25 citations as recorded by crossref.

1. Estimating the population mean for a vertical profile of energy dissipation rate N. Sugiura et al. https://doi.org/10.1038/s41598-020-77414-2
2. Review article: Scaling, dynamical regimes, and stratification. How long does weather last? How big is a cloud? S. Lovejoy https://doi.org/10.5194/npg-30-311-2023
3. No monsters, no miracles: in nonlinear sciences hydrology is not an outlier! D. Schertzer et al. https://doi.org/10.1080/02626667.2010.505173
4. Scaling turbulent atmospheric stratification. II: Spatial stratification and intermittency from lidar data M. Lilley et al. https://doi.org/10.1002/qj.202
5. Investigation of intermittency and generalized self-similarity of turbulent boundary layers in laboratory and magnetospheric plasmas: towards a quantitative definition of plasma transport features V. Budaev et al. https://doi.org/10.3367/UFNr.0181.201109a.0905
6. Bridging the Scaling Gap: A Review of Nonlinear Paradigms for the Estimation and Understanding of Extreme Rainfall from Heavy Storms K. Cheung https://doi.org/10.3390/fractalfract9120827
7. THE MULTIFRACTAL SCALING OF CLOUD RADIANCES FROM 1M TO 1KM D. SACHS et al. https://doi.org/10.1142/S0218348X02001385
8. MULTIFRACTAL CHARACTERIZATION OF REMOTELY SENSED VOLCANIC FEATURES: A CASE STUDY FROM KILAUEA VOLCANO, HAWAII D. HARVEY et al. https://doi.org/10.1142/S0218348X02001191
9. SCALE INVARIANCE AND STRATIFICATION: THE UNIFIED MULTIFRACTAL MODEL OF HYDRAULIC CONDUCTIVITY I. TCHIGUIRINSKAIA https://doi.org/10.1142/S0218348X02001373
10. Empirical evidences of a common multifractal signature in economic, biological and physical systems O. Pont et al. https://doi.org/10.1016/j.physa.2009.01.041
11. Space–time complexity and multifractal predictability D. Schertzer & S. Lovejoy https://doi.org/10.1016/j.physa.2004.04.032
12. Multifractal Analysis of Rainfall-Rate Datasets Obtained by Radar and Numerical Model: The Case Study of Typhoon Bolaven (2012) J. Lee et al. https://doi.org/10.1175/JAMC-D-18-0209.1
13. Direct Evidence of Multifractal Atmospheric Cascades from Planetary Scales down to 1 km S. Lovejoy et al. https://doi.org/10.1103/PhysRevLett.86.5200
14. Horizontal cascade structure of atmospheric fields determined from aircraft data S. Lovejoy et al. https://doi.org/10.1029/2009JD013353
15. Dynamical model and nonextensive statistical mechanics of liquid water path fluctuations in stratus clouds K. Ivanova et al. https://doi.org/10.1029/2006JD007493
16. 23/9 dimensional anisotropic scaling of passive admixtures using lidar data of aerosols M. Lilley et al. https://doi.org/10.1103/PhysRevE.70.036307
17. Intermittency study of high frequency global solar radiation sequences under a tropical climate R. Calif et al. https://doi.org/10.1016/j.solener.2013.09.018
18. Scaling turbulent atmospheric stratification. I: Turbulence and waves S. Lovejoy et al. https://doi.org/10.1002/qj.201
19. The elliptical dimension of space-time atmospheric stratification of passive admixtures using lidar data A. Radkevich et al. https://doi.org/10.1016/j.physa.2007.03.046
20. MULTIFRACTALS, GENERALIZED SCALE INVARIANCE AND COMPLEXITY IN GEOPHYSICS D. SCHERTZER & S. LOVEJOY https://doi.org/10.1142/S0218127411030647
21. Singularity analysis of digital signals through the evaluation of their unpredictable point manifold O. Pont et al. https://doi.org/10.1080/00207160.2012.748895
22. Multifractal vector fields and stochastic Clifford algebra D. Schertzer & I. Tchiguirinskaia https://doi.org/10.1063/1.4937364
23. Fractal aircraft trajectories and nonclassical turbulent exponents S. Lovejoy et al. https://doi.org/10.1103/PhysRevE.70.036306
24. Microcanonical multifractal formalism: Application to the estimation of ocean surface velocities J. Isern‐Fontanet et al. https://doi.org/10.1029/2006JC003878
25. Multifractal temperature and flux of temperature variance in fully developed turbulence F. Schmitt et al. https://doi.org/10.1209/epl/i1996-00438-4