70 citations as recorded by crossref.

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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
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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
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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
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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
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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
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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
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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
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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. Identifying Headwater Streams across the Conterminous United States C. Lane et al. https://doi.org/10.1007/s10021-025-01041-z
54. 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
55. 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
56. 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
57. Ecological niche models as tools for freshwater fish conservation in a changing world A. Jan et al. https://doi.org/10.1093/fshmag/vuag005
58. 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
59. Improving calibration of groundwater flow models using headwater streamflow intermittence R. Abhervé et al. https://doi.org/10.1002/hyp.15167
60. A hydrogeomorphology-informed method for mapping continuous river networks from satellite imagery X. Yi et al. https://doi.org/10.1080/15481603.2025.2529620
61. 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
62. 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
63. The Spatial Discrepancy Between Colombian Freshwater Fish Suitable Habitats and Existing Protected Areas T. Tomiczek et al. https://doi.org/10.1111/ddi.70168
64. 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
65. 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
66. 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
67. ‘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
68. 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
69. 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
70. 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