32 citations as recorded by crossref.

1. Analysis of daily streamflow complexity by Kolmogorov measures and Lyapunov exponent D. Mihailović et al. 10.1016/j.physa.2019.03.041
2. Complexity–entropy analysis of daily stream flow time series in the continental United States F. Serinaldi et al. 10.1007/s00477-013-0825-8
3. Bayesian Model Averaging: A Unique Model Enhancing Forecasting Accuracy for Daily Streamflow Based on Different Antecedent Time Series S. Kim et al. 10.3390/su12229720
4. Complexity of hydrometeorological variables: false nearest neighbour algorithm N. Saji et al. 10.2166/hydro.2024.178
5. Spatial downscaling of rainfall from general circulation models: A chaos theory-based framework B. Deepthi & B. Sivakumar 10.1016/j.atmosres.2024.107531
6. Crisis-induced intermittency in Mexican dam flows B. García-Rojas et al. 10.1016/j.chaos.2022.111864
7. Deterministic chaotic dynamics of Raba River flow (Polish Carpathian Mountains) M. Kędra 10.1016/j.jhydrol.2013.11.055
8. Monthly rain amounts at Fabra Observatory (Barcelona, NE Spain): fractal structure, autoregressive processes and correlation with monthly Western Mediterranean Oscillation index X. Lana et al. 10.1002/joc.4797
9. Evidence for deterministic chaos in long-term high-resolution karstic streamflow time series D. Labat et al. 10.1007/s00477-015-1175-5
10. Modeling Nonlinear Monthly Evapotranspiration Using Soft Computing and Data Reconstruction Techniques S. Kim et al. 10.1007/s11269-013-0479-9
11. Distinguishing chaotic and stochastic dynamics from time series by using a multiscale symbolic approach L. Zunino et al. 10.1103/PhysRevE.86.046210
12. Cohort aggregation modelling for complex forest stands: Spruce–aspen mixtures in British Columbia O. García 10.1016/j.ecolmodel.2016.10.020
13. Parameter Identification of Lorenz System with Incomplete Information: Case of One Known and Two Unknown Functions M. Shatalov et al. 10.4028/www.scientific.net/JERA.55.103
14. Identifying and Evaluating Chaotic Behavior in Hydro-Meteorological Processes S. Kim et al. 10.1155/2015/195940
15. Daily Flow Forecasting based on Deterministic and Stochastic Features D. Kim et al. 10.9798/KOSHAM.2025.25.3.9
16. Complexity of streamflows in the west-flowing rivers of India C. Srivalli et al. 10.1007/s00477-019-01665-3
17. Kolmogorov Complexity Based Information Measures Applied to the Analysis of Different River Flow Regimes D. Mihailović et al. 10.3390/e17052973
18. Complex networks, community structure, and catchment classification in a large-scale river basin K. Fang et al. 10.1016/j.jhydrol.2016.11.056
19. Randomness representation of Turbulence in an alluvial channel affected by downward seepage A. Sharma et al. 10.1016/j.physa.2018.06.012
20. On the inherent predictability of precipitation across the United States C. Dhanya & G. Villarini 10.1007/s00704-017-2231-5
21. Investigating chaos in river stage and discharge time series R. Khatibi et al. 10.1016/j.jhydrol.2011.10.026
22. Temporal streamflow analysis: Coupling nonlinear dynamics with complex networks N. Yasmin & B. Sivakumar 10.1016/j.jhydrol.2018.06.072
23. Nonlinear dynamics of level variations in the Caspian Sea I. Kozhevnikova & V. Shveikina 10.1134/S0097807808030056
24. Streamflow variability and classification using false nearest neighbor method R. Vignesh et al. 10.1016/j.jhydrol.2015.10.056
25. Prediction of groundwater levels using evidence of chaos and support vector machine F. Huang et al. 10.2166/hydro.2017.102
26. Analysis of Drought Length using the BDS statistic and Close Returns Test S. Kim et al. 10.1007/s12205-014-0587-y
27. Chaos-based multigene genetic programming: A new hybrid strategy for river flow forecasting M. Ghorbani et al. 10.1016/j.jhydrol.2018.04.054
28. Nonlinear dynamics and chaos in hydrologic systems: latest developments and a look forward B. Sivakumar 10.1007/s00477-008-0265-z
29. Temporal dynamics of streamflow: application of complex networks X. Han et al. 10.1186/s40562-018-0109-8
30. Chaotic Features of Decomposed Time Series from Tidal River Water Level M. Lee et al. 10.3390/app12010199
31. The Choice of an Appropriate Information Dissimilarity Measure for Hierarchical Clustering of River Streamflow Time Series, Based on Calculated Lyapunov Exponent and Kolmogorov Measures D. Mihailović et al. 10.3390/e21020215
32. Complexity analysis of the turbulent environmental fluid flow time series D. Mihailović et al. 10.1016/j.physa.2013.09.062