54 citations as recorded by crossref.

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2. A review of hydrologic signatures and their applications H. McMillan 10.1002/wat2.1499
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4. Atmospheric dynamics of extreme discharge events from 1979 to 2016 in the southern Central Andes F. Castino et al. 10.1007/s00382-020-05458-1
5. Baseflow estimation based on a self-adaptive non-linear reservoir algorithm in a rainy watershed of eastern China S. He et al. 10.1016/j.jenvman.2023.117379
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8. Seasonal growth potential of Oncorhynchus mykiss in streams with contrasting prey phenology and streamflow G. Rossi et al. 10.1002/ecs2.4211
9. Soil frost effects on streamflow recessions in a subarctic catchment S. Ploum et al. 10.1002/hyp.13401
10. Characterizing hydrograph recessions from satellite-derived soil moisture S. Basso et al. 10.1016/j.scitotenv.2020.143469
11. A multiple hydrograph separation technique for identifying hydrological model structures and an interpretation of dominant process controls on flow duration curves C. Leong & Y. Yokoo 10.1002/hyp.14569
12. When good signatures go bad: Applying hydrologic signatures in large sample studies H. McMillan et al. 10.1002/hyp.14987
13. Landscape structures regulate the contrasting response of recession along rainfall amounts J. Lee et al. 10.5194/hess-27-4279-2023
14. baseflow: a MATLAB and GNU Octave package for baseflow recession analysis M. Cooper & T. Zhou 10.21105/joss.05492
15. Hydrograph recession extraction algorithm (HYDRA): Minimizing influence of stage uncertainty in identification of recession events B. Thomas 10.1016/j.advwatres.2021.103937
16. A statistical approach for identifying factors governing streamflow recession behaviour H. Li & A. Ameli 10.1002/hyp.14718
17. Long-term decline in rainfall causing depletion in groundwater aquifer storage sustaining the springflow in the middle-Himalayan headwaters S. Tarafdar & S. Dutta 10.1007/s12040-023-02136-8
18. Recession analysis revisited: impacts of climate on parameter estimation E. Jachens et al. 10.5194/hess-24-1159-2020
19. Changes in nonlinearity and stability of streamflow recession characteristics under climate warming in a large glaciated basin of the Tibetan Plateau J. Wang et al. 10.5194/hess-26-3901-2022
20. Detecting Permafrost Active Layer Thickness Change From Nonlinear Baseflow Recession M. Cooper et al. 10.1029/2022WR033154
21. An improved method to estimate the rate of change of streamflow recession and basin synthetic recession parameters from hydrographs M. Gao et al. 10.1016/j.jhydrol.2021.127254
22. Recession curve power-law exponent estimation: is there a perfect approach? D. Sharma & B. Biswal 10.1080/02626667.2022.2070022
23. Hydrograph and recession flows simulations using deep learning: Watershed uniqueness and objective functions A. Gupta & S. McKenna 10.1016/j.hydroa.2024.100198
24. Estimating hydraulic properties and residence times of unconfined aquifers T. McMahon & R. Nathan 10.1016/j.jhydrol.2025.132861
25. Catchment processes can amplify the effect of increasing rainfall variability M. Müller et al. 10.1088/1748-9326/ac153e
26. Recession flow prediction in gauged and ungauged basins by just considering past discharge information C. Reddyvaraprasad et al. 10.1080/02626667.2019.1643465
27. Watershed‐Scale Effective Hydraulic Properties of the Continental United States A. Tashie et al. 10.1029/2020MS002440
28. Increasing non‐linearity of the storage‐discharge relationship in sub‐Arctic catchments A. Hinzman et al. 10.1002/hyp.13860
29. Inferring heavy tails of flood distributions through hydrograph recession analysis H. Wang et al. 10.5194/hess-27-4369-2023
30. An Empirical Reevaluation of Streamflow Recession Analysis at the Continental Scale A. Tashie et al. 10.1029/2019WR025448
31. Baseflow and transmission loss: A review T. McMahon & R. Nathan 10.1002/wat2.1527
32. Universal recession constants and their potential to predict recession flow D. Sharma et al. 10.1016/j.jhydrol.2023.130244
33. Impact of climate and NDVI changes on catchment storage–discharge dynamics in southern Taiwan C. Huang & H. Yeh 10.1080/02626667.2022.2114835
34. The Role of Inflow and Infiltration (I/I) in Urban Water Balances and Streamflow Regimes: A Hydrograph Analysis Along the Sewershed‐Watershed Continuum K. Zhang et al. 10.1029/2022WR032529
35. Foraging modes and movements of Oncorhynchus mykiss as flow and invertebrate drift recede in a California stream G. Rossi et al. 10.1139/cjfas-2020-0398
36. Evaluation of seasonal catchment dynamic storage components using an analytical streamflow duration curve model C. Huang & H. Yeh 10.1186/s42834-022-00161-8
37. Storage-Discharge Relationships under Forest Cover Change in Ethiopian Highlands S. Gebrehiwot et al. 10.3390/w13162310
38. A new method for effective parameterization of catchment-scale aquifer through event-scale recession analysis M. Hong & B. Mohanty 10.1016/j.advwatres.2023.104408
39. Transpiration and subsurface controls of streamflow recession characteristics A. Tashie et al. 10.1002/hyp.13530
40. A Nonlinear Recession Model for Horizontal Aquifers H. Basha 10.1029/2022WR034297
41. Representing Bidirectional Hydraulic Continuum Between the Stream and Hillslope in the National Water Model for Improved Streamflow Prediction M. Hong & B. Mohanty 10.1029/2022MS003325
42. On the Effect of Nonlinear Recessions on Low Flow Variability: Diagnostic of an Analytical Model for Annual Flow Duration Curves N. Karst et al. 10.1029/2019WR024912
43. Flow dynamics at the continental scale: Streamflow correlation and hydrological similarity A. Betterle et al. 10.1002/hyp.13350
44. A probabilistic framework for robust master recession curve parameterization M. Gao et al. 10.1016/j.jhydrol.2023.129922
45. Constructing a geography of heavy-tailed flood distributions: insights from common streamflow dynamics H. Wang et al. 10.5194/hess-29-1525-2025
46. Streamflow Recession Analysis Using Water Height E. Jachens et al. 10.1029/2020WR027091
47. A proposed composite Boussinesq equation for estimating baseflow recessions and storage-outflow relationship M. Alattar & T. Troy 10.1016/j.jhydrol.2023.130321
48. Spatial and Temporal Patterns in Baseflow Recession in the Continental United States A. Tashie et al. 10.1029/2019WR026425
49. Time‐Variability of Flow Recession Dynamics: Application of Machine Learning and Learning From the Machine M. Kim et al. 10.1029/2022WR032690
50. Stochastic modeling of interannual variation of hydrologic variables D. Dralle et al. 10.1002/2017GL074139
51. Age‐Ranked Storage‐Discharge Relations: A Unified Description of Spatially Lumped Flow and Water Age in Hydrologic Systems C. Harman 10.1029/2017WR022304
52. Predicting baseflow recession characteristics at ungauged stream locations using a physical and machine learning approach K. Eng et al. 10.1016/j.advwatres.2023.104440
53. More Frequent Runoff and Connected Sources in Headwaters Promote Browning of Northern Freshwaters S. Basso et al. 10.1021/acs.estlett.4c00939
54. Large Scale Evaluation of Relationships Between Hydrologic Signatures and Processes H. McMillan et al. 10.1029/2021WR031751