| Instanton based importance sampling for rare events in stochastic PDEs L Ebener, G Margazoglou, J Friedrich, L Biferale, R Grauer Chaos: An Interdisciplinary Journal of Nonlinear Science 29 (6), 2019 | 28 | 2019 |
| Stochastic Interpolation of Sparsely Sampled Time Series via Multipoint Fractional Brownian Bridges J Friedrich, S Gallon, A Pumir, R Grauer Physical Review Letters 125 (17), 170602, 2020 | 26 | 2020 |
| Multiscale velocity correlations in turbulence and Burgers turbulence: Fusion rules, Markov processes in scale, and multifractal predictions J Friedrich, G Margazoglou, L Biferale, R Grauer Physical Review E 98 (2), 023104, 2018 | 25 | 2018 |
| Modelling Lagrangian velocity and acceleration in turbulent flows as infinitely differentiable stochastic processes B Viggiano, J Friedrich, R Volk, M Bourgoin, R Cal, L Chevillard Journal of Fluid Mechanics 900, A27, 2020 | 18 | 2020 |
| Superstatistical wind fields from pointwise atmospheric turbulence measurements J Friedrich, D Moreno, M Sinhuber, M Wächter, J Peinke PRX Energy 1 (2), 023006, 2022 | 15 | 2022 |
| Generalized vortex model for the inverse cascade of two-dimensional turbulence J Friedrich, R Friedrich Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 88 (5 …, 2013 | 15* | 2013 |
| Explicit construction of joint multipoint statistics in complex systems J Friedrich, J Peinke, A Pumir, R Grauer Journal of Physics: Complexity 2 (4), 045006, 2021 | 14 | 2021 |
| Longitudinal and transverse structure functions in high Reynolds-number magneto-hydrodynamic turbulence J Friedrich, H Homann, T Schäfer, R Grauer New Journal of Physics 18 (12), 125008, 2016 | 14 | 2016 |
| Generalized description of intermittency in turbulence via stochastic methods J Friedrich, R Grauer Atmosphere 11 (9), 1003, 2020 | 12* | 2020 |
| Closure of the Lundgren-Monin-Novikov hierarchy in turbulence via a Markov property of velocity increments in scale J Friedrich Ruhr-Universität Bochum, Fakultät für Physik und Astronomie, 2017 | 12 | 2017 |
| An open source package to perform basic and advanced statistical analysis of turbulence data and other complex systems A Fuchs, S Kharche, A Patil, J Friedrich, M Wächter, J Peinke Physics of Fluids 34 (10), 2022 | 10 | 2022 |
| Multiscale urban modeling: A de-urbanization scenario in the Ruhr area J Lengyel, J Friedrich Neue dimensionen der mobilität: Technische und betriebswirtschaftliche …, 2020 | 10 | 2020 |
| Characterization of azimuthal and radial velocity fields induced by rotors in flows with a low Reynolds number J Köhler, J Friedrich, A Ostendorf, EL Gurevich Physical Review E 93 (2), 023108, 2016 | 10 | 2016 |
| Probability density functions in homogeneous and isotropic magneto-hydrodynamic turbulence J Friedrich Atmosphere 11 (4), 382, 2020 | 8 | 2020 |
| Multi-level stochastic refinement for complex time series and fields: a data-driven approach M Sinhuber, J Friedrich, R Grauer, M Wilczek New Journal of Physics 23 (6), 063063, 2021 | 7 | 2021 |
| Stochastic interpolation of sparsely sampled time series by a superstatistical random process and its synthesis in Fourier and wavelet space J Lübke, J Friedrich, R Grauer Journal of Physics: Complexity 4 (1), 015005, 2023 | 6 | 2023 |
| Modelling the interdependence of spatial scales in urban systems J Lengyel, S Alvanides, J Friedrich Environment and Planning B: Urban Analytics and City Science 50 (1), 182-197, 2023 | 6 | 2023 |
| Non-perturbative methods in statistical descriptions of turbulence J Friedrich Springer, 2020 | 6 | 2020 |
| Surrogate modelling of wind fields from point-wise atmospheric turbulence measurements J Friedrich, D Moreno, M Sinhuber, M Wächter, J Peinke Journal of Physics: Conference Series 2265 (2), 022026, 2022 | 5 | 2022 |
| Single inertial particle statistics in turbulent flows from Lagrangian velocity models J Friedrich, B Viggiano, M Bourgoin, RB Cal, L Chevillard Physical Review Fluids 7 (1), 014303, 2022 | 5 | 2022 |
