19 citations as recorded by crossref.

1. Release process identification of non-instantaneous point source pollution in rivers via reverse flow and pollution routing J. Wang et al. https://doi.org/10.1016/j.envres.2022.113704
2. Advancing Water Resources Management Through Reservoir Release Optimization: A Study Case in Piracicaba River Basin in Brazil R. Perez et al. https://doi.org/10.3390/hydrology12100269
3. Applying Hybrid Heuristic Approach to Identify Contaminant Source Information in Transient Groundwater Flow Systems H. Yeh et al. https://doi.org/10.1155/2014/369369
4. Algebraic estimation of the specific storage from slug tests in confined aquifers in the overdamped case K. Mazi et al. https://doi.org/10.1007/s10040-021-02382-4
5. Reverse flood and pollution routing with the lag-and-route model A. Koussis & K. Mazi https://doi.org/10.1080/02626667.2015.1061194
6. Flood routing in rivers by Muskingum’s method with new adjusted coefficients K. Ostad-Ali-Askari https://doi.org/10.2139/ssrn.4741530
7. Discharge hydrograph estimation at upstream-ungauged sections by coupling a Bayesian methodology and a 2-D GPU shallow water model A. Ferrari et al. https://doi.org/10.5194/hess-22-5299-2018
8. Simulation of the Entire Process of an Interbasin Water Transfer Project for Flow Routing X. Ye et al. https://doi.org/10.3390/w16040572
9. Reverse Flood Routing in Rivers Using Linear and Nonlinear Muskingum Models M. Badfar et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0002088
10. Comparison of two model based approaches for areal rainfall estimation in urban hydrology G. Leonhardt et al. https://doi.org/10.1016/j.jhydrol.2014.02.048
11. Nonlinear Muskingum Model for Flood Routing in Irrigation Canals Using Storage Moving Average F. Hamedi et al. https://doi.org/10.1061/(ASCE)IR.1943-4774.0001000
12. Identification of groundwater contamination sources using a statistical algorithm based on an improved Kalman filter and simulation optimization J. Li et al. https://doi.org/10.1007/s10040-019-02030-y
13. Flood Routing in Rivers by Numerical Modeling Preissmann Scheme, Saint-venant Equation and Muskingum’s Method Based on Kinematic Wave Model K. Ostad-Ali-Askari https://doi.org/10.2139/ssrn.4793265
14. Reverse flow routing in open channels: A Bayesian Geostatistical Approach M. D’Oria & M. Tanda https://doi.org/10.1016/j.jhydrol.2012.06.055
15. Bayesian estimation of inflow hydrographs in ungauged sites of multiple reach systems M. D’Oria et al. https://doi.org/10.1016/j.advwatres.2013.11.007
16. A systematic review of Muskingum flood routing techniques A. Salvati et al. https://doi.org/10.1080/02626667.2024.2324132
17. A Bayesian method for missing rainfall estimation using a conceptual rainfall–runoff model S. Sun et al. https://doi.org/10.1080/02626667.2017.1390317
18. A Physically‐Based Reverse‐Stage Routing Model Considering Lateral Flow for Establishing Normal Rating Curves at Ungauged Upstream River Sections A. Pati et al. https://doi.org/10.1029/2022WR034150
19. Inverse Flood Routing Using Simplified Flow Equations D. Gąsiorowski & R. Szymkiewicz https://doi.org/10.1007/s11269-022-03244-8