Melisa Menéndez

6.4k total citations
86 papers, 4.2k citations indexed

About

Melisa Menéndez is a scholar working on Oceanography, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, Melisa Menéndez has authored 86 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Oceanography, 43 papers in Atmospheric Science and 38 papers in Global and Planetary Change. Recurrent topics in Melisa Menéndez's work include Ocean Waves and Remote Sensing (41 papers), Climate variability and models (35 papers) and Oceanographic and Atmospheric Processes (34 papers). Melisa Menéndez is often cited by papers focused on Ocean Waves and Remote Sensing (41 papers), Climate variability and models (35 papers) and Oceanographic and Atmospheric Processes (34 papers). Melisa Menéndez collaborates with scholars based in Spain, Australia and United Kingdom. Melisa Menéndez's co-authors include Íñigo J. Losada, Fernando J. Méndez, Philip Woodworth, Jorge Pérez, Alberto Luceño, Cristina Izaguirre, Paula Camus, Mar Viana, Andrés Alástuey and Xavier Querol and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Melisa Menéndez

83 papers receiving 4.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Melisa Menéndez Spain 35 2.5k 2.2k 1.6k 1.2k 509 86 4.2k
Anna Rutgersson Sweden 34 1.9k 0.8× 2.5k 1.1× 1.5k 0.9× 474 0.4× 124 0.2× 159 3.7k
James O’Donnell United States 21 974 0.4× 1.2k 0.5× 858 0.5× 514 0.4× 363 0.7× 71 3.4k
Stephen E. Belcher United Kingdom 34 1.7k 0.7× 1.7k 0.7× 1.4k 0.8× 569 0.5× 260 0.5× 67 3.6k
George Kallos Greece 36 3.2k 1.3× 494 0.2× 2.5k 1.5× 477 0.4× 1.3k 2.5× 122 4.7k
Fredolin Tangang Malaysia 37 2.3k 0.9× 1.1k 0.5× 2.9k 1.8× 119 0.1× 462 0.9× 134 4.3k
Yign Noh South Korea 25 7.0k 2.9× 1.6k 0.7× 6.1k 3.7× 318 0.3× 551 1.1× 75 8.1k
B. B. Hicks United States 39 3.9k 1.6× 487 0.2× 3.7k 2.2× 490 0.4× 1.0k 2.1× 166 6.0k
Αναστάσιος Παπαδόπουλος Greece 27 1.5k 0.6× 500 0.2× 1.5k 0.9× 248 0.2× 193 0.4× 95 2.4k
Liew Juneng Malaysia 37 2.1k 0.9× 577 0.3× 2.4k 1.5× 105 0.1× 986 1.9× 132 4.0k
James M. Wilczak United States 32 2.7k 1.1× 319 0.1× 2.8k 1.7× 175 0.1× 561 1.1× 97 4.6k

Countries citing papers authored by Melisa Menéndez

Since Specialization
Citations

This map shows the geographic impact of Melisa Menéndez'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 Melisa Menéndez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Melisa Menéndez more than expected).

Fields of papers citing papers by Melisa Menéndez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Melisa Menéndez. 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 Melisa Menéndez. The network helps show where Melisa Menéndez may publish in the future.

