73 citations as recorded by crossref.

1. Estimating small river widths from remote-sensing images using a fraction image-based deep learning model Y. Peng et al. https://doi.org/10.1080/2150704X.2025.2564316
2. Disentangling Effects of Natural Factors and Human Disturbances on Aquatic Systems—Needs and Approaches L. Wang et al. https://doi.org/10.3390/w15071387
3. Relationship between precipitation, river runoff and evaporation over the European Russia and its variability V. Grigoriev et al. https://doi.org/10.55959/MSU0579-9414.5.79.6.5
4. Understanding the complex dynamics of zebra mussel invasions over several decades in European rivers: drivers, impacts and predictions P. Haubrock et al. https://doi.org/10.1111/oik.10283
5. Dasymetric Algorithms Using Land Cover to Estimate Human Population at Smaller Spatial Scales I. Bonnevie et al. https://doi.org/10.3390/ijgi13120427
6. Optimizing river restoration: A multi-scenario approach to barrier removal prioritization M. Darre et al. https://doi.org/10.1016/j.jenvman.2025.126176
7. Environmental heterogeneity governing river macrophyte beta diversity in Europe is scale- and context-dependent X. Jiang et al. https://doi.org/10.1007/s10980-025-02212-y
8. Time series of freshwater macroinvertebrate abundances and site characteristics of European streams and rivers E. Welti et al. https://doi.org/10.1038/s41597-024-03445-3
9. GEDTM30: global ensemble digital terrain model at 30 m and derived multiscale terrain variables Y. Ho et al. https://doi.org/10.7717/peerj.19673
10. Use of spatial water database as an essential element of water management – a methodological overview N. Janczewska et al. https://doi.org/10.2478/environ-2025-0005
11. The Danube Fish Database: documenting species distributions across a major European river basin Y. Torres-Cambas et al. https://doi.org/10.1038/s41597-026-07249-5
12. Hydroclimate and landscape diversity drive highly variable greenhouse gas emissions from tropical and subtropical inland waters C. Duvert et al. https://doi.org/10.1038/s44221-025-00522-8
13. When Data Crosses Borders – Join Forces! B. Ebert et al. https://doi.org/10.52825/cordi.v1i.341
14. A spatial inventory of freshwater macroinvertebrate occurrences in the Guineo-Congolian biodiversity hotspot E. Akindele et al. https://doi.org/10.1038/s41597-025-04471-5
15. An improved global river vector dataset based on multi-source river data fusion Y. Liu et al. https://doi.org/10.1038/s41597-025-06399-2
16. More flow upstream and less flow downstream: The changing form and function of global rivers D. Feng & C. Gleason https://doi.org/10.1126/science.adl5728
17. Spatiotemporal changes in river network connectivity in the Nile River Basin due to hydropower dams A. Basooma et al. https://doi.org/10.1371/journal.pone.0322338
18. Site-specific survey and reference data reveal drivers of fish community diversity changes in southwest Germany S. Roch et al. https://doi.org/10.1007/s10750-025-05893-3
19. GeoFRESH – an online platform for freshwater geospatial data processing S. Domisch et al. https://doi.org/10.1080/17538947.2024.2391033
20. Remote sensing and the new global river science D. Feng et al. https://doi.org/10.1038/s44221-026-00665-2
21. Current protected areas provide limited benefits for European river biodiversity J. Sinclair et al. https://doi.org/10.1038/s41467-025-67125-5
22. AltiMaP: altimetry mapping procedure for hydrography data M. Revel et al. https://doi.org/10.5194/essd-16-75-2024
23. The importance of trimming National Hydrography Dataset streamline networks when delineating potential habitats and species distributions for fish and amphibians in broad geographical applications D. Isaak et al. https://doi.org/10.1093/najfmt/vqaf014
24. Technical note: Seamless extraction and analysis of river networks in R L. Carraro https://doi.org/10.5194/hess-27-3733-2023
25. Headwater streams in an urbanizing world M. Imberger et al. https://doi.org/10.1086/726682
