25 citations as recorded by crossref.

1. Modeling River Mixing Mechanism Using Data Driven Model A. Haghiabi https://doi.org/10.1007/s11269-016-1475-7
2. SHEAR-DRIVEN FLUSHING OF MICRO-TIDAL MARINAS E. Murphy et al. https://doi.org/10.9753/icce.v33.currents.59
3. Multi-Gene Genetic Programming Regression Model for Prediction of Transient Storage Model Parameters in Natural Rivers H. Noh et al. https://doi.org/10.3390/w13010076
4. Cycle of vertical and horizontal mixing in a shallow tidal creek P. McKay & D. Di Iorio https://doi.org/10.1029/2008JC005204
5. Impact of Sediment Layer on Longitudinal Dispersion in Sewer Systems M. Sokáč & Y. Velísková https://doi.org/10.3390/w13223168
6. Conceptual Stormwater Quality Models by Alternative Linear and Non-linear Formulations: an Event-Based Approach S. Sandoval et al. https://doi.org/10.1007/s10666-022-09838-1
7. An approximate method for 1-D simulation of pollution transport in streams with dead zones M. Sokáč et al. https://doi.org/10.2478/johh-2018-0035
8. Computational  Modeling of Pollution Transmission in Rivers A. Parsaie & A. Haghiabi https://doi.org/10.1007/s13201-015-0319-6
9. Hydrochemical evaluation of groundwater quality: a case study from parts of North-Central, Nigeria O. Ige et al. https://doi.org/10.1007/s40899-021-00577-x
10. Predicting the longitudinal dispersion coefficient by radial basis function neural network A. Parsaie & A. Haghiabi https://doi.org/10.1007/s40808-015-0037-y
11. Numerical modelling-based comparison of longitudinal dispersion coefficient formulas for solute transport in rivers M. Ramezani et al. https://doi.org/10.1080/02626667.2019.1605240
12. Top‐down and data‐based mechanistic modelling of rainfall–flow dynamics at the catchment scale P. Young https://doi.org/10.1002/hyp.1328
13. Modelling of solute transport in rivers under different flow rates: A case study without transient storage R. Romanowicz et al. https://doi.org/10.2478/s11600-012-0050-8
14. Mathematical model of solute transport in rivers with storage zones using nonlinear dispersion flux approach M. Faraji & M. Mazaheri https://doi.org/10.1080/02626667.2022.2099280
15. Numerical routing of tracer concentrations in rivers with stagnant zones A. Parsaie & A. Haghiabi https://doi.org/10.2166/ws.2016.175
16. Assessment of transient storage exchange and advection–dispersion mechanisms from concentration signatures along breakthrough curves M. Zaramella et al. https://doi.org/10.1016/j.jhydrol.2016.05.004
17. Longitudinal dispersion coefficient in ice-covered rivers Y. Chen et al. https://doi.org/10.1080/00221686.2016.1175519
18. Mass transport of contaminated soil released into surface water by landslides (Göta River, SW Sweden) G. Göransson et al. https://doi.org/10.5194/hess-16-1879-2012
19. Effect of nonlocal transverse mixing on river flows dispersion: A numerical study M. Pannone https://doi.org/10.1029/2009WR008100
20. Prediction of longitudinal dispersion coefficient using multivariate adaptive regression splines A. HAGHIABI https://doi.org/10.1007/s12040-016-0708-8
21. Application of Asymmetrical Statistical Distributions for 1D Simulation of Solute Transport in Streams M. Sokáč et al. https://doi.org/10.3390/w11102145
22. A Method for Calibrating the Transient Storage Model from the Early and Late-Time Behavior of Breakthrough Curves E. Dallan et al. https://doi.org/10.3390/w15050979
23. Quantifying Fluid Retention Due to Natural Vegetation in a Forest Floodplain Analogue Using the Aggregated Dead Zone (ADZ) Dilution Approach P. Carling et al. https://doi.org/10.1029/2020WR027070
24. The hydraulics of a straight bedrock channel: Insights from solute dispersion studies K. Richardson & P. Carling https://doi.org/10.1016/j.geomorph.2005.09.022
25. Evaluation of dispersion parameters for River São Pedro, Brazil, by the simulated annealing method P. Rodrigues et al. https://doi.org/10.1080/17415977.2012.665907