Co-authorship network of co-authors of Melisa Menéndez

This figure shows the co-authorship network connecting the top 25 collaborators of Melisa Menéndez. A scholar is included among the top collaborators of Melisa Menéndez based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Melisa Menéndez. Melisa Menéndez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Menéndez, Melisa, et al.. (2024). A parameterization for the correction of ERA5 severe winds for extreme ocean wave modelling. Ocean Engineering. 312. 119048–119048. 8 indexed citations
3.
Menéndez, Melisa, et al.. (2024). Variability Assessment of Global Extreme Coastal Sea Levels Using Altimetry Data. Remote Sensing. 16(8). 1355–1355. 2 indexed citations
4.
Menéndez, Melisa, et al.. (2024). Regional modelling of extreme sea levels induced by hurricanes. Natural hazards and earth system sciences. 24(11). 4109–4131.
5.
Sweet, William, Ayesha S. Genz, Melisa Menéndez, John J. Marra, & Jayantha Obeysekera. (2024). Implications of Variability and Trends in Coastal Extreme Water Levels. Geophysical Research Letters. 51(14). 5 indexed citations
6.
Semedo, Álvaro, Melisa Menéndez, Gil Lemos, et al.. (2023). On the assessment of the wave modeling uncertainty in wave climate projections. Environmental Research Letters. 18(12). 124006–124006. 7 indexed citations
7.
Menéndez, Melisa, et al.. (2022). Exploring the Climatic Potential of Somo’s Surf Spot for Tourist Destination Management. Sustainability. 14(14). 8496–8496. 7 indexed citations
8.
Menéndez, Melisa, et al.. (2022). Climate Change Impact on the Offshore Wind Energy Over the North Sea and the Irish Sea. Frontiers in Energy Research. 10. 16 indexed citations
9.
Camus, Paula, Íñigo J. Losada, Cristina Izaguirre, et al.. (2017). Statistical wave climate projections for coastal impact assessments. Earth s Future. 5(9). 918–933. 112 indexed citations
10.
Woodworth, Philip, John Hunter, Marta Marcos, et al.. (2016). Towards a global higher‐frequency sea level dataset. Geoscience Data Journal. 3(2). 50–59. 157 indexed citations
11.
Sweet, William, Melisa Menéndez, Ayesha S. Genz, et al.. (2016). In Tide’s Way: Southeast Florida’s September 2015 Sunny-day Flood. Bulletin of the American Meteorological Society. 97(12). S25–S30. 31 indexed citations
12.
Weiße, Ralf, Debora Bellafiore, Melisa Menéndez, et al.. (2013). Changing extreme sea levels along European coasts. Coastal Engineering. 87. 4–14. 97 indexed citations
13.
Tomás, Antonio, et al.. (2012). Predicting the ocurrence probability of freak waves baed on buoy data and non-stationary extreme value models. EGU General Assembly Conference Abstracts. 14238. 1 indexed citations
14.
Reguero, Borja G., Melisa Menéndez, Fernando J. Méndez, Roberto Mı́nguez, & Íñigo J. Losada. (2012). A Global Ocean Wave (GOW) calibrated reanalysis from 1948 onwards. Coastal Engineering. 65. 38–55. 201 indexed citations
15.
Menéndez, Melisa, Antonio Tomás, Paula Camus, et al.. (2011). A methodology to evaluate regional-scale offshore wind energy resources. 1–8. 25 indexed citations
16.
Losada, Íñigo J., Fernando J. Méndez, Gabriel Díaz‐Hernández, et al.. (2009). Introducing marine climate variability into life cycle management of coastal and offshore structures. 1–6. 3 indexed citations
17.
Méndez, Fernando J., Melisa Menéndez, Alberto Luceño, & Íñigo J. Losada. (2007). Analyzing Monthly Extreme Sea Levels with a Time-Dependent GEV Model. Journal of Atmospheric and Oceanic Technology. 24(5). 894–911. 105 indexed citations
18.
Viana, Mar, Xavier Querol, Andrés Alástuey, Gotzon Gangoiti, & Melisa Menéndez. (2003). PM levels in the Basque Country (Northern Spain): analysis of a 5-year data record and interpretation of seasonal variations. Atmospheric Environment. 37(21). 2879–2891. 62 indexed citations
19.
Iglesias, Ana, et al.. (2002). Water Availability for Agriculture: Understanding Adaptation Strategies to Climate in the Mediterranean. AGUSM. 2002. 1 indexed citations
20.
Alday, Juan José Gómez, Luis Ángel Ortega Cuesta, Melisa Menéndez, & Javier Elorza. (2001). Inocerámidos y sedimento carbonatado (Maastrichtiense inferior, Arco Vasco): Comportamiento de la relación 87Sr/86Sr durante la diagénesis (Parte I).. Geogaceta. 163–166. 1 indexed citations

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.

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