49 citations as recorded by crossref.

1. Spatial and Temporal Variability in Concentration‐Discharge Relationships at the Event Scale A. Musolff et al. https://doi.org/10.1029/2020WR029442
2. From source emission quantification to riverine load attribution: Systematic tracing of nitrogen flow in the complex river catchment to inform management strategy W. Li et al. https://doi.org/10.1016/j.ecolind.2025.113951
3. Dynamic Contributions of Stratified Groundwater to Streams Controls Seasonal Variations of Streamwater Transit Times J. Marçais et al. https://doi.org/10.1029/2021WR029659
4. Hydroclimatic variability and riparian wetland restoration control the hydrology and nutrient fluxes in a lowland agricultural catchment S. Wu et al. https://doi.org/10.1016/j.jhydrol.2021.126904
5. Upstream 2000 ha is the boundary of the stream water nitrogen and phosphorus saturation concentration threshold in the subtropical agricultural catchment J. Liu et al. https://doi.org/10.1016/j.catena.2021.105960
6. Isotopic signals in an agricultural watershed suggest denitrification is locally intensive in riparian areas but extensive in upland soils W. Sigler et al. https://doi.org/10.1007/s10533-022-00898-9
7. Deep denitrification: Stream and groundwater biogeochemistry reveal contrasted but connected worlds above and below E. Severe et al. https://doi.org/10.1016/j.scitotenv.2023.163178
8. Disentangling the Impact of Catchment Heterogeneity on Nitrate Export Dynamics From Event to Long‐Term Time Scales C. Winter et al. https://doi.org/10.1029/2020WR027992
9. Impact of environmental disturbances on hydrology and nitrogen cycling in Central European forest catchments L. Bohdálková et al. https://doi.org/10.1007/s10533-025-01220-z
10. Why some catchments recover faster: Controls on nitrate decline in eutrophication-sensitive agricultural catchments in western France R. Dupas et al. https://doi.org/10.1016/j.ejrh.2026.103465
11. What do we need to predict groundwater nitrate recovery trajectories? C. Vautier et al. https://doi.org/10.1016/j.scitotenv.2021.147661
12. Can the young water fraction reduce predictive uncertainty in water transit time estimations? A. Borriero et al. https://doi.org/10.1016/j.jhydrol.2024.132238
13. Modeling Nitrate Export From a Mesoscale Catchment Using StorAge Selection Functions T. Nguyen et al. https://doi.org/10.1029/2020WR028490
14. Impacts on water quality of producing biogas on pig farms as a function of the associated agricultural practices O. Baziz et al. https://doi.org/10.1088/2515-7620/ad5e62
15. Predicting Nutrient Incontinence in the Anthropocene at Watershed Scales R. Frei et al. https://doi.org/10.3389/fenvs.2019.00200
16. When does nitrate peak in rivers and why? Catchment traits and climate relate to synchrony with discharge L. Yang et al. https://doi.org/10.5194/hess-30-4001-2026
17. A simulation-based approach to assess the power of trend detection in high- and low-frequency water quality records S. Liu et al. https://doi.org/10.1007/s10661-020-08592-9
18. Gridded dataset of nitrogen and phosphorus point sources from wastewater in Germany (1950–2019) F. Sarrazin et al. https://doi.org/10.5194/essd-16-4673-2024
19. Long-term assessment of point source contributions to nitrate pollution in the Central European Rhine and Elbe river basins T. Nguyen et al. https://doi.org/10.1088/1748-9326/ae44b0
20. Uncertainty in water transit time estimation with StorAge Selection functions and tracer data interpolation A. Borriero et al. https://doi.org/10.5194/hess-27-2989-2023
21. Fifteen Years of WRTDS for Advancing Water-Quality Science: A Review of Methodological Developments and Global Applications Q. Zhang et al. https://doi.org/10.1021/acs.est.5c12895
22. Droughts can reduce the nitrogen retention capacity of catchments C. Winter et al. https://doi.org/10.5194/hess-27-303-2023
23. Archetypes and Controls of Riverine Nutrient Export Across German Catchments P. Ebeling et al. https://doi.org/10.1029/2020WR028134
24. Model-Based Clustering of Trends and Cycles of Nitrate Concentrations in Rivers Across France M. Heiner et al. https://doi.org/10.1007/s13253-022-00513-2
25. Estimating solute travel times from time series of nitrate concentration in groundwater: Application to a small agricultural catchment in Brittany, France B. Bhaduri et al. https://doi.org/10.1016/j.jhydrol.2022.128390
