Mercè Casas‐Prat
Impact in
- Earth-Surface Processes top 2%
- Coastal and Marine Dynamics
- Oceanography top 2%
- Ocean Waves and Remote Sensing
- Oceanographic and Atmospheric Processes
Papers in
- Oceanography 20
- Ocean Waves and Remote Sensing 17
- Oceanographic and Atmospheric Processes 10
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- Coastal and Marine Dynamics 12
- Co-authors
- Joan Pau Sierra (11 shared papers)Xiaolan Wang (7 shared papers)Neil C. Swart (1 shared paper)L.H. Holthuijsen (2 shared papers)Mark Hemer (3 shared papers)Agustín Sánchez-Arcilla Conejo (2 shared papers)Nobuhito Mori (3 shared papers)Joao Morim (2 shared papers)
In The Last Decade
Mercè Casas‐Prat
23 papers receiving 1.1k citations
Mercè Casas‐Prat's Hit Papers
Peers
Comparison fields: 5 of 52
- Earth-Surface Processes 463
- Oceanography 657
- Atmospheric Science 657
- Global and Planetary Change 266
- Ecology 161
Countries citing papers authored by Mercè Casas‐Prat
This map shows the geographic impact of Mercè Casas‐Prat's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mercè Casas‐Prat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mercè Casas‐Prat more than expected).
Fields of papers citing papers by Mercè Casas‐Prat
This network shows the impact of papers produced by Mercè Casas‐Prat. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mercè Casas‐Prat. The network helps show where Mercè Casas‐Prat may publish in the future.
Co-authors
The 25 scholars most cited alongside Mercè Casas‐Prat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Robustness and uncertainties in global multivariate wind-wave climate projections Hit paper breakdown → | 2019 | 277 |
| 2 | 2018 | 95 | |
| 3 | 2013 | 73 | |
| 4 | 2020 | 66 | |
| 5 | 2010 | 60 | |
| 6 | 2024 | 53 | |
| 7 | 2016 | 51 | |
| 8 | 2021 | 50 | |
| 9 | 2014 | 43 | |
| 10 | 2013 | 39 | |
| 11 | 2010 | 38 | |
| 12 | 2020 | 36 | |
| 13 | 2012 | 35 | |
| 14 | 2021 | 34 | |
| 15 | 2016 | 34 | |
| 16 | 2015 | 26 | |
| 17 | 2024 | 25 | |
| 18 | 2016 | 21 | |
| 19 | 2022 | 13 | |
| 20 | 2010 | 7 |
About Mercè Casas‐Prat
Mercè Casas‐Prat is a scholar working on Oceanography, Earth-Surface Processes, Atmospheric Science, Global and Planetary Change and Ecology, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ocean Waves and Remote Sensing (17 papers), Tropical and Extratropical Cyclones Research (12 papers), Coastal and Marine Dynamics (12 papers), Oceanographic and Atmospheric Processes (10 papers), Climate variability and models (6 papers), Arctic and Antarctic ice dynamics (5 papers), Coastal wetland ecosystem dynamics (3 papers) and Meteorological Phenomena and Simulations (2 papers). The work is most often cited by research in Earth-Surface Processes (463 citations), Oceanography (657 citations), Atmospheric Science (657 citations), Global and Planetary Change (266 citations) and Ecology (161 citations). Mercè Casas‐Prat has collaborated with scholars based in Spain, Canada and Australia. Frequent co-authors include Joan Pau Sierra, Xiaolan Wang, Neil C. Swart, L.H. Holthuijsen, Mark Hemer, Agustín Sánchez-Arcilla Conejo, Nobuhito Mori, Joao Morim, Li Erikson and Dario Conte. Their work appears in journals such as Ocean Modelling, Natural hazards and earth system sciences, Journal of Geophysical Research Oceans, Climatic Change and Renewable Energy.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.