| Applied koopmanism M Budišić, R Mohr, I Mezić Chaos: An Interdisciplinary Journal of Nonlinear Science 22 (4), 2012 | 948 | 2012 |
| ROK-induced cross-link formation stiffens passive muscle: reversible strain-induced stress softening in rabbit detrusor JE Speich, L Borgsmiller, C Call, R Mohr, PH Ratz American Journal of Physiology-Cell Physiology 289 (1), C12-C21, 2005 | 80 | 2005 |
| Extended dynamic mode decomposition with learned Koopman eigenfunctions for prediction and control C Folkestad, D Pastor, I Mezic, R Mohr, M Fonoberova, J Burdick 2020 american control conference (acc), 3906-3913, 2020 | 74 | 2020 |
| Data driven modal decompositions: analysis and enhancements Z Drmac, I Mezic, R Mohr SIAM Journal on Scientific Computing 40 (4), A2253-A2285, 2018 | 64 | 2018 |
| Construction of eigenfunctions for scalar-type operators via Laplace averages with connections to the Koopman operator R Mohr, I Mezić arXiv preprint arXiv:1403.6559, 2014 | 60 | 2014 |
| On the approximation of Koopman spectra for measure preserving transformations N Govindarajan, R Mohr, S Chandrasekaran, I Mezic SIAM Journal on Applied Dynamical Systems 18 (3), 1454-1497, 2019 | 30 | 2019 |
| Data driven Koopman spectral analysis in Vandermonde--Cauchy form via the DFT: Numerical method and theoretical insights Z Drmac, I Mezic, R Mohr SIAM Journal on Scientific Computing 41 (5), A3118-A3151, 2019 | 22 | 2019 |
| Applications of Koopman mode analysis to neural networks I Manojlović, M Fonoberova, R Mohr, A Andrejčuk, Z Drmač, Y Kevrekidis, ... arXiv preprint arXiv:2006.11765, 2020 | 19 | 2020 |
| An operator theoretic view on pruning deep neural networks WT Redman, M Fonoberova, R Mohr, IG Kevrekidis, I Mezic arXiv preprint arXiv:2110.14856, 2021 | 12 | 2021 |
| Spectral properties of the Koopman operator in the analysis of nonstationary dynamical systems RM Mohr University of California, Santa Barbara, 2014 | 12 | 2014 |
| Koopman principle eigenfunctions and linearization of diffeomorphisms R Mohr, I Mezić arXiv preprint arXiv:1611.01209, 2016 | 11 | 2016 |
| Algorithmic (semi-) conjugacy via koopman operator theory WT Redman, M Fonoberova, R Mohr, IG Kevrekidis, I Mezić 2022 IEEE 61st Conference on Decision and Control (CDC), 6006-6011, 2022 | 10 | 2022 |
| Identification of nonlinear systems using the infinitesimal generator of the koopman semigroup—a numerical implementation of the mauroy–goncalves method Z Drmač, I Mezić, R Mohr Mathematics 9 (17), 2075, 2021 | 10 | 2021 |
| On the approximation of Koopman spectra of measure-preserving flows N Govindarajan, R Mohr, S Chandrasekaran, I Mezic SIAM Journal on Applied Dynamical Systems 20 (1), 232-261, 2021 | 10 | 2021 |
| On least squares problems with certain Vandermonde--Khatri--Rao structure with applications to DMD Z Drmac, I Mezic, R Mohr SIAM journal on scientific computing 42 (5), A3250-A3284, 2020 | 9 | 2020 |
| An agent-based model of urban insurgence: Effect of gathering sites and Koopman mode analysis M Fonoberova, I Mezić, J Mezić, R Mohr PloS one 13 (10), e0205259, 2018 | 9 | 2018 |
| Koopman mode analysis of agent-based models of logistics processes J Hogg, M Fonoberova, I Mezić, R Mohr Plos one 14 (9), e0222023, 2019 | 8 | 2019 |
| Predicting the critical number of layers for hierarchical support vector regression R Mohr, M Fonoberova, Z Drmač, I Manojlović, I Mezić Entropy 23 (1), 37, 2020 | 6 | 2020 |
| Koopman spectrum and stability of cascaded dynamical systems R Mohr, I Mezić The Koopman Operator in Systems and Control: Concepts, Methodologies, and …, 2020 | 5 | 2020 |
| On equivalent optimization of machine learning methods WT Redman, JM Bello-Rivas, M Fonoberova, R Mohr, IG Kevrekidis, ... arXiv preprint arXiv:2302.09160, 2023 | 4 | 2023 |