26. Permafrost extent sets drainage density in the Arctic J. Del Vecchio et al. https://doi.org/10.1073/pnas.2307072120
27. Technical Note: Drainage Density-Preserving River Network Delineation Algorithm H. Yang et al. https://doi.org/10.3390/w17111636
28. Lake-TopoCat: a global lake drainage topology and catchment database M. Sikder et al. https://doi.org/10.5194/essd-15-3483-2023
29. Mapping global freshwater ecosystems to guide national restoration targets and nature-based solutions M. Hashemi et al. https://doi.org/10.1038/s44221-025-00573-x
30. Evaluating the readiness for river barrier removal: A scoping review under the EU nature restoration law M. Darre et al. https://doi.org/10.1016/j.scitotenv.2024.178180
31. Current and near-future conditions of aquatic spatial data for use in ecological models in the United States G. Henderson et al. https://doi.org/10.1051/kmae/2026003
32. Tracking long-term shifts in non-native freshwater macroinvertebrates across three European countries M. Toutain et al. https://doi.org/10.1016/j.scitotenv.2023.167402
33. Too much and not enough data: Challenges and solutions for generating information in freshwater research and monitoring A. Smits et al. https://doi.org/10.1002/ecs2.70205
34. hydrographr: An R package for scalable hydrographic data processing M. Schürz et al. https://doi.org/10.1111/2041-210X.14226
35. Urbanization alters riverine fluorescent dissolved organic matter characteristics in a forested city – metropolitan Atlanta, Georgia (USA) S. Chen et al. https://doi.org/10.1016/j.envres.2026.124085
36. Recent streamflow variability linked to climate, dam operations and land cover change in the Irrawaddy River, Southeast Asia S. Phy et al. https://doi.org/10.1016/j.ejrh.2025.102861
37. A global dataset on species occurrences and functional traits of Schizothoracinae fish T. Du et al. https://doi.org/10.1038/s41597-024-03098-2
38. Advancing the science of headwater streamflow for global water protection H. Golden et al. https://doi.org/10.1038/s44221-024-00351-1
39. From model- to data-centric urban hydroinformatics: an automated workflow for enhancing geospatial data for surface flow modelling W. Svellingen et al. https://doi.org/10.2166/hydro.2026.195
40. Automating nested watershed delineation over the world considering endorheic basins and islands J. Liu et al. https://doi.org/10.1080/17538947.2025.2513044
41. Advancing regional water quality modelling: integrating spatial machine learning with large-scale catchment data M. Jemeljanova et al. https://doi.org/10.1080/20964471.2026.2647582
42. Climate change reshapes freshwater fish distributions in a semi-arid basin of the middle East M. Shahraki et al. https://doi.org/10.1007/s10531-026-03306-y
43. The global EPTO database: Worldwide occurrences of aquatic insects A. Grigoropoulou et al. https://doi.org/10.1111/geb.13648
44. Bofedal wetland and glacial melt contributions to dry season streamflow in a high‐Andean headwater watershed T. Gribbin et al. https://doi.org/10.1002/hyp.15237
45. Metabarcoding reveals ecologically distinct fungal assemblages in river and groundwater along an Austrian alpine to lowland gradient A. Retter et al. https://doi.org/10.1093/femsec/fiae139
46. Climate Variation Shapes Freshwater Fish Spatiotemporal β‐Diversity Patterns Across Latitudes in Europe S. He et al. https://doi.org/10.1111/fwb.70287
47. A global dataset of the shape of drainage systems C. He et al. https://doi.org/10.5194/essd-16-1151-2024
48. Ensemble-based mapping and trophic characterization of lentic water bodies in the Middle Ganga Basin under climate and land use change P. Singh & B. Yadav https://doi.org/10.1016/j.jenvman.2026.128754
49. A unified analysis of global riverine eDNA reveals common associations of fish biodiversity with drainage characteristics Y. Zhang et al. https://doi.org/10.1038/s41559-026-03106-1
50. The recovery of European freshwater biodiversity has come to a halt P. Haase et al. https://doi.org/10.1038/s41586-023-06400-1
