90fd
3. ON THE FLUCTUATION-RESPONSE RELATION IN GEOPHYSICAL SYSTEMS G. LACORATA et al. https://doi.org/10.1142/S0217979209063821
4. Estimation of the local response to a forcing in a high dimensional system using the fluctuation-dissipation theorem F. Cooper et al. https://doi.org/10.5194/npg-20-239-2013
5. Wavelet correlations to reveal multiscale coupling in geophysical systems E. Casagrande et al. https://doi.org/10.1002/2015JD023265
6. Direct-numerical-simulation-based measurement of the mean impulse response of homogeneous isotropic turbulence M. Carini & M. Quadrio https://doi.org/10.1103/PhysRevE.82.066301
7. Probing forced responses and causality in data-driven climate emulators: Conceptual limitations and the role of reduced-order models F. Falasca https://doi.org/10.1103/2f4r-k8lr
8. Extreme value statistics for dynamical systems with noise D. Faranda et al. https://doi.org/10.1088/0951-7715/26/9/2597
9. Stochastic Parameterization: Toward a New View of Weather and Climate Models J. Berner et al. https://doi.org/10.1175/BAMS-D-15-00268.1
10. Predicting forced responses of probability distributions via the fluctuation–dissipation theorem and generative modeling L. Giorgini et al. https://doi.org/10.1073/pnas.2509578122
11. Beyond the linear fluctuation-dissipation theorem: the role of causality V. Lucarini & M. Colangeli https://doi.org/10.1088/1742-5468/2012/05/P05013
12. Using some results about the Lie evolution of differential operators to obtain the Fokker-Planck equation for non-Hamiltonian dynamical systems of interest M. Bianucci https://doi.org/10.1063/1.5037656
13. On the fluctuation-dissipation relation in non-equilibrium and non-Hamiltonian systems A. Sarracino & A. Vulpiani https://doi.org/10.1063/1.5110262
14. Comparing an idealized deterministic–stochastic model (SUP model, version 1) of the tide- and wind-driven sea surface currents in the Gulf of Trieste to high-frequency radar observations S. Flora et al. https://doi.org/10.5194/gmd-18-4685-2025
15. Stochastic Perturbations to Dynamical Systems: A Response Theory Approach V. Lucarini https://doi.org/10.1007/s10955-012-0422-0
16. Detecting time-irreversibility in multiscale systems: Correlation and response functions in the Lorenz96 model N. Cocciaglia & D. Lucente https://doi.org/10.1063/5.0248658
17. Fluctuation-learning relationship in recurrent neural networks T. Kurikawa & K. Kaneko https://doi.org/10.1038/s41467-025-64976-w
18. Mathematical and physical ideas for climate science V. Lucarini et al. https://doi.org/10.1002/2013RG000446
19. Relevance of sampling schemes in light of Ruelle's linear response theory V. Lucarini et al. https://doi.org/10.1088/0951-7715/25/5/1311