31 citations as recorded by crossref.

1. Coati optimization algorithm based Deep Convolutional Forest method for prediction of atmospheric and oceanic parameters S. Raj et al. https://doi.org/10.1038/s41598-024-73811-z
2. The Role of Traditional Knowledge in Coastal Adaptation Priorities: The Pamunkey Indian Reservation N. Hutton & T. Allen https://doi.org/10.3390/w12123548
3. Tidal regime shift in Lingdingyang Bay, the Pearl River Delta: An identification and assessment of driving factors H. Wang et al. https://doi.org/10.1002/hyp.13773
4. Extreme floods of Venice: characteristics, dynamics, past and future evolution (review article) P. Lionello et al. https://doi.org/10.5194/nhess-21-2705-2021
5. A Stepwise Approach to Beach Restoration at Calabaia Beach M. Maiolo et al. https://doi.org/10.3390/w12102677
6. Salt‐marsh retreat on different time scales: Issues and prospects from a 5‐year monitoring campaign in the Venice Lagoon R. Mel et al. https://doi.org/10.1002/esp.5359
7. A coupled wave-hydrodynamical model to assess the effect of Mediterranean storms under climate change: The Calabaia case study R. Mel et al. https://doi.org/10.1016/j.dynatmoce.2023.101368
8. How long the Mo.S.E. barriers will be effective in protecting all urban settlements within the Venice Lagoon? The wind setup constraint R. Mel et al. https://doi.org/10.1016/j.coastaleng.2021.103923
9. Will the wind associated with the Adriatic storm surges change in future climate? I. Međugorac et al. https://doi.org/10.1007/s00704-020-03379-x
10. Multipurpose Use of Artificial Channel Networks for Flood Risk Reduction: The Case of the Waterway Padova–Venice (Italy) R. Mel et al. https://doi.org/10.3390/w12061609
11. Pseudo-global warming projections of extreme wave storms in complex coastal regions: the case of the Adriatic Sea C. Denamiel et al. https://doi.org/10.1007/s00382-020-05397-x
12. The Adriatic Sea: A Long-Standing Laboratory for Sea Level Studies I. Vilibić et al. https://doi.org/10.1007/s00024-017-1625-8
13. Three-Dimensional Simulations of Wind Effects on Green Island Wake T. Hou et al. https://doi.org/10.3390/w12113039
14. Can Proxy-Based Geospatial and Machine Learning Approaches Map Sewer Network Exposure to Groundwater Infiltration? N. Zeydalinejad et al. https://doi.org/10.3390/smartcities8050145
15. Assessing basin scale modelling for projecting storm surge extremes under climate change scenarios in northwest Ireland T. Ahmed et al. https://doi.org/10.1016/j.ocemod.2025.102660
16. Addressing the effect of the Mo.S.E. barriers closure on wind setup within the Venice lagoon R. Mel et al. https://doi.org/10.1016/j.ecss.2019.106249
17. Exploring the partial use of the Mo.S.E. system as effective adaptation to rising flood frequency of Venice R. Mel https://doi.org/10.5194/nhess-21-3629-2021
18. Projecting extreme sea levels for Northwest Ireland under future climate scenarios T. Ahmed et al. https://doi.org/10.3389/fclim.2026.1745732
19. Is Clustering Time-Series Water Depth Useful? An Exploratory Study for Flooding Detection in Urban Drainage Systems J. Li et al. https://doi.org/10.3390/w12092433
20. Wave Climate and Trends for the Marine Experimental Station of Capo Tirone Based on a 70-Year-Long Hindcast Dataset T. Lo Feudo et al. https://doi.org/10.3390/w14020163
21. Modeling Study on the Asymmetry of Positive and Negative Storm Surges along the Southeastern Coast of China D. Chu et al. https://doi.org/10.3390/jmse9050458
22. Meshless Model for Wave-Induced Oscillatory Seabed Response around a Submerged Breakwater Due to Regular and Irregular Wave Loading D. Jeng et al. https://doi.org/10.3390/jmse9010015
23. The first operations of Mo.S.E. system to prevent the flooding of Venice: Insights on the hydrodynamics of a regulated lagoon R. Mel et al. https://doi.org/10.1016/j.ecss.2021.107547
24. A Simplified Method for an Evaluation of the Effect of Submerged Breakwaters on Wave Damping: The Case Study of Calabaia Beach M. Maiolo et al. https://doi.org/10.3390/jmse8070510
25. Optimal floodgate operation for river flood management: The case study of Padova (Italy) R. Mel et al. https://doi.org/10.1016/j.ejrh.2020.100702
26. Climatology and process-oriented analysis of the Adriatic sea level extremes J. Šepić et al. https://doi.org/10.1016/j.pocean.2022.102908
27. Neural Network Approach to Retrieving Ocean Subsurface Temperatures from Surface Parameters Observed by Satellites H. Cheng et al. https://doi.org/10.3390/w13030388
28. Projections of extreme storm surge levels along Europe M. Vousdoukas et al. https://doi.org/10.1007/s00382-016-3019-5
29. Return periods of extreme sea levels: From magnitude to frequency, duration and seasonality. Implications in a regulated coastal lagoon D. Baldan et al. https://doi.org/10.1016/j.scitotenv.2022.161326
30. Ensemble approach for projections of return periods of extreme water levels in Estonian waters M. Eelsalu et al. https://doi.org/10.1016/j.csr.2014.09.012
31. Simplified methods for real-time prediction of storm surge uncertainty: The city of Venice case study R. Mel et al. https://doi.org/10.1016/j.advwatres.2014.06.014