51. Downscaling future land cover scenarios for freshwater fish distribution models under climate change A. Brunner et al. https://doi.org/10.1016/j.limno.2023.126139
52. Environment90m – globally standardized environmental variables for freshwater science at high spatial resolution J. García-Márquez et al. https://doi.org/10.5194/essd-18-1541-2026
53. Beyond Niche Overlap: Axis‐Specific Reorganisation of Environmental Space in Freshwater Crayfish Invasions K. Miok et al. https://doi.org/10.1111/jbi.70332
54. Identifying Headwater Streams across the Conterminous United States C. Lane et al. https://doi.org/10.1007/s10021-025-01041-z
55. Unified Global Landslide Catalogue (UGLC): a single, standardised global-scale landslide dataset S. Mancino et al. https://doi.org/10.5194/essd-18-4697-2026
56. Flushing away the future: The effects of wastewater treatment plants on aquatic invertebrates D. Enns et al. https://doi.org/10.1016/j.watres.2023.120388
57. Environmental heterogeneity as a determinant of bee diversity patterns in the Atlantic Forest A. Antonio et al. https://doi.org/10.21425/fob.18.142410
58. Ecological niche models as tools for freshwater fish conservation in a changing world A. Jan et al. https://doi.org/10.1093/fshmag/vuag005
59. Towards decision-oriented sub-basin prioritization of flood vulnerability: a case of Chitral River Basin, Hindu Kush Himalaya using an integrated framework A. Rehman et al. https://doi.org/10.1080/19475705.2026.2710940
60. An integrated geospatial analysis for identifying current and future critical groundwater recharge zones in Lebanon: integrating GIS and remote sensing techniques W. Al-Shaar et al. https://doi.org/10.1007/s12517-026-12485-5
61. Improving calibration of groundwater flow models using headwater streamflow intermittence R. Abhervé et al. https://doi.org/10.1002/hyp.15167
62. A hydrogeomorphology-informed method for mapping continuous river networks from satellite imagery X. Yi et al. https://doi.org/10.1080/15481603.2025.2529620
63. The effects of longitudinal fragmentation on riverine beta diversity are modulated by fragmentation intensity D. Baldan et al. https://doi.org/10.1016/j.scitotenv.2023.166703
64. Valuing the information hidden in true long-term data for invasion science P. Haubrock & I. Soto https://doi.org/10.1007/s10530-023-03091-7
65. The Spatial Discrepancy Between Colombian Freshwater Fish Suitable Habitats and Existing Protected Areas T. Tomiczek et al. https://doi.org/10.1111/ddi.70168
66. The relationships between biotic uniqueness and abiotic uniqueness are context dependent across drainage basins worldwide H. Snåre et al. https://doi.org/10.1007/s10980-024-01883-3
67. Discrete global grid system-based flow routing datasets in the Amazon and Yukon basins C. Liao et al. https://doi.org/10.5194/essd-17-2035-2025
68. A novel approach for the separation of frozen water bodies from snow to enhance snow mapping accuracy in high-altitude wetlands P. Smitha et al. https://doi.org/10.1016/j.coldregions.2025.104649
69. ‘specleanr': an R package for automated flagging of environmental outliers in ecological data for modeling workflows A. Basooma et al. https://doi.org/10.1002/ecog.08221
70. Habitat suitability and niche overlap of endemic and data-deficient catfishes: A prediction modelling approach for river basin scale conservation in peninsular India G. Kantharajan et al. https://doi.org/10.1016/j.jnc.2026.127367
71. Influencing mechanisms of natural factors for riverine dissolved oxygen differ under various geographic features of rivers across China W. Li et al. https://doi.org/10.1007/s11442-026-2485-x
72. A two-stage hierarchical runoff bias correction framework for observation-constrained river flow reconstruction Z. Xiong et al. https://doi.org/10.1038/s41598-026-66464-7
73. Spatial and temporal effects of heat waves on the diversity of European stream invertebrate communities D. Cortés-Guzmán et al. https://doi.org/10.1016/j.scitotenv.2024.176229