22 citations as recorded by crossref.

1. Estimation of insurance-related losses resulting from coastal flooding in France J. Naulin et al. https://doi.org/10.5194/nhess-16-195-2016
2. Future wind and wave climate projections in the Indian Ocean based on a super-high-resolution MRI-AGCM3.2S model projection B. Kamranzad & N. Mori https://doi.org/10.1007/s00382-019-04861-7
3. Coastal morphological changes due to the Nivar cyclone on the East Coast of India R. Gracy Margret Mary et al. https://doi.org/10.1007/s12665-023-11286-3
4. Dynamic parameter sensitivity in numerical modelling of cyclone-induced waves: a multi-look approach using advanced meta-modelling techniques J. Rohmer et al. https://doi.org/10.1007/s11069-016-2513-8
5. Generation of 100-year-return value maps of maximum significant wave heights with automated threshold value estimation S. Roy et al. https://doi.org/10.1007/s41324-019-00293-x
6. Climatology and trends of the Indian Ocean surface waves based on 39‐year long ERA5 reanalysis data T. Muhammed Naseef & V. Sanil Kumar https://doi.org/10.1002/joc.6251
7. Basin scale wind-wave prediction using empirical orthogonal function analysis and neural network models M. Bhattacharya & M. Sinha https://doi.org/10.1016/j.ringps.2021.100032
8. The wave regimes of the Central Pacific Ocean with a focus on pearl farming atolls C. Dutheil et al. https://doi.org/10.1016/j.marpolbul.2020.111751
9. A comparative analysis of machine learning algorithms for predicting wave runup A. Durap https://doi.org/10.1007/s44218-023-00033-7
10. An AHP-derived method for mapping the physical vulnerability of coastal areas at regional scales G. Le Cozannet et al. https://doi.org/10.5194/nhess-13-1209-2013
11. Statistical estimation of spatial wave extremes for tropical cyclones from small data samples: validation of the STM-E approach using long-term synthetic cyclone data for the Caribbean Sea R. Wada et al. https://doi.org/10.5194/nhess-22-431-2022
12. Wave climate around New Caledonia B. Pagli et al. https://doi.org/10.1007/s00382-024-07365-1
13. Coastal Flooding in the Maldives Induced by Mean Sea-Level Rise and Wind-Waves: From Global to Local Coastal Modelling A. Amores et al. https://doi.org/10.3389/fmars.2021.665672
14. Lagoon islets as indicators of recent environmental changes in the South Pacific – The New Caledonian example M. Garcin et al. https://doi.org/10.1016/j.csr.2016.03.025
15. Toward the probabilistic forecasting of cyclone-induced marine flooding by overtopping at Reunion Island aided by a time-varying random-forest classification approach S. Lecacheux et al. https://doi.org/10.1007/s11069-020-04307-y
16. Combining uncertain machine learning predictions and numerical simulation results for the extreme value analysis of cyclone-induced wave heights – Application in Guadeloupe J. Rohmer et al. https://doi.org/10.1016/j.ocemod.2023.102275
17. Clonal structure through space and time: High stability in the holothurianStichopus chloronotus(Echinodermata) A. Pirog et al. https://doi.org/10.1002/ece3.3285
18. A systemic and comprehensive assessment of coastal hazard changes: method and application to France and its overseas territories M. Igigabel et al. https://doi.org/10.5194/nhess-24-1951-2024
19. A new global high-resolution wave model for the tropical ocean using WAVEWATCH III version 7.14 A. Gaffet et al. https://doi.org/10.5194/gmd-18-1929-2025
20. Probabilistic Sea Level Projections at the Coast by 2100 S. Jevrejeva et al. https://doi.org/10.1007/s10712-019-09550-y
21. Co-creating a coastal climate service to prioritise investments in erosion prevention and sea-level rise adaptation in the Maldives J. Hinkel et al. https://doi.org/10.1016/j.cliser.2023.100401
22. Gaining insight into regional coastal changes on La Réunion island through a Bayesian data mining approach T. Bulteau et al. https://doi.org/10.1016/j.geomorph.2014.09.002