13 citations as recorded by crossref.

1. Prediction Accuracy and Sloppiness of Log-Periodic Functions D. Brée et al. https://doi.org/10.2139/ssrn.1629363
2. Spatially-Explicit Prediction of Wildfire Burn Probability Using Remotely-Sensed and Ancillary Data C. Shang et al. https://doi.org/10.1080/07038992.2020.1788385
3. Ecological Systems as Complex Systems: Challenges for an Emerging Science M. Anand et al. https://doi.org/10.3390/d2030395
4. The typical seismic behavior in the vicinity of a large earthquake M. Rodkin & I. Tikhonov https://doi.org/10.1016/j.pce.2016.04.001
5. Sensitivity Analysis on Ecological Factors Affecting Forest Fire Spreading: Simulation Study H. Song & S. Lee https://doi.org/10.5532/KJAFM.2013.15.3.178
6. Signatures of discrete scale invariance inDsttime series G. Balasis et al. https://doi.org/10.1029/2011GL048019
7. Multidecadal mapping of status and trends in annual burn probability over Canada’s forested ecosystems C. Mulverhill et al. https://doi.org/10.1016/j.isprsjprs.2024.02.006
8. Unifying Wildfire Models from Ecology and Statistical Physics R. Zinck & V. Grimm https://doi.org/10.1086/605959
9. Prediction accuracy and sloppiness of log-periodic functions D. Brée et al. https://doi.org/10.1080/14697688.2011.607467
10. Effects of Geological Structure and Tree Density on the Forest Fire Patterns H. Song et al. https://doi.org/10.5532/KJAFM.2014.16.4.259
11. Local fractal and wavelet analysis of aerogeophysical data: An integrated approach in target generation of Cu-Au-Fe skarn and gold-polymetallic epithermal porphyry-related systems in eastern Transbaikalia, Russia A. Kalashnikov et al. https://doi.org/10.1016/j.oregeorev.2024.106112
12. Statistical dynamics of wildfire burned area from cellular-automata simulators A. Sahila et al. https://doi.org/10.1038/s41598-025-30851-3
13. Self-organized multistability in the forest fire model D. Rybski et al. https://doi.org/10.1103/PhysRevE.104.L012201