26. Long‐Term Nitrate Trajectories Vary by Season in Western European Catchments P. Ebeling et al. https://doi.org/10.1029/2021GB007050
27. Explaining the Variability in High‐Frequency Nitrate Export Patterns Using Long‐Term Hydrological Event Classification C. Winter et al. https://doi.org/10.1029/2021WR030938
28. Storm event impacts on in-stream nitrate concentration and discharge dynamics: A comparison of high resolution in-situ measured data with model simulations B. Mehdi et al. https://doi.org/10.1016/j.scitotenv.2020.143406
29. Developing a conceptual model of groundwater – Surface water interactions in a drought sensitive lowland catchment using multi-proxy data Z. Ying et al. https://doi.org/10.1016/j.jhydrol.2023.130550
30. Small villages and their sanitary infrastructure—an unnoticed influence on water quantity and a threat to water quality in headwater catchments C. Spill et al. https://doi.org/10.1007/s10661-023-12051-6
31. Megafire affects stream sediment flux and dissolved organic matter reactivity, but land use dominates nutrient dynamics in semiarid watersheds T. Crandall et al. https://doi.org/10.1371/journal.pone.0257733
32. Hydrologic regimes drive nitrate export behavior in human-impacted watersheds G. Gorski & M. Zimmer https://doi.org/10.5194/hess-25-1333-2021
33. Synthesizing the impacts of baseflow contribution on concentration–discharge (C–Q) relationships across Australia using a Bayesian hierarchical model D. Guo et al. https://doi.org/10.5194/hess-26-1-2022
34. Controls of point and diffuse sources lowered riverine nutrient concentrations asynchronously, thereby warping molar N:P ratios K. Westphal et al. https://doi.org/10.1088/1748-9326/ab98b6
35. Drivers of multi-decadal nitrate regime shifts in a large European catchment A. Wachholz et al. https://doi.org/10.1088/1748-9326/ac6f6a
36. Disparate Seasonal Nitrate Export From Nested Heterogeneous Subcatchments Revealed With StorAge Selection Functions T. Nguyen et al. https://doi.org/10.1029/2021WR030797
37. Bending of the concentration discharge relationship can inform about in-stream nitrate removal J. Dehaspe et al. https://doi.org/10.5194/hess-25-6437-2021
38. Time lags of nitrate, chloride, and tritium in streams assessed by dynamic groundwater flow tracking in a lowland landscape V. Kaandorp et al. https://doi.org/10.5194/hess-25-3691-2021
39. From Iron Curtain to green belt: shift from heterotrophic to autotrophic nitrogen retention in the Elbe River over 35 years of passive restoration A. Wachholz et al. https://doi.org/10.5194/bg-21-3537-2024
40. Accounting for legacy nitrogen stores does not improve the accuracy of riverine nitrate load model predictions J. Carleton & R. Sabo https://doi.org/10.1088/3033-4942/ae09d6
41. Advances in Catchment Science, Hydrochemistry, and Aquatic Ecology Enabled by High-Frequency Water Quality Measurements M. Bieroza et al. https://doi.org/10.1021/acs.est.2c07798
42. The implications of lag times between nitrate leaching losses and riverine loads for water quality policy R. McDowell et al. https://doi.org/10.1038/s41598-021-95302-1
43. Forecasting nitrate evolution in an alluvial aquifer under distinct environmental and climate change scenarios (Lower Rhine Embayment, Germany) F. Ortmeyer et al. https://doi.org/10.1016/j.scitotenv.2020.144463
44. A hillslope-scale aquifer-model to determine past agricultural legacy and future nitrate concentrations in rivers L. Guillaumot et al. https://doi.org/10.1016/j.scitotenv.2021.149216
45. Long-term nitrogen retention and transit time distribution in agricultural catchments in western France R. Dupas et al. https://doi.org/10.1088/1748-9326/abbe47
46. Limited progress in nutrient pollution in the U.S. caused by spatially persistent nutrient sources R. Frei et al. https://doi.org/10.1371/journal.pone.0258952
47. Combining traditional nutrient load analysis with storm hydrograph separation reveals concealed patterns in event-driven nutrient export in a rural headwater catchment L. Ditzel et al. https://doi.org/10.5194/hess-30-4209-2026
48. Nitrate Transport and Retention in Western European Catchments Are Shaped by Hydroclimate and Subsurface Properties S. Ehrhardt et al. https://doi.org/10.1029/2020WR029469
49. Disentangling the Influence of Landscape Characteristics, Hydroclimatic Variability and Land Management on Surface Water NO3‐N Dynamics: Spatially Distributed Modeling Over 30 yr in a Lowland Mixed Land Use Catchment S. Wu et al. https://doi.org/10.1029/2021WR030566