51 citations as recorded by crossref.

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5. Modeling the flow behavior of Haynes 214 superalloy during hot deformation using mathematical and artificial intelligence-based models A. Shokry et al. https://doi.org/10.1016/j.mtcomm.2022.104326
6. Mega-trees in a fragmented Atlantic Forest landscape: where are they and why are they there? J. dos Santos et al. https://doi.org/10.1016/j.apgeog.2026.104194
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8. Larsemann Hills: Geomorphometric modeling and mapping I. Florinsky https://doi.org/10.1016/j.polar.2023.100969
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12. Variability of the Cold Season Climate in Central Asia. Part I: Weather Types and Their Tropical and Extratropical Drivers L. Gerlitz et al. https://doi.org/10.1175/JCLI-D-17-0715.1
13. Predictive Mapping of Glacial and Fluvioglacial Landforms in the Nadym River Basin (North of West Siberia) With TanDEM-X DEM O. Sizov https://doi.org/10.1109/JSTARS.2021.3077474
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18. A statistically based seasonal precipitation forecast model with automatic predictor selection and its application to central and south Asia L. Gerlitz et al. https://doi.org/10.5194/hess-20-4605-2016
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20. Topographic and Climatic Controls on Depth–Duration–Frequency Curve Parameters in the Gargano Promontory (Southern Italy) G. Iemmolo et al. https://doi.org/10.3390/hydrology13070188
21. Within-site drivers for soil nutrient variability in plantation forests: A case study from dry sub-humid New Zealand S. Salekin et al. https://doi.org/10.1016/j.catena.2021.105149
22. Spatial prediction of soil organic carbon stocks in an arid rangeland using machine learning algorithms M. Rostaminia et al. https://doi.org/10.1007/s10661-021-09543-8
23. Near surface air temperature lapse rates over complex terrain: a WRF based analysis of controlling factors and processes for the central Himalayas R. Karki et al. https://doi.org/10.1007/s00382-019-05003-9
24. Comparing high-resolution snow mapping approaches in palsa mires: UAS lidar vs. modelling A. Störmer et al. https://doi.org/10.5194/tc-19-3949-2025
25. System for Automated Geoscientific Analyses (SAGA) v. 2.1.4 O. Conrad et al. https://doi.org/10.5194/gmd-8-1991-2015
26. Recolonization of native and invasive plants after large-scale clearance of a temperate coastal dunefield D. Kim et al. https://doi.org/10.1016/j.apgeog.2019.05.007
27. Topoclimatic factors create favourable conditions for carbon-dense forests in the Central Himalayas S. Khanal et al. https://doi.org/10.1038/s41598-025-19127-y
28. Drivers of elevational richness peaks, evaluated for trees in the east Himalaya S. Rana et al. https://doi.org/10.1002/ecy.2548
29. Rising mean and extreme near‐surface air temperature across Nepal R. Karki et al. https://doi.org/10.1002/joc.6344
30. Mass elevation and lee effects markedly lift the elevational distribution of ground beetles in the Himalaya-Tibet orogen J. Schmidt et al. https://doi.org/10.1371/journal.pone.0172939
31. Determinants of COVID-19 Face Mask Litter in Coastal Urban Parking Lots: Implications for Source Modelling of Potential Microplastic Pollution R. France & B. Heung https://doi.org/10.4236/jep.2024.158050
32. Quantifying the added value of convection-permitting climate simulations in complex terrain: a systematic evaluation of WRF over the Himalayas R. Karki et al. https://doi.org/10.5194/esd-8-507-2017
33. Spatiotemporal variability of the precipitation concentration and diversity in Central Asia T. Yang et al. https://doi.org/10.1016/j.atmosres.2020.104954
34. CHELSA-W5E5: daily 1 km meteorological forcing data for climate impact studies D. Karger et al. https://doi.org/10.5194/essd-15-2445-2023
35. Comparison of modelled- and remote sensing- derived daily snow line altitudes at Ulugh Muztagh, northern Tibetan Plateau M. Spiess et al. https://doi.org/10.1007/s11629-015-3818-x
36. Topographic conditions dominate tree species recovery over 15 years post-fire in a temperate Pinus sylvestris forest J. Holík et al. https://doi.org/10.1186/s42408-025-00374-3
37. Modelling the Effect of Microsite Influences on the Growth and Survival of Juvenile Eucalyptus globoidea (Blakely) and Eucalyptus bosistoana (F. Muell) in New Zealand S. Salekin et al. https://doi.org/10.3390/f10100857
38. A review of downscaling methods of satellite-based precipitation estimates A. Abdollahipour et al. https://doi.org/10.1007/s12145-021-00669-4
39. Downscaling precipitation over High-mountain Asia using multi-fidelity Gaussian processes: improved estimates from ERA5 K. Tazi et al. https://doi.org/10.5194/hess-28-4903-2024
40. GeoDS (v.1.0): a simple Geographical DownScaling model for long-term precipitation data over complex terrains J. Brenner et al. https://doi.org/10.5194/gmd-19-1075-2026
41. Long-term Precipitation Estimation Combining Time-Series Retrospective Forecasting and Downscaling-Calibration Procedure H. Gong et al. https://doi.org/10.1007/s11269-022-03190-5
42. Climate informed seasonal forecast of water availability in Central Asia: State-of-the-art and decision making context L. Gerlitz et al. https://doi.org/10.1016/j.wasec.2020.100061
43. Using Machine Learning to Map Western Australian Landscapes for Mineral Exploration T. Albrecht et al. https://doi.org/10.3390/ijgi10070459
44. Traumatic Resin Ducts in Alaska Mountain Hemlock Trees Provide a New Proxy for Winter Storminess B. Gaglioti et al. https://doi.org/10.1029/2018JG004849
45. Statistical modelling of snow cover dynamics in the Central Himalaya Region, Nepal J. Weidinger et al. https://doi.org/10.3354/cr01518
46. Climate–Glacier Dynamics and Topographic Forcing in the Karakoram Himalaya: Concepts, Issues and Research Directions I. Dobreva et al. https://doi.org/10.3390/w9060405
47. Evaluation and Correction of Climate Simulations for the Tibetan Plateau Using the CMIP6 Models J. Gao et al. https://doi.org/10.3390/atmos13121947
48. Hybrid height growth and survival model for juvenile Eucalyptus globoidea (Blakely) and E. bosistoana (F. Muell) in New Zealand S. Salekin et al. https://doi.org/10.1016/j.foreco.2021.119074
49. Spatially explicit prediction of Nepal’s forest biomass stocks, a data-driven bioregionalisation and machine learning approach S. Khanal et al. https://doi.org/10.1186/s13021-025-00367-4
50. Hidden Markov Model for quantitative prediction of snowfall and analysis of hazardous snowfall events over Indian Himalaya J. JOSHI et al. https://doi.org/10.1007/s12040-017-0810-6
51. An evaluation of terrain‐based downscaling of fractional snow covered area data sets based on LiDAR‐derived snow data and orthoimagery N. Cristea et al. https://doi.org/10.1002/2017WR020799