30 citations as recorded by crossref.

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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. Spatial downscaling of rainfall from general circulation models: A chaos theory-based framework B. Deepthi & B. Sivakumar 10.1016/j.atmosres.2024.107531
5. Crisis-induced intermittency in Mexican dam flows B. García-Rojas et al. 10.1016/j.chaos.2022.111864
6. Deterministic chaotic dynamics of Raba River flow (Polish Carpathian Mountains) M. Kędra 10.1016/j.jhydrol.2013.11.055
7. 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
8. Evidence for deterministic chaos in long-term high-resolution karstic streamflow time series D. Labat et al. 10.1007/s00477-015-1175-5
9. Modeling Nonlinear Monthly Evapotranspiration Using Soft Computing and Data Reconstruction Techniques S. Kim et al. 10.1007/s11269-013-0479-9
10. Distinguishing chaotic and stochastic dynamics from time series by using a multiscale symbolic approach L. Zunino et al. 10.1103/PhysRevE.86.046210
11. Cohort aggregation modelling for complex forest stands: Spruce–aspen mixtures in British Columbia O. García 10.1016/j.ecolmodel.2016.10.020
12. 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
13. Identifying and Evaluating Chaotic Behavior in Hydro-Meteorological Processes S. Kim et al. 10.1155/2015/195940
14. Complexity of streamflows in the west-flowing rivers of India C. Srivalli et al. 10.1007/s00477-019-01665-3
15. Kolmogorov Complexity Based Information Measures Applied to the Analysis of Different River Flow Regimes D. Mihailović et al. 10.3390/e17052973
16. Complex networks, community structure, and catchment classification in a large-scale river basin K. Fang et al. 10.1016/j.jhydrol.2016.11.056
17. Randomness representation of Turbulence in an alluvial channel affected by downward seepage A. Sharma et al. 10.1016/j.physa.2018.06.012
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23. Prediction of groundwater levels using evidence of chaos and support vector machine F. Huang et al. 10.2166/hydro.2017.102
24. Analysis of Drought Length using the BDS statistic and Close Returns Test S. Kim et al. 10.1007/s12205-014-0587-y
25. Chaos-based multigene genetic programming: A new hybrid strategy for river flow forecasting M. Ghorbani et al. 10.1016/j.jhydrol.2018.04.054
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29. 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
30. Complexity analysis of the turbulent environmental fluid flow time series D. Mihailović et al. 10.1016/j.physa.2013.09.062